JCPR Twitter Index
It’s no surprise that Twitter has reached its tipping point when the number of techies and marketing-folk are easily outnumbered by celebrities using the platform. No longer do I have to start a conversation explaining what Twitter is, suffice to say – everyone knows.
It’s common knowledge that the UK’s own laureate Stephen Fry is a great advocate of this medium but who would have realised that Philip Schofield was more influential than Downing Street.
When I published the Social Media Index with David Brain that attempted to rank an individual’s presence across all platforms, we received a huge amount of feedback. A great deal of this focused on the fact that what we were listing was popularity and not what is more important which is influence or engagement. The resulting white paper on distributed influence tried to remedy this by analysing measurement in far greater detail.
Understanding that this is also going to ‘ruffle a few feathers’, I have been helping my colleagues at our consumer arm, JCPR, to apply the principles of SMI to the world of Twitter. The JCPR Twitter Index has been created to list individuals based upon their influence (and not like other tables, their popularity).
Influence can be measured on Twitter using the following formula:
(A full explanation of this is shown in the methodology at the bottom of this post).
What I find truly interesting is how an individual’s ranking is completely changed dependent upon whether we are looking at popularity or influence.
For example: Al Gore is rated as the 23rd in the world based upon the number of followers he has. Honestly though, how influential is he? For a man who has only tweeted 29 times (and not within the past 6 months) – I would say…not at all.
If I was to spend my money trying to get a person to endorse a company I would instead focus on the person who was far more engaged and who other people found interesting. Jonathan Ross in this case would be a great example.
I have listed three tables below, the first of these is the list of top twitters weighted by popularity, the second is by influence and the third by engagement. The full list of top 200 (celebrity) twitters are located at the bottom of this post and on the JCPR site.
Top 20 Twitters Weighted by Popularity, Influence and Engagement
| Rank | Weighted by Popularity | Weighted by Influence | Weighted by Engagement | ||
| 1 | Ashton Kutcher | Jonathan Ross | Jonathan Ross | ||
| 2 | CNN | Perez Hilton | Jason Bradbury | ||
| 3 | Britney Spears | Stephen Fry | Alan Davies | ||
| 4 | Ellen DeGeneres | Ashton Kutcher | Perez Hilton | ||
| 5 | Graham Linehan | Adam woodyatt | |||
| 6 | Barack Obama | Demi Moore | Rick Sanchez | ||
| 7 | Brian Dooley | CNN | Philip Schofield | ||
| 8 | Jimmy Fallon | Lance Armstrong | Dave Gorman | ||
| 9 | Shaquille O’Neill | New York Times | Yoko Ono | ||
| 10 | John Mayer | Will Wheaton | Neil Gaiman | ||
| 11 | New York Times | Shaquille O’Neill | Demi Moore | ||
| 12 | Lance Armstrong | Downing Street | Danny Wallace | ||
| 13 | Henry Dartnall | Jason Bradbury | Graham Linehan | ||
| 14 | Demi Moore | Philip Schofield | Jenni Falconer | ||
| 15 | Lizo Mzimba | Soulja Boy | Karl Rove | ||
| 16 | Perez Hilton | Jimmy Fallon | Andi Peters | ||
| 17 | Dan Tetsell | Barack Obama | Britney Spears | ||
| 18 | P Diddy | John Mayer | Stephen Fry | ||
| 19 | Coldplay | Michael Arrington | Dave Matthews | ||
| 20 | Ryan Seacrest | Ryan Seacrest | Coldplay |
Even though this is a bit of fun, there is a serious side behind it. We are always trying to help our clients understand the influence that certain people have over particular sections of society. Behind all the glitz and glamour that goes with fame, it’s important to understand where real influence lies, which is often very different to mere popularity. The JCPR Twitter Index helps us define that within the hugely dynamic social media space.
Of course, this index has initially been used to score celebs but its methodology can easily be used to look at other segments (from analysts, musicians, politician and brands). I hope to be publishing the analyst version of this very soon.
