Top Analyst Tweeters

21Jul10

Edit (23 July 2010) – updated with extra 150 names – only showing top 1,000

Who are the analysts who use Twitter the most effectively?

In my regular call for analysts to be more competitive with each other in this mock top trumps scenario, it easy to forget that I don’t care who is number 1. What is crucial is:

who are the analysts that important for my topic area?

If semi-conductors or telecoms is your game then talking with Jeremiah Owyang will be interesting but not a good use of time. The way I would use this list is to focus on those analysts that are important by category. Nevertheless kudos must be given to those analysts who have excelled – they have understand that business models are changing, conversations in the online space are moving at a pace and enabling connections that were previously impossible. These analysts understand that if they are not part of the conversation, then the analysts that are influencing (and probably gaining the revenue) are their competitors.

Using SageCircle’s excellent database combined with a good number of my own I have used TweetLevel to understand who are the most important analysts on Twitter.

The majority of the top 500 names are included on this Twitter list.

The tool I have used to compile this league table (also now being used by MTV in their apprentice style reality show) compiles twitter data from over 30 sources and feeds the data through an algorithm to rank an individual according to four weightings:

1. Popularity (i.e. How many people follow you)
2. Influence (i.e. What you say is interesting, relevant and many people listen)
3. Engaged (i.e. You actively participate within your community)
4. Trusted (i.e. People believe what you say)

Of course, the explanation above is a simplified definition of a complex algorithm(the full methodology of this is shown at the bottom of this post).

 

Ranking Criteria The primary ranking metric is influence. However, it is interesting to see that when we analyse the same 1,000names by influence we get a completely different top 10 list.

Findings Once again a huge hat tip and pat on the back to Jeremiah Owyang who leads the way by a country mile. Everyone should take note how he uses Twitter to engage with his community and provide real value. For the first time I have now seen a larger number of brands in the top five than individuals.

eMarketer, Forrester, EConsultancy and Altimeter Group all fair extremely well. We should therefore recognise other people who punch well above their weight scoring exceptionally highly even though they are only in smaller firms.

Common complaints Whenever these lists are published, there are several points that always get raised which I will address now…

1. This twitter account is not from an analyst. The argument as to whom is an analyst or a consultant is becoming largely moot. In my opinion if someone is independent and directly influences technology procurement then they are an analyst – I for one therefore see Vinnie Mirchandani as an analyst (as well as all the enterprise irregulars and Stowe Boyd who mailed me to tell me he is one too).  I know this will cause a huge amount of disagreement but as an outsider looking in this is the way I see the market. This is not to say that some analysts have different strengths over others, it is more a case that I think as an AR pro, I need to monitor the lot of you.
2. The twitter handle is written by multiple authors. Some twitter accounts have several analysts writing them whereas others do not. The merits of a single twitter account author is something that I personally favour as this allows me to understand the tone of author without having to understand the many personalities that are associated with it. Regardless, for this table, my view has not been to argue this but merely to present the data.
3. It is irrelevant showing all the tweeters as I am only interested in a specific topic– bingo, that is exactly right. My suggestion to all AR pros is to identify which of your analysts are on this and only look at those. If you would like to understand who is important for a particular micro-topic area, please let me know.
4. Hey – you have forgotten to include this list. Please let me know the name and if I will include it as an edit.

Top Analyst Tweeters (ranked by Influence on TweetLevel)
These names are included on this Twitter List