As a final point, I know that when discussing this people tend to be far more interested in ‘influence’ rather than engagement. My view was nicely echoed by AdAge when commenting on Ashton Kutcher’s use of bill board advertising when trying to win the (in)formal ‘first to 1million followers’ against CNN competition. In this piece they quoted a New York commenter who goes by Stevewax:
Seems to me what’s useful with Twitter is creating a small, two-way community with people who aren’t busy running a Twitter team and who have time to SHARE ideas. Rather than broadcast them.
Just as PR has gone to public engagement, and AR has gone to analyst engagement, it is only natural that I believe that instead of mass-broadcast (shown by popularity) or mass-amplification (shown by influence), I believe that the purest form of interaction is via multiple targeted micro-conversations where people actively engage and interact with the community. This is why when scores are weighted for ‘engagement’ the ‘involvement index’ is given the largest priority. Additional commentary on this to follow in future posts.
Methodology
| JCPRTI | JCPR Twitter index | Rg | Range assigned to score |
| Fo | Number of followers | Fg | Number users following |
| Up | Number of updates | @U | Number of name pointing |
| Rt | Number of retweets | Ta | Twitalyzer score |
| TaN:S | Twitalyzer noise to signal ratio | Ti | Twinfluence score |
| Tg | Twittergrader score | Ii | Involvement index score |
| Vi | Velocity index score | w | Weight assigned to each attribute |
| Z | Standardised score | p | Popularity |
| e | Engagement | i | Influence |
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.
Followers – Twitter lists the number of followers each user has. Like subscribing to a feed, this is a clear indication of ‘popularity’ as it requires someone to actively request participation. Follower ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 50) that was used as part of the algorithm.
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 – As the only personal subjective measure in the algorithm, opinion points were assigned to each celebrity. People who scored highest in this category had 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.
Criteria for inclusion – There are many lists of top celebrities on Twitter – every one of these use ‘popularity’ as its main criteria. Edelman have used all these lists (such as The Times, Celebrity Tweet and Mashable together with selected and ‘interesting’ names from the top 100 from Twitterholic and used its algorithm to establish their influence.
Top 200 (Celebrity) Twitters – Weighted by Influence
| Rank | Name | Country | Segment |
| 1 | Jonathan Ross | UK | TV Presenter, Comedian |
| 2 | Perez Hilton | US | Celeb blogger |
| 3 | Stephen Fry | UK | Comedian, Actor, TV presenter |
| 4 | Ashton Kutcher | US | TV Presenter, Actor |
| 5 | Graham Linehan | UK | Sitcom writer (Father Ted, Black Books, The IT Crowd) |
| 6 | Demi Moore | US | Actress |
| 7 | CNN | US | News Service |
| 8 | Lance Armstrong | US | Cyclist, sport |
| 9 | New York Times | US | News Service |
| 10 | Will Wheaton | US | Actor |
| 11 | Shaquille O’Neill | US | Basketball player, Actor, sport |
| 12 | Downing Street | UK | UK Govt, politician |
| 13 | Jason Bradbury | UK | gadget Show host, journalist |
| 14 | Philip Schofield | UK | TV Presenter |
| 15 | Soulja Boy | US | Rapper , music |
| 16 | Jimmy Fallon | US | Comedian |