		Account	Influence	Popularity	Engagement	Trust
1		jowyang	76.6	72.8	54.1	67.6
2		eMarketer	75.3	67.9	45.4	70.7
3		Econsultancy	70.3	65	41.1	63.2
4		Gartenberg	69.4	58.5	68.6	58.5
5		forrester	69.2	69.2	48.4	57.8
6		rwang0	66.8	58	57.5	54.7
7		augieray	65.3	56.3	61.1	51
8		monkchips	65.2	58.2	61	53
9		bfeld	64	61.8	50.7	52
10		Gartner_inc	61.9	66.4	40.3	49.8
11		charleneli	61.2	68.8	55.2	43.9
12		TomRaftery	61	56.4	60.9	44.8
13		VanessaAlvarez1	60.3	50.5	59.2	46.6
14		stoweboyd	60.2	61.2	58.5	41.4
15		mfauscette	59.4	55.9	10.6	47.7
16		bmichelson	59.3	47.9	58.1	45.6
17		hharteveldt	59.2	52.9	55.4	45
18		ekolsky	59.2	49.9	71.7	42.7
19		pgreenbe	59.1	52.7	46.3	43.4
20		dhinchcliffe	59	59.5	47.1	43.3
21		maggiefox	59	58.1	49.5	43.1
22		jesus_hoyos	58.8	55.2	48	44.7
23		Ross	58.7	61.2	40.6	43.5
24		mkrigsman	58.6	56.3	48.5	43.8
25		CurtMonash	58.5	50	60.7	42.6
26		Enderle	58.2	57.7	55.1	42.9
27		mgualtieri	57.6	53	45.6	44.1
28		rossrubin	57.5	48.5	66.3	42.1
29		bobegan	57.5	46.4	66	40.2
30		cote	57.5	52.9	50.5	39.8
31		merv	57.4	49.6	55.8	42.2
32		CRMStrategies	57.4	52.2	54.3	42.5
33		ITSinsider	57.4	55.7	59.7	38.8
34		jameskobielus	56.9	48.6	48.2	41.6
35		DT	56.7	46.7	58.7	44.1
36		cselland	56.7	48	54.7	41.4
37		debs	56.5	56.5	59.7	34.6
38		denschaal	56.3	50.9	48.2	41.8
39		jbernoff	56.2	59.8	50	39.4
40		rshevlin	56.2	44.6	72.5	38
41		dealarchitect	55.9	46	64	40.3
42		wood83	55.2	48.2	60.5	35.7
43		lehawes	55.2	46	56.3	39.2
44		rmogull	55.1	49.2	50	40.3
45		gyehuda	55.1	50.3	51	38.2
46		carterlusher	54.9	49.3	46.9	36.5
47		ccmehil	54.8	46.8	67.3	33.4
48		storageio	54.3	47.2	69.7	33.4
49		InFullBloomUS	54.3	48.4	51.7	39.7
50		SethGrimes	54.2	48.8	60.6	35.7
51		sogrady	54.2	48.9	59.7	35.5
52		jclarey	54.2	52.8	50.1	36.9
53		steven_noble	54.2	47.7	58.3	35.8
54		drnatalie	53.9	57.6	49.1	32.9
55		ZoliErdos	53.9	45.4	62.5	36.9
56		richi	53.6	53.2	56.2	32.2
57		stiennon	53.6	60.9	51.9	30.2
58		PhoCusWright	53.4	52.1	35.3	39.3
59		jeffnolan	53.4	49	44.9	39
60		graemethickins	53.4	51.5	42.7	36
61		stylishidea	53.2	46.9	45.2	38.1
62		dankeldsen	53.1	53.4	54.3	33.3
63		stephenodonnell	52.9	60.1	52.1	33.1
64		sig	52.8	39.2	59.4	45.8
65		blairplez	52.8	44.4	56.6	37.8
66		AndreaDiMaio	52.6	46.3	51.4	42.2
67		skemsley	52.6	48.1	48.1	35.6
68		AndiMann	52.4	47.6	54.4	37.1
69		JEBworks	52.1	48.1	52	34.8
70		ggheorghiu	52	44.3	49.3	34.1
71		tomcummings	51.9	47.9	57.8	30.6
72		SteffWatson	51.5	40.1	55.1	32.2
73		JimLundy	51.2	46.7	49.6	31.6
74		samirb	51.2	47.6	58.1	30.2
75		bkwalker	51.1	48.1	36.9	35.8
76		NeilRaden	51	46.5	67	27.7
77		Wikibon	50.9	50.8	46.4	33.7
78		dbmoore	50.9	46.3	37.9	38.1
79		fscavo	50.8	45.1	52.6	36.2
80		Dana_Gardner	50.8	49.6	7	39.5
81		Jake_Hird	50.4	44.5	36.2	37.3
82		randygiusto	50.4	44.1	51.7	30.9
83		jhammond	50.3	44.1	43.6	37
84		dahowlett	50.2	55.1	52.1	27.5
85		jonathaneunice	50.2	46.2	61.1	28.3
86		SimonBramfitt	49.9	37.5	53.5	39.2
87		jevon	49.7	48.7	58.8	26.9
88		jyarmis	49.7	50.5	53.4	25.7
89		nenshad	49.4	47.4	47.4	28.2
90		Mark_Mulligan	49.4	50.4	48.2	28.7
91		bevelson	49.3	43.4	40.7	38.7
92		juliebhunt	49.3	39.2	53.5	30.1
93		jberkowitz	49.1	50	37.2	30.8
94		rgruia	49.1	46.6	50.6	26.3
95		markmadsen	49.1	44.7	55.7	28.1
96		passion4process	49	44.1	50.4	35
97		biz_mobility	48.9	41.8	48.2	31.5
98		billtrippe	48.9	46.5	49	29.1
99		vendorprisey	48.8	47.4	50.4	26.4
100		stephenmann	48.7	43.5	54.6	27.3
101		Hitwise_UK	48.7	58.2	44.6	27
102		Claudia_Imhoff	48.6	47.9	48.5	25.1
103		dvellante	48.6	45.5	48.6	24.8
104		iglazer	48.5	42.1	47.5	29.9
105		timbo2002	48.4	43.1	48.3	29.7
106		slmader	48.3	45	43.4	31.6
107		cswolf	48.2	46	53	29.2
108		JoshNursing	48.2	39.8	56.1	27.7
109		lcecere	48.2	44.4	39	34.8
110		rbkarel	48.1	41.9	42.4	36.3
111		nate_elliott	48	49.8	46.2	26.7
112		Hitwise_US	48	59.1	37.4	27.9
113		arj	48	44.7	43.6	34.9
114		jonno	47.8	44.2	52.2	23.8
115		KarenYetter	47.5	60.2	11	25.9
116		fiberguy	47.4	41	51.7	26.6
117		tebbo	47.3	42.1	54.5	27.1
118		s_crawford	47.2	43	51.7	26.7
119		idarose	47.2	47.5	52	24.1
120		NigelFenwick	47.2	46.4	49.2	25.4
121		ghaff	47	42.4	50.7	29.4
122		infotrends	46.9	45.3	35.5	34.1
123		andreascon	46.6	46	39.1	36.4
124		jblock	46.5	50.9	40.5	29.9
125		Staten7	46.5	44.3	36.1	31.9
126		MaribelLopez	46.5	45	48.5	25.2
127		nielr1	46.4	39.7	47.1	33.6
128		bitterer	46.4	46.4	42.7	26.8
129		jcorsello	46.4	46.5	37.1	25.1
130		Zak_Kirchner	46.4	38.6	50.1	26.8
131		john_chilmark	46.4	48.5	41.5	25.6
132		visionmobile	46.3	46.4	42.9	36.3
133		btudor	46.3	39.5	51.2	32.8
134		znh	46	46.6	44.4	23.7
135		gilbane	45.9	48.7	39.7	28.6
136		gilbaneboston	45.9	48.5	44.5	31.2
137		mosterman	45.9	41.3	36.6	25.6
138		caostheory	45.8	43.3	0	37.8
139		oliviepaul	45.8	40.8	47.4	22.6
140		lisarowan	45.8	43.4	36.3	30.4
141		stevedupe	45.7	46.4	40.3	28.6
142		christineptran	45.6	42.9	44.3	26.1
143		YankeeGroup	45.6	48.3	28.7	33.4
144		gilliatt	45.6	48.8	49.8	23.5
145		gleganza	45.6	42.5	45.6	27.5
146		kasthomas	45.4	60.1	32.3	26.8
147		JeffreyBreen	45.4	43.4	45.5	25.4
148		paulhamerman	45.4	43.1	31	32.3
149		abnerg	45.4	45.1	49.1	27
150		Dale_Vile	45.3	42.9	52.6	22.7
151		apoorv	45.3	40.3	49.6	26.8
152		vgtero	45.3	42.7	37.1	28.2
153		megheuer	45.2	48.6	44.2	23.3
154		PhilippBohn	45.1	39.9	47.7	31
155		TonyByrne	45	47.2	41.5	26.8
156		CurrentAnalysis	45	44.5	7.3	28.7
157		shawnrog	44.9	44.3	37.9	22.8
158		cwood	44.8	38	46.4	23.5
159		OvumICT	44.8	41.6	39.9	34.6
160		IDC	44.6	56.6	5.5	32.9
161		storageswiss	44.6	44.2	38.1	30.8
162		hyounpark_AG	44.4	41.7	46.6	26.5
163		the451group	44.4	50.2	24.8	33.9
164		erainge	44.4	42.2	39.4	31.2
165		nyuhanna	44.2	52.2	9.9	24
166		pnjarich	44.2	36	45.9	27.5
167		omriduek	44.1	38.8	53.8	24.3
168		johnrrymer	44	47	41.1	23.3
169		neilwd	43.8	41.6	36.7	26.5
170		robinbloor	43.8	52.5	36.5	23
171		clivel_98	43.8	41.9	51.2	23.2
172		pjtec	43.6	39.9	37.8	26.9
173		adriaanbloem	43.5	39.5	51.1	23.4
174		janovum	43.5	39.3	52.9	24.5
175		cmooreforrester	43.5	46.1	36	25.3
176		ironick	43.5	38.5	52.4	21.9
177		ianfogg42	43.4	42.5	36.4	21.9
178		seuj	43.3	32	64.3	20.4
179		cmswatch	43.3	52.3	32.7	26.5
180		stevemann	43.3	46.7	49.9	21.9
181		itworks	43.2	40.8	44.2	22.9
182		kmcpartland	43.2	35.7	34.6	32.7
183		cmendler	43.1	43.8	49	23.4
184		ARC_Advisory	43.1	44.6	30.9	27.6
185		nselby	43.1	45	49.7	21.8
186		Teresacottam	42.9	38.2	48.6	29.9
187		cuttertweets	42.8	44.9	36.6	21.9
188		rreitsma	42.8	42.9	37.4	28.4
189		bryanyeager	42.7	36.7	36.9	26.3
190		dnm54	42.7	37.7	41.2	22.4
191		pfersht	42.6	44.4	39.6	26.2
192		lauriemccabe	42.6	40.7	42	23
193		paulfroberts	42.5	42.1	37	28.7
194		krestivo	42.4	44.9	46.5	21.3
195		Horses4Sources	42.3	41.8	35.2	33.6
196		802dotchris	42.3	42.5	46.2	21.8
197		jgptec	42.2	38.2	32.4	24.5
198		McGeeSmith	42.2	38.4	38.2	28.9
199		etravelproject	42.1	44.7	35.5	24.1
200		maslett	42.1	41.1	41.5	23.2
201		jeffmann	42.1	45.4	37.3	21.4
202		hkisker	42.1	38.8	29.7	31.6
203		glennodonnell	42.1	43	45.6	23.4
204		jalvear	42.1	39.3	48.4	20.2
205		Mark_Goldberg	42.1	38.8	37.6	25.8
206		EliseOlding	42	38.1	36.8	33.2
207		RayLucchesi	42	42.5	54.5	23
208		btemkin	42	46.9	29.5	30.1
209		gcolony	41.9	56.7	31	33.2
210		johnlovett	41.9	47.8	51.3	22.7
211		GigaOMPro	41.8	45.7	31.9	24.7
212		FreeformCentral	41.8	41.1	38	29.7
213		AjitJaokar	41.8	46.1	48.5	21.6
214		Neovise	41.7	38.6	38.2	25.2
215		adamhleach	41.7	38.6	50.3	20.3
216		IDCInsights	41.7	50	30.6	23.8
217		michaelwolf	41.6	41.1	41.9	22.7
218		SarahBurnett	41.6	45.2	45.2	21.3
219		bfinucane	41.4	46.6	51.7	21.4
220		TonyBaer	41.3	41.2	44.6	22.5
221		sliewehr	41.3	38.2	53	21
222		vtri	41.3	43.8	41.7	20.7
223		douglas_quinby	41.2	44.1	42.8	22.7
224		AlanWebber	41.2	46.8	37.2	21.7
225		NickLippis	41	42.9	29.6	21.1
226		smulpuru	40.8	45.9	28.4	24.7
227		shigginski	40.8	35.4	44.2	24.3
228		Gabeuk	40.7	40	43.4	20.7
229		abonde	40.7	37.6	37.5	29.1
230		iSuppli	40.7	46.1	5.5	26.1
231		EricaDriver	40.6	44.3	43.8	20.8
232		darranclem	40.6	39.7	40.7	19.9
233		KeithHumphreys	40.6	41.5	40.3	24.7
234		Thomas_Husson	40.6	44.8	36.6	24.6
235		jhurwitz	40.5	50	35	21.8
236		s_v_g	40.5	38.6	48.2	19.6
237		gwoodill	40.4	49.6	43.3	22
238		pattyinboothbay	40.1	44.8	35.2	20.3
239		atmanes	40.1	44.2	31.4	20.5
240		BurtonGroupIT	40.1	46.6	31.7	21.6
241		allenweiner	40.1	42.1	32.6	19.5
242		jimholincheck	40	44.4	31.3	21.9
243		sureshvittal	39.9	45.9	43.4	22.8
244		jmcquivey	39.9	45	42.6	22.8
245		Montejam	39.7	40.7	44.4	20.1
246		jamet123	39.7	44.7	31.1	20.5
247		timehhh	39.7	41.3	40.5	25.2
248		LinusGreg	39.7	44.9	34.6	20.8
249		GartnerTedF	39.6	37.6	33.9	32.5
250		philww	39.6	44.1	35.1	26.4
251		davidcard	39.4	44.6	39.2	21
252		joeltweet	39.4	53.7	42.4	21.5
253		tjkeitt	39.4	38.5	36	26.3
254		ventanaresearch	39.3	43.8	30.7	20.3
255		keith_rng	39.2	40.7	43.2	19.4
256		BobWarfield	39.2	42.4	41.1	20.4
257		CRozwell	39.1	42.7	33.2	25.1
258		mark_koenig	39	39.4	44.8	19
259		heidishey	38.9	37	44.8	21.4
260		avigreengart	38.9	36.1	30.8	22.7
261		jpmorgenthal	38.8	42.8	41.2	20.3
262		TomGrantForr	38.8	42.7	31	20.1
263		lauraramos	38.8	51.8	33.3	22.6
264		dschatsky	38.8	41.4	32.7	21
265		gilbanesf	38.7	46.5	38	20.4
266		rogermud	38.7	42.5	9.2	19.1
267		ABI_4G	38.6	38.2	5.9	26.9
268		StefanRied	38.6	43.7	31.9	20.4
269		SeanCor	38.6	48.1	45.9	21.5
270		alexkwiatkowski	38.4	37.1	42.3	22.4
271		joestanhope	38.4	40.2	40.6	21
272		erichknipp	38.4	38.5	41.7	19.6
273		punirajah	38.4	35.6	37.5	19
274		rwhiteley0	38.3	40.6	38.6	23.1
275		jjegher	38.3	40.5	43.2	22.9
276		rschmelzer	38.3	39.8	34.8	19.8
277		ravenzachary	38.3	42.9	32.3	19.6
278		imlazar	38.2	40.9	42.8	20.7
279		stessacohen	38.2	41.2	51.3	19.5
280		cee_m_bee	38.2	39.5	36.4	21
281		adamjura	38.2	36.3	46.2	19.6
282		bradholtz	38.2	40.9	34.3	19.6
283		Bersin	38.1	50.9	28.6	22.7
284		rayval	38.1	46.7	35.8	20.3
285		dmavrakis	38.1	36.6	42.3	20.6
286		pragkirk	38	43	41	19.9
287		MattRosoff	38	43	30.4	22.2
288		thinkovation	38	39.7	47.7	19.3
289		siriusdecisions	37.9	46.5	36.4	20.5
290		TheNakedChief	37.9	34.6	36.4	26.2
291		JeffPR	37.8	43.9	32.8	19.3
292		mbrandenburg	37.7	38.5	50.4	19.3
293		NormTravelTech	37.7	42.9	30.3	22.6
294		Jossgillet	37.6	33.5	43.2	18.1
295		brian_riggs	37.5	40.7	38.6	20.9
296		jesstsai	37.4	39.3	33.9	18.3
297		dxmitche	37.4	42.4	32.9	19.2
298		jeunice	37.3	38.7	36	20.2
299		bmirabito	37.2	47.9	33.6	20.1
300		Heuristocrat	37.2	40.1	27.8	18.2
301		smwat	37.2	34.5	38.6	21.7
302		martinatherton	37.1	37.9	42.5	18.3
303		ripcitylyman	37.1	37.8	28.3	22.8
304		sjschuchartCA	37	35.7	53.9	18.8
305		Celent_Research	36.9	43.2	30.3	22.9
306		ChristianKane	36.9	36.3	40.9	19
307		lauwhitehouse	36.9	39.7	40.2	28.5
308		Lciarlone	36.9	41	38.4	18.5
309		bobblakley	36.8	36.2	49.2	19.2
310		peter_w_ryan	36.8	30.1	41.8	23.2
311		bwalder	36.8	36.3	33.5	18.1
312		mikeferguson1	36.8	39.4	35.1	19
313		joltsik	36.7	40.2	27.9	28.3
314		ajbowles	36.6	38.7	38.2	20.4
315		NewsShark	36.6	43.9	8.4	20.6
316		waband	36.4	43.4	36.7	23.5
317		bsdunlap	36.4	38.2	33.8	18.3
318		BarryRabkin	36.3	41.1	42.7	18.5
319		REdwards	36.2	37.9	26.6	20.2
320		alyswoodward	36.2	37.9	48.2	18.4
321		msbrumfield	36.2	39.2	34.1	18.4
322		GaryatWikibon	36.1	39.3	38.4	18.1
323		ekmurphy	35.9	34.3	43.4	17.2
324		nealhannon	35.9	39.5	35.3	18.1
325		Burgess_Gary	35.8	34.9	38.8	19.4
326		mlees	35.8	38.9	38.8	18
327		Hitwise_AP	35.8	50.1	27.8	20.2
328		Gartnergreg	35.8	40.5	35.4	18.8
329		twehmeier	35.7	31.2	52.6	22.1
330		MobileAberdeen	35.7	40.1	36	18.8
331		Chris_Gaun	35.6	43.5	28.7	21.9
332		TKspeaks	35.6	52.9	32.8	21.7
333		Josh_Bersin	35.6	52.3	29.2	20.9
334		spendmatters	35.6	38.6	28.8	21.7
335		LockTD	35.6	37.9	33.4	18.1