| 17 | Barack Obama | US | US President, politician |
| 18 | John Mayer | US | musician |
| 19 | Michael Arrington | US | Tech News Service |
| 20 | Ryan Seacrest | US | TV Presenter, Radio DJ |
| 21 | Greg Grunberg | US | Actor, Heroes. TV |
| 22 | Alan Davies | UK | Comedian, Actor, TV presenter |
| 23 | Karl Rove | US | Political advisor |
| 24 | US | Micro Blogging Platform | |
| 25 | Rainn Wilson | US | Actor |
| 26 | Felicia Day | US | Actor |
| 27 | Michael Black | US | Comedian |
| 28 | Russell Brand | UK | Comedian, TV Presenter, Actor |
| 29 | Neil Gaiman | US | Author |
| 30 | Yoko Ono | US | Artist , |
| 31 | Mariel Hemingway | US | Actor |
| 32 | Coldplay | UK | Music band |
| 33 | Rick Sanchez | US | American TV news anchor |
| 34 | John Hodgman | US | Comedian |
| 35 | Fred Durst | US | Musician |
| 36 | Phil Jupitus | UK | Comedian, radio show host |
| 37 | Will Carling | UK | Ex England rugby captain, sport |
| 38 | Adam Woodyatt | UK | Actor, Eastenders |
| 39 | BBC Click | UK | BBC News service |
| 40 | Snoop Dogg | US | Rapper , music |
| 41 | Imogen Heap | UK | Musician |
| 42 | P Diddy | US | Record producer, rapper, entrepreneur |
| 43 | Brent Spiner | US | Actor |
| 44 | Tony Hawk | US | Professional Skateboarder, sport |
| 45 | Britney Spears | US | Singer, Music |
| 46 | Dave Matthews | US | Musician |
| 47 | Brea Grant | US | Actor |
| 48 | Penn Jillette | US | Magician |
| 49 | Joe Trippi | US | Political Adviser |
| 50 | John Cleese | UK | Actor, Comedian |
| 51 | Oprah Winfrey | US | TV show host |
| 52 | Warren Ellis | UK | Writer |
| 53 | Jenni Falconer | UK | TV presenter |
| 54 | Fearne Cotton | UK | Radio DJ, TV Presenter |
| 55 | Ellen DeGeneres | US | TV Presenter, Actress |
| 56 | Jon Favreau | US | Film Director |
| 57 | Jimmy Carr | UK | Comedian, TV Presenter |
| 58 | Hedi Monatag | US | MTV reality star |
| 59 | Jane Goldman | UK | Jonathan Ross’ wife, writer |
| 60 | David Lynch | US | Film Maker |
| 61 | Tim Lovejoy | UK | TV Presenter |
| 62 | Mike Skinner | UK | TV Presenter |
| 63 | Andi Peters | UK | TV Presenter |
| 64 | James Gunn | UK | Comedian, writer |
| 65 | Pete Wentz | US | Musician |
| 66 | Dave Gorman | UK | Comedian, writer, TV show host |
| 67 | Richard Branson | UK | Owner of Virgin Group, Entrepreneur |
| 68 | Mathew Horne | UK | Comedian, Actor, TV presenter |
| 69 | Martha Stewart | US | Entrepreneur; TV and magazine personality |
| 70 | Robert Llewelyn | UK | Actor, writer, TV presenter |
| 71 | Al Gore | US | American politician |
| 72 | Eddie Izzard | UK | Actor |
| 73 | Suzi Perry | UK | Gadget Show Presenter |
| 74 | Krishnan Guru Murthy | UK | C4 News Presenter |
| 75 | Travis Barker | US | Musician |
| 76 | Chris Moyles | UK | Radio DJ, TV Presenter |
| 77 | Al Yankovic | US | Comedian. |
| 78 | Paul Daniels | UK | Professional Magician |
| 79 | Danny Wallace | UK | Journalist, author, script-writer, producer |
| 80 | Xzibit | US | Rapper, TV Presenter, music |
| 81 | Rob Brydon | UK | Actor, Comedian |
| 82 | Calvin Harris | UK | Musician |
| 83 | Paulo Coelho | Brazil | Author |
| 84 | 50 Cent | US | Rapper , music |
| 85 | Miley Cyrus | US | Actor |
| 86 | Tom Felton | UK | Actor |
| 87 | William Shatner | US | Actor |
| 88 | Rory Cellan-Jones | UK | Journalist, Broadcaster |
| 89 | Jamie Oliver | UK | Chef |
| 90 | Solange Knowles | US | Singer , music |
| 91 | Bill Bailey | UK | Comedian |
| 92 | Bjork | Iceland | Singer , music |