336		DenisPombriant	35.6	43.2	30	19.6
337		aschmitt	35.6	36.6	32.6	17.9
338		pund_it	35.5	36.8	36	17.8
339		fjeronimo	35.4	38.9	27.6	20.1
340		theresaregli	35.3	42.5	37.5	18.9
341		minicooper	35.3	44.5	37.9	19.5
342		katehanaghan	35.3	37.6	47.6	17.8
343		dkusnetzky	35.3	40.6	39.9	18.7
344		scottn7	35.2	37.7	30.8	17.6
345		iangjacobs	35.2	40.8	33.8	18.5
346		Frost_Sullivan	35.2	43.1	5.5	19
347		esganalysttmac	35.1	41.8	44.2	18.7
348		Shawn_McCarthy	35.1	39.5	35.7	18
349		nickpatience	35.1	38.9	34.5	20
350		jaysonsaba	35.1	38.6	31.1	21.1
351		billtancer	35.1	39	42.5	21.6
352		jensbutler	35	35.4	34.7	18
353		ca_bshimmin	34.9	41.2	29.6	17.9
354		jim_techclarity	34.9	39.2	35.8	18.3
355		D_Hong	34.9	40.3	33.3	18.2
356		ABINextGen	34.8	31.2	35.2	20.1
357		MarkRaskino	34.8	40.6	29.8	18.6
358		cdhowe	34.8	34.6	29.7	17.9
359		jonathanbrowne	34.7	41.8	35.5	18.2
360		chinamartens451	34.7	34.8	25.8	16.9
361		srepps	34.7	40.4	36	22.7
362		jblin	34.7	36.8	26.2	17
363		JimSinur	34.7	37.5	24.6	31.1
364		mlevitt	34.7	40.1	25.6	17.5
365		weckerson	34.6	42.5	32.6	19
366		PHassey	34.4	34.5	32.7	17.2
367		nengelbert	34.4	40.2	30.8	17.7
368		dfrankland	34.4	43.6	36.8	18.9
369		JulieAsk	34.3	40.3	21.3	19.7
370		nora_freedman	34.3	39.9	46	17.8
371		DortchOnIT	34.2	39	32.3	18.3
372		VLI	34.2	33.6	39.3	17
373		Rick345	34.1	38.1	31.2	17.9
374		kreidy	34.1	40.3	43.1	20.2
375		PikeResearch	34.1	40.3	8.4	24.2
376		toppundit	34.1	40.3	28	18.1
377		Nemertes	33.9	39.4	8.4	18.7
378		ferrusi	33.8	36.9	35.1	17.3
379		vvittore	33.8	34.3	39	17.1
380		rob_bamforth	33.8	35.6	35	17.1
381		edwardsjonat	33.7	35.5	39.8	18.8
382		logisticsviewpt	33.7	40.9	32.6	20.3
383		AgingTech	33.7	44	25.6	20.6
384		mbkmbk	33.6	38.7	26.9	19.1
385		katiesmillie	33.6	37.6	32.4	16.9
386		benwoony	33.6	36.3	25.6	27.3
387		analystnick	33.5	40.3	32.7	17.8
388		infonetics	33.5	44.9	25.4	22.2
389		securityjeff	33.5	35.7	37.2	17.3
390		heyshiv	33.5	33	50.5	17.1
391		CXPOeilExpert	33.4	37.2	7	16.8
392		royillsley	33.4	39.2	29.5	17.4
393		ForresterJobs	33.4	49	32.8	19.5
394		bojan_simic	33.4	37.2	34.7	20.1
395		prashanthrai	33.3	33.8	29.2	16.2
396		lauradidio	33.3	36.7	23.3	17.5
397		chris_townsend_	33.2	40.4	44	18.3
398		stor2	33.2	39	30.5	17.1
399		billnagel	33.2	33.5	34.1	16.6
400		nigelwallis	33.1	33.3	34.3	16.1
401		cloudpundit	33.1	37.8	30.6	19.2
402		demartek	33.1	40.4	31.8	17.6
403		TECtweets	33	37.7	26.5	16.9
404		brucemr	33	33.5	29.6	16.3
405		npdgroup	33	49.4	4.4	20.4
406		jtsd	33	30.3	30.9	17
407		nickster2407	32.9	37.4	34.2	17.1
408		rnantel	32.9	38.4	7	17
409		jboye	32.9	39.7	30.7	19.9
410		Eval_Source	32.8	35.9	32.5	17.1
411		EquaTerra	32.8	40.9	6.6	20.7
412		passingnotes	32.8	37	36.7	16.5
413		KSterneckert	32.8	39.8	32.9	17
414		ema_research	32.7	43.5	7.3	17.9
415		suds	32.7	36.8	33	16.2
416		azornes	32.6	38.5	4.8	17.3
417		carldoty	32.6	38.1	30.3	17.1
418		jcapachin	32.6	38.3	30.4	17.2
419		howett	32.6	31.6	45.5	16.1
420		darrenbibby	32.6	38.6	25.2	17
421		AMR_Research	32.5	51.2	26	19.5
422		TGView	32.4	36.7	27.3	16.9
423		epopova	32.4	35.9	29.5	16.4
424		e2theb	32.4	29.4	36	16.6
425		Senformation	32.4	37.4	36.2	16.8
426		jarrodgingras	32.3	41.8	35.6	17.5
427		mtauschek	32.3	33.4	36.3	16.4
428		wif	32.3	35.6	29.3	24.2
429		fgilbane	32.3	39.9	35.7	17.4
430		matteastwood	32.2	37.4	26.3	17.4
431		euroLAN	32.1	37.2	31	16.3
432		stavvmc	32.1	31.9	37.4	16
433		Telesperience	32.1	36	27.6	17.1
434		ePubDr	32.1	33.7	27.5	16.4
435		Payment_Expert	32.1	46.4	27.6	18.2
436		mizkonary	32	35.6	31.4	18
437		EveGr	31.9	35.1	26.9	16.2
438		infotrends_mps	31.8	37.3	33	16.5
439		FillMurphy	31.8	34.2	24	19.4
440		IDCBrasil	31.6	41.3	2.9	19.6
441		Craw	31.6	40.4	30.1	19.4
442		gregbuzek	31.5	33.4	27.4	15.6
443		zkerravala	31.5	38.6	23.1	16.9
444		PaulBrown_SA	31.4	34.4	31.4	15.7
445		SA_Update	31.3	40.5	3.3	17.6
446		chenxiwang	31.3	31.1	28.9	21
447		pmcginnis	31.3	38.2	8.4	15.6
448		reastman	31.2	35.6	29.2	15.7
449		PJHines	31.2	39.6	27.4	16.8
450		diteb	31.2	38.6	37.6	16.4
451		tim_walters	31.2	39.1	30.6	18.5
452		mHingley	31.1	36.7	6.6	17.7
453		NPDFrazier	31	42	34.9	18.1
454		CompassIntel	31	38.2	25.2	16.4
455		jfrey80	31	38.8	26.4	18.7
456		Andrew_Boyd	30.9	42.2	34.1	16.9
457		RachelDines	30.9	39.4	34.6	18.7
458		EverestGroup	30.9	39.3	23.9	16.6
459		AndyBrownSA	30.8	30.5	38.2	15.1
460		tamarabarber	30.8	38.6	36.5	17.4
461		100Gigabit	30.8	41.6	26.7	16.7
462		InterpretLLC	30.8	30.1	29.3	19.6
463		mobilesimmo	30.8	35.5	26.8	16.1
464		markhrobinson	30.7	38.5	24.5	16.1
465		acfrank	30.6	37.9	26.3	15.8
466		Aberdeen_CMTG	30.6	46.6	27.6	17.8
467		mgrey	30.5	36.5	21.5	16.2
468		jctec	30.5	32.1	30.4	16.6
469		DaveMario	30.4	37.5	34.6	16.7
470		kevinnolanuk	30.4	39.4	27.5	17.8
471		carriejohnson	30.3	37.4	35.2	16.8
472		idccanada	30.3	43.4	8.4	16.9
473		rstormonth	30.1	32.7	25.3	17
474		leedoyleidc	30	37.6	19.5	19.5
475		jmp_katz	30	38.2	35.5	16.7
476		dlevitas	29.9	36.7	28.7	15.9
477		benwood	29.9	42.4	25.2	17.3
478		dconnor	29.8	38.6	33.4	16.4
479		hokun	29.8	36.1	37	16
480		drjimmys	29.7	33	7.7	14.3
481		Nathan_Safran	29.6	33.2	36.1	15.3
482		instantBP	29.6	35.1	27	15.3
483		markpmcdonald	29.6	38.1	4.8	16.3
484		daniel_krauss	29.5	30.9	25.4	15.2
485		paulzagaeski	29.4	23.8	33.9	20
486		mbarbagallo	29.4	36.5	28.3	18.8
487		TechMarketView	29.4	34.4	5.9	15.1
488		andreasantonop	29.3	37.5	40	15.9
489		melanieturek	29.3	36.4	33.1	16.1
490		bseitz	29.3	28.7	39	14.4
491		IDC_EMEA	29.2	31.3	54.4	17
492		stephatkins	29.2	32.1	27.2	16.1
493		markbowker	29.1	39.1	24.7	16.3
494		PeteCunningham	29.1	36.7	37.6	16.3
495		juniperresearch	29	38.6	24.2	16.4
496		dougwashburn	29	38.5	32	18.2
497		thickernell	29	34.9	24.3	15.5
498		MattyHatton	29	37.2	35.5	15.9
499		paulbudde	29	34.7	20.8	15.6
500		Kindervag	28.9	33.6	41.5	15.9
501		fgens	28.9	41.6	26.6	16.9
502		dreeves1	28.8	31.6	30.2	15.4
503		zmcgeary	28.8	38.7	46.7	15.7
504		jamystewart	28.7	40	27.2	16.4
505		Madtarquin	28.7	37.6	37.2	15.6
506		strothkamp	28.7	36.8	26.7	16.4
507		wjmalik	28.6	32.9	36.4	15.3
508		AnalysysMason	28.6	33.7	21.9	21.8
509		mgerush	28.6	37.6	28.3	17.4
510		jaranderson	28.6	29.3	35.6	16.6
511		poneillforr	28.5	30.8	24	16.5
512		mgilpin	28.5	38.1	31.1	16.4
513		G_ant	28.5	33.8	35.7	15.4
514		red_gillen	28.5	30.7	24.3	19.6
515		michaelgreene	28.5	37.9	28.9	16.3
516		lisabradner	28.5	41.3	27.2	16.4
517		NinaLytton	28.4	30.3	30.9	15.6
518		nsturgill	28.3	33.1	22.7	16.2
519		Lluis_Altes	28.3	32.3	5.9	14.3
520		dpotterton	28.2	34.1	5.1	16.4
521		KeithKTsang	28.2	34.5	34.6	14.9
522		ChrisOber	28.2	34.4	27.6	15.1
523		nikkibaird	28.1	36.1	23.4	15.6
524		JoshSMartin	28	27	28.7	13.4
525		brightfly	28	36.5	5.5	14.9
526		Canalys	28	38.2	5.1	15.5
527		annenielsen	28	35.8	26.4	14.6
528		srog	27.9	37.6	36.4	15.7
529		adriandrury	27.9	31.7	26.4	14.4
530		DarylPlummer	27.9	41.4	32	17.3
531		RogerKay	27.9	38.3	26.1	16
532		elizabethstark	27.9	35.1	30.6	15.3
533		CurlyGuyBry	27.9	30.7	36.1	15.5
534		richwatson	27.9	38.7	29.7	16
535		dtwing	27.9	34.5	30.3	14.9
536		lightplay	27.8	31.4	33.3	14.7
537		debswee	27.8	32.3	31.4	14.7
538		MKRasmussen	27.8	40.9	5.1	16.4
539		chrischute	27.8	32.3	26.6	14.6
540		msmvnj	27.8	36.4	26.8	15.4
541		algillen	27.8	36.1	28.9	15.7
542		ghalimi	27.8	36.3	0	15.9
543		Frost_Events	27.7	36.4	24.3	14.7
544		anshublog	27.7	32.7	33.2	14.6
545		naveenhegde1	27.7	30.4	23.1	13.9
546		jamiemlewis	27.6	37.6	33.4	15.7
547		galvar60	27.6	36	4.8	15.1
548		rkoplowitz	27.6	39.6	27.4	16.4
549		gcreese	27.6	37.7	19.3	16
550		rsilvalondon	27.5	30.7	2.9	15.8
551		TheTowerGroup	27.5	36.3	22.9	15.8
552		LFrankKenney	27.5	34.1	34.5	15
553		susankevorkian	27.4	35.1	22.7	14.4
554		instat	27.4	40.5	5.1	16.2
555		CushingAnderson	27.3	37.7	32.5	15.4
556		geoffblaber	27.3	37.8	34.2	15.8
557		MWDAdvisors	27.3	34.7	25.5	16.4
558		rwildeman	27.2	36.9	21.8	15.4
559		smcleish	27.2	37.5	27.4	15.7
560		kimknickle	27.2	32.7	26.6	14.4
561		DougWilliamsMHD	27.2	31.8	31.9	14.7
562		jgownder	27.2	34.3	27.6	15
563		jonathansteel	27.2	37.2	28.7	15.3
564		zapthink	27.2	32.2	17.7	15.1
565		ChristineChang	27.2	37.2	19.9	18.4
566		diane_clarkson	27.1	40.2	23.6	16.1
567		BenBajarin	27.1	26.9	27.5	13.2
568		P_Wannemacher	27.1	30.3	29.4	15.5
569		treerao	27	31.3	41.5	14.7
570		wfz	26.9	32	6.2	13.7
571		JonCrotty	26.9	32.7	8.4	13.5
572		Richard_Fouts	26.8	35.9	24	14.9
573		itstorage	26.8	37.5	32.2	15.4
574		pyramidresearch	26.8	39.6	5.9	15.7
575		TedSchadler	26.7	42.6	21.9	17.1
576		sebastiancoss	26.7	33.7	22.3	17.6
577		jimlmurph	26.7	40	23.1	15.7
578		IDCPortugal	26.7	27.8	21.6	13.7
579		davidmsmith	26.7	38.6	27	15.7
580		RichBohn	26.6	40.7	9.2	14.6
581		IDCLatin	26.6	36.9	5.5	15
582		HW_Support	26.5	33.1	25.8	14.7
583		bgassman	26.5	39.8	27.8	16.1
584		ITAnalysis	26.5	28.9	23.8	13.3
585		jbozman	26.5	34.4	5.5	14.5
586		domdupuis	26.5	28.1	26.8	13.4
587		emilynaglegreen	26.4	37.1	25.7	17.3
588		jonarber	26.4	27.2	38.5	13.5
589		CCSInsight	26.3	38.7	23.3	15.5
590		SaaSpro	26.2	37.8	22.3	15.4
591		IDEASCP	26.2	26.3	17.1	15
592		barryparr	26.2	38.7	27.1	15.5
593		DortchAtFocus	26.2	28.4	31.1	13.3
594		tombitt	26.1	40.6	33.5	16.4
595		ABIresearch	26.1	39.4	2.9	16
596		davecapp	26.1	34.1	24.3	14.5
597		wmcneill	26.1	36.5	22.9	14.6
598		JoeGalvin	26	36.7	24.1	14.9
599		jenbelissent	26	37.5	26.4	15.3
600		versace57	26	28.9	30.2	13.3
601		wkernochan	26	28.6	50.1	13.9
602		tcorbo	26	35.7	24.7	14.6
603		creativestrat	26	29.9	16.5	15.5
604		scottsantucci	26	36.4	22.5	14.9
605		tarzey	26	34.9	41.7	14.5
606		jeffheynen	25.9	35.1	26.9	14.6
607		cborovick	25.9	36.6	23.4	14.7
608		adelesage	25.8	35.8	26.6	15.1
609		Informatm	25.8	35.7	19.2	15.1
610		MWardley	25.7	33.3	24.1	14.4
611		ericdomage	25.7	30.2	23.7	13.8
612		angie_p	25.7	33.2	31.8	14.1
613		paula_rosenblum	25.7	33.4	40.9	14.5
614		whita	25.7	34.6	33.9	14.6
615		ABI_MobileNW	25.7	33	21.4	14.6
616		bpmfocus	25.7	38.4	23.8	15.6
617		vernonxt	25.5	35.9	18.8	14.8
618		mdecastro	25.4	34.7	25.2	14.2
619		jeffkagan	25.4	41.2	26.6	14.7
620		LizBoehm	25.4	32.3	25.8	14.3
621		aaronmcpherson	25.4	34.4	26.9	14.3
622		danbarlev	25.3	29.1	27.5	12.7
623		TheEbizWizard	25.3	33.9	28.5	14.1
624		gphifer	25.3	38.7	4.8	14.9
625		tracresearch	25.3	33.1	28.2	13.7
626		gcoimbra	25.2	29.7	27.3	13.1
627		lcannell	25.2	32.7	27.9	13.8
628		christinaylee	25.2	31	35.5	13.6
629		SW_Support	25.2	32.3	25.6	13.8
630		duncanwjones	25.2	28.5	27.6	15.1
631		pete_lacey	25.2	29	25.9	13
632		AiteGroup	25.2	35.9	27.2	14.7
633		acschmidt	25.2	32	24.1	13.7
634		SaaSEurope	25.1	34.3	24.6	14.5
635		marylaplante	25.1	31.6	4.4	14.1
636		jamesbrehm	25.1	34.6	20.9	14.1
637		tobybell	25.1	36.6	45.5	14.7
638		dianemyers	25.1	34.4	24.1	14.1
639		NancyJami	25	32.8	23.9	13.5
640		clayryder	25	25.5	18.4	12.4
641		miravperry	25	34.5	28.1	14
642		Aberdeen_HCM	24.9	40.1	21	15.2
643		WiseGreyOwl	24.9	34.2	28.1	14.3
644		shauncollins	24.9	35.7	22.3	14
645		tjennings	24.8	36.2	33.5	14.6
646		karenmassey	24.8	35	28.3	14.2
647		DouglasHayward	24.8	31.4	21.3	13.2
648		bswtelecom	24.8	35.8	21.1	14.3
649		RJWitty4Gartner	24.8	34	22.3	14.2
650		DavidJWest	24.7	37.3	5.1	14.6
651		Bajarin	24.7	34.9	3.7	14.3
652		pallega	24.7	30.5	28.5	13.8
653		coverby	24.6	34.4	32.6	14.3
654		sbalaouras	24.6	40.2	21.5	15.4
655		prussom	24.5	35.6	21.4	14.9
656		Tiffani_Bova	24.5	36.5	21	14.6
657		alexcullen	24.5	38.4	19.5	15.3
658		ShivBakhshi	24.5	36.3	2.6	14.5
659		josiesephton	24.4	32.4	25.9	13.4
660		skingstone	24.4	35.1	29.1	14.6
661		DaveBoulanger	24.4	40.5	28	14.2
662		cchristiansen	24.3	35.6	5.9	13.8
663		rdkugelvr	24.3	31.4	22.6	13.1
664		tonyiams	24.3	32.7	22.7	13.5
665		ltabb	24.3	37	15.9	14.9
666		marksdriver	24.3	35.3	3.7	14