| 93 | Toby Young | UK | Journalist, Broadcaster |
| 94 | Stan Collymore | UK | Ex-footballer, radio show host, sport |
| 95 | Kevin Smith | US | Film Director, Actor |
| 96 | Ben Goldacre | UK | Scientist, journalist |
| 97 | Arnold Schwarzenegger | US | Governor of California, former actor |
| 98 | David Hewlett | US | Actor |
| 99 | Richard Bacon | UK | TV Presenter |
| 100 | Tony Gardner | UK | Actor |
| 101 | Alexander Armstrong | UK | Comedian, writer |
| 102 | Emma Kennedy | UK | Actor, writer |
| 103 | Beverley Knight | UK | Singer, music |
| 104 | Matt Lucas | UK | Comedian, Actor, TV presenter |
| 105 | Richard Herring | UK | Comedian |
| 106 | Charlie Brooker | UK | Columnist, Writer |
| 107 | Annie Mac | UK | DJ |
| 108 | Tim Westwood | UK | DJ |
| 109 | Claudia Winkleman | UK | TV personality |
| 110 | Chris Addison | UK | Comedian |
| 111 | Alan Carr | UK | Comedian, TV Presenter |
| 112 | Scott Mills | UK | Radio 1 DJ |
| 113 | Aleksandr Orlov | UK | Comparethemeerkat |
| 114 | Rob Corddry | US | Comedian |
| 115 | Kim Kardashian | US | TV star |
| 116 | Hillary Clinton | US | Politician |
| 117 | Peter Andre | UK | Singer, music |
| 118 | Holly Willoughby | UK | TV presenter |
| 119 | Tim Minchin | Australia | Comedian, musician, actor |
| 120 | Taylor Swift | US | Singer, music |
| 121 | David Mitchell | UK | Comedian, Actor |
| 122 | Iain Lee | UK | Comedian |
| 123 | Katy Perry | US | Singer, music |
| 124 | Peaches Geldof | UK | Celeb daughter |
| 125 | Mark Kermode & Simon Mayo | UK | Radio |
| 126 | Edith Bowman | UK | Radio DJ, Presenter |
| 127 | Boris Johnson | UK | Politician: Mayor of London, Columnist |
| 128 | Janina Gavankar | US | Actor |
| 129 | Robert Webb | UK | Actor, Comedian |
| 130 | Sara Bareilles | US | Singer, music |
| 131 | Michael Phelps | US | Swimmer , sport |
| 132 | Brett Gurewitz | US | Musician |
| 133 | Kate Hewlett | US | Actor |
| 134 | Tom Harris | UK | MP, politician |
| 135 | Rufus Hound | UK | Comedian |
| 136 | Huew Stephens | UK | DJ, TV presenter |
| 137 | Lady GaGa | US | Singer , music |
| 138 | Graham Coxon | UK | Musician |
| 139 | David Schneider | UK | Comedian, actor, writer |
| 140 | Reggie Yates | UK | Radio DJ, TV Presenter |
| 141 | Brooke Hogan | US | Singer, music |
| 142 | Mandy Moore | US | Actor |
| 143 | Kelly Clarkson | US | Singer , music |
| 144 | John Thompson | UK | Actor, comedian |
| 145 | David Baddiel | UK | Comedian, TV presenter |
| 146 | Liam Gallagher | UK | Musician/Singer |
| 147 | Jamie Cullum | UK | Musician |
| 148 | Shanna Moakler | US | Musician |
| 149 | Heidi Range | UK | Singer/Sugababes, music |
| 150 | Vanessa Hudgens | US | Actress, Singer, music |
| 151 | Josie Long | UK | Comedian |
| 152 | Demi Lovato | US | Musician |
| 153 | Adam Buxton | UK | Writer/Comedian |
| 154 | Declan Curry | UK | Business journalist/BBC TV Presenter |
| 155 | Andy Murray | UK | Tennis Player, sport |
| 156 | Hugh Jackman | Australia | Actor |
| 157 | Elizabeth Banks | US | Actor |
| 158 | Ben Miller | UK | Comedian, writer |
| 159 | Dan Tetsell | UK | Comedian, writer |
| 160 | Melora Hardin | US | Actor |
| 161 | Regina Spektor | US | Musician |
| 162 | Mark Watson | UK | Comedian |
| 163 | Kyran Bracken | UK | Sports – rugby |
| 164 | Katherine Parkinson | UK | Actor |
| 165 | John Prescott | UK | Politician, Former Deputy Prime Minster |
| 166 | Brian Dooley | UK | Comedian, writer, TV show host |