667		emmaking_escp	24.3	34.4	31.9	13.8
668		melindaballou	24.3	31.1	23.1	13.4
669		DanVesset	24.2	33.5	22.7	14
670		simonrob451	24.2	31.5	27.2	13.6
671		MaryJTurner	24.2	33.8	23.9	13.8
672		rambadri	24.1	29	32.7	13
673		tim_shepherd	24.1	37.2	16.3	14.4
674		fjhr	24.1	34.1	3.7	13.8
675		bobbymuhlhausen	24.1	32.3	29	13.3
676		EinatShimoni	24.1	32.8	26.5	13.3
677		julie_craig	24	31.6	18.5	13.8
678		cjones1405	24	35.1	18	14
679		VicGart	24	32.7	21.7	13.6
680		bolarotibi	23.9	30.8	27.4	12.9
681		komarah	23.9	38.5	19	14.7
682		danolds	23.9	30.3	18.5	12.9
683		LaurenEcks	23.9	29.8	24.9	12.5
684		ChrisFletcher	23.9	36.5	21.2	14.1
685		BLheureux	23.9	30.4	27.6	14.8
686		wzhou	23.8	31.2	23.5	12.9
687		DellOroGroup	23.8	42	19.4	15.8
688		iTGuru	23.8	36.7	2.9	16.2
689		dlogiudice	23.8	30.7	22.2	12.9
690		TPI_News	23.8	36.2	22.6	14.3
691		StephenB_TG	23.7	30.2	22.6	13.1
692		SimonYates	23.7	36.4	25.3	14.6
693		PierManenti	23.7	29.8	23.5	12.6
694		pdebeasi	23.7	36.2	19	14.1
695		drchrisholmes	23.6	25.1	18.8	13.6
696		Bloor_Research	23.6	34.1	0	14.3
697		atwalls	23.6	26.6	25.3	12
698		DavidMercer_SA	23.5	31.4	19	13.1
699		MiriamKutcher	23.5	34.6	26.2	13.7
700		JackieFenn	23.4	37.9	2.9	14.5
701		Stuart_Robinson	23.4	28.8	21.6	13.9
702		hwdewing	23.4	30.5	22.1	13
703		DaveEckert	23.4	34.6	24.5	13.8
704		IDCconferences	23.4	29.4	18.9	12.7
705		Quocirca	23.3	33.3	20.7	13.8
706		lesliehand	23.3	32	22.7	13.2
707		Experton	23.3	33.8	6.6	13.1
708		lizherbert	23.3	39.9	17.4	15.1
709		jackzimmerman	23.2	32.7	19.1	13
710		Whiterope	23.2	28.9	18.1	12.4
711		monkchipsconf	23.2	29.1	24.9	12.5
712		ramonkrikken	23.2	25.9	38.2	12.4
713		dfloyer	23.1	31.5	4	12.9
714		KimballBrown	23.1	32.6	31	12.9
715		s2_williams	23	27.2	19.1	11.8
716		chrismines	23	34.6	39.5	14.1
717		zStorageAnalyst	23	30.2	31.2	13.3
718		illuminata_inc	23	33.7	23.3	14.2
719		Display_Market	23	29.6	21.3	12.6
720		tpohlmann	22.9	33.6	27.3	13.6
721		Staggmacey	22.9	34.2	20.4	13.6
722		dsholler	22.9	21.2	19.1	10.8
723		chrisandrews50	22.9	29.6	28.2	13.2
724		SeanPODowd	22.9	32.3	21.4	13
725		Joshkrischer	22.9	29.6	28.2	12.6
726		m2mcguire	22.7	36	16.6	13.7
727		gerrybrown	22.7	35	15.1	13.5
728		RadicatiGroup	22.7	29.3	25	13
729		140letters1idea	22.6	28.4	23.6	11.9
730		gdschreck	22.5	37.5	42.4	14.8
731		Candefero	22.5	31.9	16.4	12.2
732		OvumButlerBI	22.5	36	2.2	14
733		wstofega	22.4	33.3	4	13
734		tomaustin	22.4	34.1	24.4	13.6
735		jneeson	22.4	33.9	7	12.4
736		IDCevents	22.3	35.3	30.4	13.7
737		allymotz	22.3	30.3	5.5	12.1
738		Nimblepm	22.3	27.2	4	11.9
739		nariv	22.3	28.5	18.7	12
740		fab_biscotti	22.2	39.2	26.5	14.9
741		BradleyAnthonyJ	22.1	36.3	2.6	13.9
742		tolvet	22.1	29.3	18.8	12.1
743		informatm_pr	22	27.6	23.4	11.6
744		dkerrsa	22	28.8	20.6	12.3
745		ElainebColeman	22	27.1	20.6	11.3
746		408wij	21.9	26.1	19.9	11.1
747		RobertEParker	21.9	30.3	18.9	12.2
748		DHSchoolar	21.9	22.7	27.3	10.7
749		robhelm	21.9	34.1	18.1	13
750		BI_Hatch	21.9	32.8	20.2	12.6
751		habeel	21.9	26.6	28.9	11.2
752		mark_diodati	21.8	31.5	4.4	12.9
753		SeanRyanAnalyst	21.8	29.9	5.5	11.9
754		danagould	21.8	33.5	26.9	13
755		ynatis	21.7	34.8	21.6	13.7
756		vbaker	21.7	35.4	4	13.3
757		meredithwhalen	21.7	32.7	5.5	17.3
758		PNARICH	21.7	30.4	20.9	12.3
759		jones_rd	21.7	25.9	19	11.9
760		Jezzagreen	21.6	30	4	12.1
761		SEB4IDC	21.6	31	20.9	12.7
762		c_egge	21.6	28.5	29.4	12
763		pinicohen	21.6	29.1	17.6	12.1
764		ChrisLRichmond	21.5	23.5	27.9	12.2
765		fpignatti	21.4	27.1	20.7	11.3
766		jscaramella	21.3	32.1	19.8	12.9
767		smbresearch	21.3	25.2	20.2	10.7
768		the_big_pic	21.3	33.6	20.1	12.9
769		amywohl	21.3	35.7	15.1	13.4
770		peterostrow	21.3	39.4	19.8	14.2
771		iriches	21.3	27.4	21.9	11.4
772		benpiper_sa	21.2	25	20.6	10.8
773		dharringto	21.1	30.4	4.4	11.9
774		rodnelsestuen	21	28.2	20.3	11.7
775		richardwinter	21	34.3	8.4	12.1
776		ABI_Devices	20.9	33.3	4	13
777		ABI_MobConsumer	20.9	29.3	20.2	12
778		Steve_Cramoysan	20.9	31.1	33	12.6
779		richvancil	20.8	29.9	17.7	12
780		logicalleap	20.8	28.1	28.2	12.2
781		jarekknapik	20.8	27	19.1	11.1
782		ABI_MobileMoney	20.8	27.7	18.7	11.7
783		vokeinc	20.7	28.1	5.5	11.3
784		orrtechnology	20.7	26	0	11.4
785		georgetubin	20.7	26.2	19.8	10.9
786		AlexandraKim	20.7	37.2	5.5	13
787		richardawebb	20.6	29.5	16.2	13.4
788		DennisGaughan	20.6	35.1	19.6	13
789		plburris	20.5	38.5	11.5	14.2
790		TekStrategist	20.5	30.3	15.1	11.8
791		chrisvoce	20.5	34.5	22.9	13.2
792		sgrant1974	20.4	29.6	18	11.6
793		mcnabb_kyle	20.4	35.1	29.7	13.6
794		alaasaayed	20.3	27.9	18.1	10.6
795		peterschay	20.3	27.1	20.1	11
796		maureencfleming	20.2	31.2	54.3	13
797		DaveReinsel	20.2	34.5	18.5	12.7
798		KenPresti	20.2	31.5	21.9	12
799		CXP	20.2	32.2	6.6	11.7
800		galitfein	20.1	28.6	2.9	11.3
801		SamDriver	19.9	31.4	19.9	12.3
802		RCMcDowall	19.9	23.1	12	10.3
803		andrew_dun	19.9	29.8	18.1	11.6
804		AlexPForrester	19.9	28.1	21.8	11.3
805		steve_pr	19.8	34.2	3.7	12.5
806		scottpezza	19.8	30.4	23.5	11.8
807		ian_wesley	19.7	24.4	59.6	11.4
808		Chris451mobile	19.7	30.9	23.5	12
809		AnalyzeIT_	19.6	27.7	21.6	11.1
810		mbcxp	19.6	29.6	19.5	12
811		LSileo	19.6	29.9	23.3	11.5
812		richpartridge	19.5	28.6	19.3	11.4
813		ABI_LBS	19.5	25	17.3	10.4
814		fhalper	19.5	34.2	5.5	12.2
815		susanealdrich	19.5	26.3	31.2	11
816		IDCAP	19.4	34.6	16.7	13
817		CSLeClair	19.2	29.3	3.7	11.4
818		Cliff_Condon	19.2	25.5	57.6	11.9
819		InventoryTrack	19.2	29.2	15.1	11.3
820		ForresterTel	19.1	25.1	25.4	10.4
821		KHarrisFerrante	19.1	28.1	15.7	11.2
822		ekirchheimer	19.1	34	62.7	13.4
823		bholmes3	18.9	33.6	18.1	12.7
824		Bala_Ganesh	18.9	34.3	21.1	12.5
825		ddaoud	18.8	31.6	4.8	11.5
826		jonathangaw	18.8	30.7	20.8	11.6
827		dangeiger	18.8	27.7	17.5	10.6
828		Dansommer	18.8	31.3	40.3	12.3
829		abicarlaw	18.7	37	2.9	12.9
830		jnoelatpna	18.6	29	14.9	11.5
831		robertmcneill	18.6	28.5	16	10.6
832		delotto4gartner	18.6	30.7	14.2	12
833		brian__burke	18.5	32.8	19.7	12.2
834		hchaight	18.4	37.4	13.7	13.7
835		timcoulling	18.4	34.6	12.6	12.3
836		rwa_ca	18.4	34.7	4	12
837		jw_harris	18.4	24	18.7	10
838		ABI_DigitalHome	18.3	30.4	19.8	11.8
839		btulsiani	18.3	33.4	14.3	12
840		Schoolcw	18.3	27.7	3.3	10.7
841		ABI_M2M	18.3	29.3	14.9	11.4
842		nbelanger	18.3	32.9	22.3	11.7
843		AlastairE	18.2	34	16.5	11.9
844		dmolony	18.1	22.7	16.7	9.8
845		PhoneResearchMK	18.1	24.3	20.6	9.8
846		richardmahony	18.1	27.3	20.7	10.8
847		PamelaCDInforma	18	27	18.8	10.6
848		itinsurancegeek	18	26.6	17.6	10.9
849		bburke25	17.9	28.3	21.1	10.7
850		jonpaisner	17.9	29.2	19.1	10.9
851		susanfeldman	17.9	35.3	13.7	12.6
852		kathywilhide	17.9	34.7	16.3	12
853		rstrohmenger	17.8	24.2	26.4	10.4
854		dcearley	17.8	33.9	4	11.8
855		NERSKINE	17.8	33.4	21.6	11.9
856		paolopescatore	17.7	35.8	17.5	12.6
857		susananalyst	17.7	26.1	6.6	9.8
858		BeanBoston	17.7	37.1	5.5	12
859		mjball	17.6	34.3	4.4	11.6
860		tfoydel	17.6	23.9	15.8	10
861		HenryCorp	17.6	14.2	40.7	7.7
862		wrishel	17.6	35.1	18.3	12.3
863		ForresterEvents	17.6	24.5	25.8	9.9
864		frankgillett	17.5	24.8	27.6	9.9
865		ehigdon	17.5	33.3	23.9	12.2
866		judytsweeney	17.5	24	12.2	9.5
867		emilyvanmetre	17.5	32.5	17.6	11.4
868		janetwaxman	17.5	32.2	44.1	12.1
869		Jim_Burton	17.4	27.9	24	10.8
870		cschreinerNY	17.4	23.2	17.4	9.5
871		rh_forrester	17.4	29.2	19.2	11.5
872		Jeff_Orr	17.3	24.4	3.7	9.5
873		Brazingo	17.3	33.8	5.1	11.6
874		jcstrategyanaly	17.2	22.3	4.4	9
875		keithdawson	17.2	26.3	21.5	10.1
876		Roopamjain	17.1	31.1	17	11
877		zthomas	17.1	34.7	5.5	11.4
878		BobOffutt	17.1	26.2	29.2	10.8
879		gilescottle	17	22.1	29	9.6
880		tdegennaro	16.9	27.7	3.3	10
881		venecialiu	16.8	32.7	4.4	11.2
882		ToleHart	16.6	35.6	1.1	12.2
883		ABI_CleanTel	16.5	24.1	15.9	9.9
884		MesabiGroup	16.5	27.4	13	10.5
885		SGalvino	16.4	28.7	27.8	10.5
886		NicoleDufft	16.4	33.5	12.2	11.4
887		lafleche	16.3	31	14.7	11
888		NadineManjaro	16.2	34.8	3.7	11.5
889		hmorrisidc	16.2	32.3	12.5	11.8
890		joshuaholbrook	16.1	24	3.7	9.3
891		ajglawrie	16.1	31.5	10	11.7
892		emilyriley62	16.1	26	23.5	10.1
893		rcontu	16	32.5	3.7	11.2
894		cnxcnx	15.9	30.4	15.3	10.6
895		Monikino	15.8	21.5	2.9	8.5
896		ivanoortis	15.7	24.9	15.4	9.8
897		AndyGLawrence	15.7	27.5	2.9	9.8
898		b_worthington	15.6	26.7	2.9	9.4
899		kquadri	15.5	23.2	5.1	8.5
900		s_hendrick	15.4	26.4	3.3	9.7
901		hellojackson	15.3	22.2	17.6	8.3
902		MobileAnn	15.1	32.1	2.6	10.9
903		c_green_	15.1	21.3	20	8.5
904		LiamMcGlynn	15.1	31.1	2.2	10
905		SWdeG	15.1	25	3.7	9.2
906		k1fwe	15	29.7	2.2	10.2
907		peteroconnor	15	23.9	61.6	9.9
908		billmcnee	15	31.1	16.2	11.1
909		wintergreen40	15	20	3.3	7.9
910		maryknox	14.9	34.2	3.7	11.1
911		vbough	14.8	24.6	3.7	9
912		ellenmcarney	14.8	35.7	3.3	11.6
913		twerner1952	14.8	37.3	17.3	11.9
914		neilstrother	14.7	24.7	21	9.5
915		CXPcmdv	14.7	19.9	3.3	8
916		hmanning	14.6	34.7	0	11.8
917		dariotalmesio	14.6	22.2	5.1	8
918		jpops123	14.5	30.2	12.3	9.9
919		SteveHodgkinson	14.4	27.2	12.9	9.8
920		ndrakos	14.3	33.4	0	11.5
921		bill_doyle	14.3	34.3	3.7	11
922		altimetergroup	14.2	32.9	21	11.7
923		IDC_Cloud	14.1	34.3	12.1	11.8
924		dwaldt	14.1	28.7	2.9	9.7
925		bguptill	13.9	23.1	19.6	8.9
926		mbailey316	13.9	30.8	3.7	10.1
927		FranNL	13.6	24.3	15.8	8.5
928		ianbirks	13.6	20.4	2.9	9
929		sunsuvradeep	13.5	15.2	60.4	7.8
930		sradicati	13.5	24.8	18	9.4
931		sfeinberg132	13.4	23.2	17.4	8.5
932		CarrollRheem	13.4	25.1	27.7	9.4
933		ABI_BUSMOBILITY	13.3	26.4	15.9	9.4
934		angelabeckers	13.1	24.5	2.2	8.9
935		CarlClaunch	13.1	23.5	18	9.4
936		drthomasmendel	13	29.5	11.6	9.8
937		varunsedov	12.9	16.2	21.6	6.7
938		ClabbyAnalytics	12.9	22.3	11.7	7.7
939		ellendaley	12.8	30.7	16.6	10.1
940		philkendall	12.8	10.7	16.7	5.2
941		cynick	12.7	21.4	1.1	8.2
942		anogee	12.6	29	20.1	10.2
943		securitynigel	12.6	19	19	7.3
944		JustinSearles	12.6	27.8	15.7	8.8
945		clausbmortensen	11.8	22	14.1	7.9
946		ericbrown_forr	11.7	24.2	16.6	8.6
947		Marc6Sargent	11.5	33.9	2.9	10.1
948		gartner_aadi	11.4	23.7	0.4	8
949		LCD_Market	11.4	30.5	2.2	9.4
950		jmorency1952	11.4	29.7	0.7	9.6
951		sudin_apte	11.3	23.3	10.3	8.1
952		martingarner	11.2	31.8	5.1	8.8
953		martinreynolds	11.1	31.2	1.5	9.6
954		GartnerBI_CRO	10.9	29.2	2.9	9
955		kfbrant	10.8	20.7	21.1	7.7
956		steve_brazier	10.7	32.9	2.9	9.5
957		lnurzynski	10.6	21.6	19.3	6.7
958		dszubert	10.6	31.5	3.3	8.8
959		smingay	10.5	31.4	2.2	9.5
960		susanmcneice	10.3	23.1	2.2	7.7
961		gdeb40	10.3	30.2	0.4	9
962		davidwang	10.2	17.1	10.4	6.3
963		Lussanet	10.1	30.8	2.2	9.2
964		cmilanesi	10	31.3	0	9.8
965		ChrisGood	9.9	31.1	2.9	8.4
966		rglaz	9.8	23.1	3.7	7.4
967		rsallam	9.6	30	2.2	8.7
968		Pfirstbrook	9.6	29.5	2.6	8.5
969		kilucas	9.6	30.8	0.7	9.4
970		jake1306	9.5	22.3	4.8	6.7
971		ovum	9.5	33.1	0	9.8
972		evaausalo	9.4	19.3	20.7	7
973		JohnKatsaros	9.3	28.1	2.9	8.1
974		cdgerm86	9.3	28.5	0.7	8.7
975		EricSiegel	9.1	33	0	9.5
976		baldydubois	9.1	22.9	1.5	7.4
977		IDC_Compliance	9	27.6	0.4	8.5
978		lauramclellan	9	29.7	0.7	8.9
979		cbyrnes	9	30.4	0.4	9
980		MadihaAshour	8.9	20.7	4.8	6.1
981		ritaeknox	8.7	13.8	0.7	5.4
982		rebeccawetteman	8.6	25.9	0.4	7.8
983		longhaus	8.4	19.1	19.5	6.6
984		CuSe93	8.2	13.5	10.8	4.5
985		SimEllis	8.2	19.9	3.7	6.2
986		selinnachin	8.1	16.9	2.9	5.3
987		wpurvis	8.1	20.1	4.8	5.7
988		ABIBurden	7.9	22.1	2.2	6.8
989		marknemec	7.7	27.3	0.4	7.9
990		mcantara	7.7	20.3	4	5.8
991		Eddie_Radcliffe	7.7	18.7	4	5.3
992		IMEXresearch	7.6	24.1	2.2	6.7
993		DrBrianLambert	7.6	13.1	15.2	4.7
994		Texas54	7.4	17.4	1.5	5.4
995		bergeay	7.1	23.6	2.2	6.4
996		janeclabby	6.9	17.2	2.9	5.3
997		ErrolRasit	6.6	22.2	0	6.7
998		KenVollmer	6.4	21.1	0	6.2
999		mktleader	6.3	16.4	3.7	4.5
1000		MelanieAPosey	6.1	19.1	3	5.6