| 167 | Robin Williams | US | Comedian, Actor, TV presenter |
| 168 | Armando Iannucci | UK | Writer, comedian |
| 169 | Lee Unkrich | US | Director, entertainer |
| 170 | Katie Price | UK | Model |
| 171 | Ronan Keating | Ireland | Singer/Boyzone , music |
| 172 | Billie Piper | UK | Actress |
| 173 | Rumer Wilis | US | Celebrity Daughter |
| 174 | Alexandra Burke | UK | Singer , music |
| 175 | Judge Jules | UK | DJ, TV presenter |
| 176 | Will Self | UK | Writer/Comedian |
| 177 | John McCain | US | Politician |
| 178 | Lauren Conrad | US | MTV reality star |
| 179 | Neil Innes | UK | Comedian, writer |
| 180 | Lizo Mzimba | UK | Journalist, Broadcaster |
| 181 | Jamie Oliver | UK | Musician |
| 182 | Raef Bjoyou | UK | TV personality – The Apprentice |
| 183 | Miranda Hart | UK | Comedian, writer |
| 184 | Henry Dartnall | UK | Musician |
| 185 | Hulk Hogan | US | Retired Wrestling Legend, sport |
| 186 | Lily Allen | UK | Singer , music |
| 187 | Selena Gomez | US | Actor |
| 188 | Joe Biden | US | US VP, Politician |
| 189 | Alex Zane | UK | TV presenter |
| 190 | Drew Pinsky | US | Dr. Drew TV Star |
| 191 | MC Hammer | US | Rapper, Musician |
| 192 | Mischa Barton | US | Actress |
| 193 | Steve Coogan | UK | Comedian, writer |
| 194 | Jusint Lee Collins | UK | TV presenter |
| 195 | Tom Green | US | Actor, comedian, writer |
| 196 | Graham Norton | UK | Comedian, TV Presenter |
| 197 | Alexa Chung | UK | DJ, TV presenter |
| 198 | Gail Emms | UK | Sport, badminton |
| 199 | Dave Berry | UK | TV Presenter |
| 200 | Lethal Bizzle | UK | Musician |
As with previous measurement posts I have published, I welcome the community to comment on it and provide your feedback.
Filed under: social media | 28 Comments
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Technobabble 2.0 
Jonny, this is an amazing piece of work. Terrific insights! Thank you.
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Can’t wait to see that… 🙂
cheers,
Graeme
http://www.twitter.com/graemethickins
Sorry, that reference in brackets, from your post, didn’t take. It was:
“I hope to be publishing the analyst version of this very soon.”
This is well done. You should also check out Klout.net for measuring Twitter influence.
wow….and to think I used to think I had too much free time on my hands =)
First of fantastic article, and a great read
but quick question, now did Gail Emms get ranked as No5 on the ‘Weighted by Popularity’ list? I don’t have a problem with her being No5 as I used to live in Milton Keynes and played Badminton, even went to the National Badminton Centre a few times. but she is only folowing 21 people, with 210 following her, and she has tweeted 27 times. I think some thing may be a miss somewhere. If it sorts it self out before you read this I have a screen cap I can send you. Apart from that a good, and very useful list, so many thanks for taking the time it took to do.
Oh and congrats to Gail Emms for doing the London Marathon in 3hrs 47, a good couple of days quicker than I could do it.
Is this an April Fool or can I post about it ?
hi
SteveintheUK – thanks for heads-up about Gail Emms – have corrected the table so the post is up-to-datea gain now.
Alex – even though this is a bit tongue-in-cheek (especially the formula), there is a serious side to it. We always will need to understand who is popular or influential or engaged. Please feel free to write about it – I look forward to seeing your thoughts.