Algorithm and Methodology

Following – Twitter lists the number of people each user follows. The tendency for most celebrities is to only follow a few individuals. The more people that someone follows, there is an increased likelihood of them actively participating in conversations with the community instead of simply broadcasting to it. Following ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 30) that was used as part of the algorithm. Note: Twitter opened its API to TweetLevel so that data could be sourced easily and quickly to benefit the user.

Followers – Twitter lists the number of people that follow each user. Like subscribing to a feed, this is a clear indication of ‘popularity’ as it requires someone to actively request participation. Even though TweetLevel has a ranking of people based upon popularity, it is influence, engagement and trust that is more important. Due to the nature of logarithmic ranges, a change in the number of people that follow someone, such as from 500 – 1000, will give a far higher change in score than a move from 180K – 200K. Following ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 30) that was used as part of the algorithm. Note: Twitter opened its API to TweetLevel so that data could be sourced easily and quickly to benefit the user.

Since the initial creation of TweetLevel, we have now been able to incorporate Twitter Lists into this part of the algorithm. Someone’s follower score will increase depending upon the number of times a user is included in a list, the number of people who follow that list and the authority of those people.

Updates – How often does someone update what they are doing. This number is purely objective as it scores someone highly no matter what the content of their post (i.e. how relevant is it). Nevertheless it is assumed that if someone posts frequently but has poor content then their ‘followers’ will decrease. Update ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 30) that was used as part of the algorithm. Name Pointing – e.g. @name – How many people engage in conversation with a celebrity or point to their name. The clearest way to establish this is to run a search on the number of people who reference @username in a message. This calculation is based upon a one month period combined with a 24 hour period. The number of times this happens is calculated with each range was assigned a number (0 to 30) – again this was then used as part of the algorithm.

Retweets – Has a tweet caused sufficient interest that it is worth re-submitting by others? Despite a great deal of ‘noise’ (i.e. posts that are not relevant or interesting), when someone sees something that is of high interest, their post can be re-tweeted. The clearest way to establish this is to run a search on the number of people who reference RT @username in a message. This calculation is based upon a one month period combined with a 24 hour period. The number of times this happens is calculated with each range was assigned a number (0 to 50) – again this was then used as part of the algorithm.

Twitalyzer – “This is a unique (and online) tool to evaluate the activity of any Twitter user and report on relative influence, signal-to-noise ratio, generosity, velocity, clout, and other useful measures of success in social media.” This 3rd party tool is a useful method to combine automated metrics dependent upon criteria within posts and publicly available numbers. Where tools such as this are available, we incorporate them into the algorithm to achieve a more confident score. Twitalyzer gives users scores from 0 to 100. Ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.

Twitalyzer noise to signal ratio – Signal-to-noise ratio is a measure of the tendency for people to pass information, as opposed to anecdote. Signal can be references to other people (defined by the use of “@” followed by text), links to URLs you can visit (defined by the use of “http://” followed by text), hashtags you can explore and participate with (defined by the use of “#” followed by text), retweets of other people, passing along information (defined by the use of “rt”, “r/t/”, “retweet” or “via”). If you take the sum of these four elements and divide that by the number of updates published, you get the “signal to noise” ratio. Twitalyzer gives users scores from 0 to 100. Ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.

Twinfluence Rank – Twinfluence is an automated 3rd party tool that uses APIs to measure influence. For example: “Imagine Twitterer1, who has 10,000 followers – most of which are bots and inactives with no followers of their own. Now imagine Twitterer2, who only has 10 followers – but each of them has 5,000 followers. Who has the most real “influence?” Twitterer2, of course.” As with Twitalyzer, this index uses 3rd party tools to add greater confidence in the overall Twitter score. Similar to the other criteria, ranges were determined (i.e. less than 20, less than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.

Twitter Grader – Twitter Grader is the final automated tool to add greater confidence to the final index. This site creates a score by evaluating a twitter profile. Similar to the other criteria, ranges were determined (i.e. less than 20, less than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.

 Involvement Index – The Involvement Index is unique Edelman IP that calculates a score based upon how an individual engages with their community. It is calculated by analysing the content of an individual posts. People who score highest in this category have frequent, relevant, high-quality content that actively involved the twitter community (asking questions, posting links or commenting on discussions) and did not purely consist of broadcasting. Ranges were determined (i.e. less than 20, less than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.

Velocity Index – As more people engage on Twitter, it may become harder to keep activity going. The velocity index measures changes on a regular basis and assigns a score based on increased or decreased participation. Ranges were determined (i.e. less than 20, less than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.

Weighting – Each specific variable listed above was given a standard score out of 10. Using a weighting scale I varied the importance of the each metric to establish an individual’s total score.

Weighted for Popularity – the key variable is the number of people someone has following them. There are many online tools that show this such as Twitterholic.

Weighted for Engagement – the key variables are an individual’s participation with the Twitter community (as measured by the Involvement Index), with additional emphasis on the frequency of people name pointing an individual (via @username), the numbers of followers and the signal to noise ratio. Other attributes were included in the final score but were given a lower weighting.

Weighted for Influence – the key variables in this instance is a combination of the number and authority of someone’s followers together with the frequency of people name pointing an individual (via @username) and the how many times and individuals posts are re-tweeted. Other attributes were included in the final score but were given a lower weighting.

Weighted for trust – the best measure of trust is whether an in individual is will to ‘trust’ what someone else has said sufficiently that they are also prepared to have what they tweeted associated with them. The key metric in this instance are a combination of retweets and number of followers. Other attributes were included in the final score but were given a lower weighting. In the true spirit of ‘open sourcing’ this work, I welcome your comments, views and criticisms in how this approach can be as accurate as possible. Whereas I don’t believe for one moment that TweetLevel has found the holy grail of social media measurement, I think it is a good step forward and look forward to discussing this with you.

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