HI, Jonny, this is amazing! Is there anyway I could get respondent-level data (anonymized, of course, no names, just randomly assigned numeric ID)? I would love to run some regression and other analyses to see how composites of your score (number of followers, updates, etc.) are inter-related? i will be more than ok to submit all results to you or write a paper together.. drop me a line at modernmetrix at gmail dot com if u r interested!
… popular, infleuntial, engaged … wow, you guys have got WAY to much time on your hands … and I mean that literally .
Everyone belly aches about what is WRONG with America … well, might I posit that somewhere along the line MEN stopped using their ENTIRE HANDS?
They just started twiddling their thumbs …
Analyizing ‘zeitgeist’ is ALOT more then just tabulating ‘numbers’ … If you’re trying to get a reading on the NEXT BEST “HOT” THING … you gotta walk away from your machines … Seriously.
This is just pablum for the peeps … Nothing here of any TRUE, REAL or LONG LASTING significance … imho.
Love & kisses,
moi
What does the “standardized score” Z entail?
Thanks canadada
There is a serious point to all this. You may think that the time I have spent on this is wasted but there are many companies who are considering working with individuals to help endorse them. in this situation, should they work with Ashton Kutcher just because he is popular or should they instead form a relationship with a person who can engage with small yet relevent segments and can influence them.
Jonny, I did understand that … kinda patently so. That’s what ‘stunned’ me … cuz, yes, twitter is gaining ground WITHIN a certain PUBLICITY SEEKING set.
Meanwhile, America is twirling off into Nothingville and this kind of thing just aids and abets same.
Some pulbic ‘personas’ are SO OBSESSED with their “fame” they’ll do ANYTHING to feed their never-ending narcissistic impulses. Lenny Kravits posting his butt on twitter is a prime example. I mean, SERIOUSLY, who gives a rat’s ass? Well, apparently OTHER narcissistic “famed obsessed” ‘personalities’ do … And so, it all quickly becomes a breeding ground for Self obsessed ‘Publicity seeking’ inbreds.
Meanwhile, America, WORKING America, is supposed to BELIEVE in these people? WORKING America is supposed to FOLLOW these people? Come on, this and they are NOT the manifestation of ‘the American Dream’. Rather, they are more representative of yet another ‘cloud cluster’ of the emerging American NIGHTMARE … (lest we forget – ‘Corrupt Wall Street’, ‘Corrupt Banks’, ‘Corrupt Oil oligarchy”, ‘The American DEBT’, ‘Bloated Auto Industry’. etc, etc., .. )
Publicity for PUBLICITY’S SAKE is fluff, and fluff is just that, fluffy fluff.
YOU, dear Jonny, MAY make some dough off your analysis, and more power to you and your ENTREPENEURIAL SPIRIT, but for the rest, and for WHAT IT intrinsically IS, well, imho, it’s about as ‘important’ as a paper clip … and THAT is not GOOD for the what was the once Great U.S. of A.
Thanks Hannah
It is essential to have a standardised score to ensure that the final number that an individual is given is not biased.
To explain in a bit more detail…
For example, if someone has between 4,000 and 5,000 followers I may give them a score of 7 out of 50. Ashton Kutcher would probably get 50. This range principle is applied across all the different variables (such as number or retweets, posts etc). However, if I merely added up the different numbers it would give an unfair bias towards ranges where the total possible score is very high. I therefore divide each possible variable so that the total possible score for each item would be out of 10. This is the z-score or standardised score.
I can then apply weighting to each variable to give a final number which when added together gives a final number. Got that? I know this sounds extremely complicated but in order for me to be confident in the robustness of this methodology it has to be mathematically sound.
Facinating analysis. I think that we have just scratched the surface of the applications of Twiiter and how powerful it can be.
Hello cool index very detailed. is there a way people can put in their own twitter id – or others to see a relative score? for instance – how influencial am i vs others that follow me/or i follow?
thanks!
stephen
As a top Twitter business user, I was sent an advance copy of the Tweet Adder System for my review. This is by far the best Networking Tool I have used for Twitter!
I read that he was to eager do a Coronation Street appearence :O. Sounds a bit dodgy to me. There’s a bit of me that kind of hopes this is true lol.