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Analysing the top 1,000 twitter accounts associated with technology, Edelman has found that more and more brands – rather than individual people – are using Twitter  to influence and engage with their customers and prospects. According to tweetlevel.com analysis, in April,  over 40 of the top 200 technology influencers were brands such as Google and Bing up from approximately 25 in January.

Many of these brands saw their influence rise dramatically too.  Between January 2010 and April 2010,  Ubertwiter jumped from 57th place to 13th, HTC leapt 103places from 194 to 91st and Google rose to 15th from 17th while its rival bing fell from  118th to 186th.  The highest ranked brands were  Wired (9), TechCrunch (11), Ubertwitter (13) and Google (15).  I have included media mastheads that tweet or rather broadcast as brands but classed as personal when it is the individual journalist who tweets as this tends to narrowcast and involve personal as well as news content. These numbers are accurate as of 23 April.

On the whole, relatively  few media make it into the top 200 of the 45 brands and only 7 were these kind of branded media. Individual journalists also only form a small proportion of the list where the biggest group remains industry gurus or consultants. Indeed half of the top 10 fall into this category: Jeff Pulver (3), garyvee (5), rww (6), Chris Brogan (7) and Tim O’Reilly (8). Nevertheless as a journalist, Mashable’s Pete Cashmore remains clearly in number one position for influence though very low on engagement.

The blurring of traditional influencer roles is also matched by a blurring of personal and brand tweet names, the clearest example being Scobilizer: guru, journalist, bird or plane?  Even analysts are becoming strangely personalized, James Governor’s Monkchips being a great example. Top of the analyst ranking is Jeremiah Owyang who comes in at number 18.

Is this de-personalisation of Twitter polluting the platform and reducing it value as an objective way of looking at the technology landscape?  I definitely think a level of authenticity is being lost even when a person was tweeting as an employee there was often a belief in single point of view albeit often either very positive or negative when it came to their employer.  However, brand tweeting is by its nature more faceless and an amalgamation of the collective views behind the brand.  This is clearly helpful in that it is officially the view of the brand owner but in truth, this also becomes less engaging.  I would love to hear your thought.

If you want to follow this list, you can automatically follow the top 250 by clicking here, or 251 – 500, 501 – 750 and 751 – 1000)  (via Tweepml) or via this twitter list.

For the full list see below:

Account Influence Popularity Engagement Trust
1 mashable 82.3 94 8.7 95.4
2 huffingtonpost 82 86 46.7 93.7
3 jeffpulver 80.6 82.9 80.1 83.5
4 stephenfry 80.5 92 58.2 85
5 garyvee 80.4 88.5 82.6 81.5
6 rww 79.7 89.8 46.6 87.5
7 chrisbrogan 79.6 76.5 74.3 83.3
8 timoreilly 77.7 91.9 56 84.1
9 wired 77.2 84.8 47.9 86.1
10 jack 76.7 92.6 54.9 82.1
11 TechCrunch 76.4 91.6 7.7 94.7
12 GuyKawasaki 76.2 80 52.2 90.6
13 UberTwiter 75.8 89.6 86.9 86.8
14 zappos 75.7 92.9 42.5 81.2
15 google 75.4 94.7 45 84.3
16 engadget 75.2 74.6 3.7 86.5
17 biz 75.2 92.8 44.2 81.6
18 jowyang 74.7 71.6 50.8 78.3
19 loic 74.7 69.1 66.6 76.8
20 problogger 74.6 74.3 61.5 77.2
21 BarackObama 74.6 98.1 44.8 93.8
22 ijustine 74.3 90.4 56 71.4
23 om 73.9 91 56.2 77.6
24 socialmedia2day 73.9 65.8 42.4 80
25 MCHammer 73.8 93.5 63 81.4
26 anildash 73.8 82.4 66.8 77.4
27 whitehouse 73.8 93.2 41.5 83.6
28 kevinrose 73.8 90.5 64.1 74.9
29 foursquare 73.2 70.7 54.6 77.6
30 NASA 73 82.9 48 89.3
31 Scobleizer 72.9 75.9 64.6 80.8
32 gizmodojapan 72.9 64.3 9 76.1
33 jeffjarvis 72.8 68.9 55.6 74.3
34 ev 72.6 90.7 73.2 80.8
35 kogure 72.2 79.8 64.3 70.4
36 sitepointdotcom 72.1 71.5 66 71
37 sacca 71.9 91.4 70.7 70.7
38 steverubel 71.8 68.8 60.2 73.7
39 Gizmodo 71.7 72.2 46.2 88.5
40 aots 71.7 72.5 54.9 64.9
41 laughingsquid 71.7 71.9 53.9 74.1
42 taguchi 71.4 80.4 58.1 71.9
43 copyblogger 71.4 70.2 55.9 75.8
44 rleseberg 71.4 75.7 53 69.8
45 arstechnica 71.4 70.6 10 73.2
46 ndorokakung 70.9 59.9 65.3 82.2
47 sciam 70.8 70.9 44.7 73
48 brainpicker 70.7 63 39.2 77.1
49 zaibatsu 70.7 74.8 59.8 79.4
50 gruber 70.7 70.9 72.2 76.7
51 g4tv 70.5 90.3 40.2 74.8
52 prsarahevans 70.2 69.1 64.2 66.6
53 Jason 70.1 74.3 63.6 74.5
54 MariSmith 70.1 72 71.4 75.6
55 kotoripiyopiyo 70.1 79.9 67.5 66.1
56 sasakitoshinao 69.8 68.4 44.7 66.1
57 suziperry 69.8 69 47.9 70.7
58 abduzeedo 69.8 70 44.2 73.2
59 olhardigital 69.7 69.4 8 74.1
60 gonzague 69.7 58.3 73.1 64.9
61 facebook 69.7 79.7 50.9 78.3
62 leolaporte 69.7 78.6 45.1 66.8
63 zoecello 69.6 91.6 67.8 63.5
64 TheNextWeb 69.6 84.4 49.1 78.9
65 guardiantech 69.5 92.6 42.8 65.8
66 shanselman 69.4 65.6 73.2 61.6
67 majornelson 69.2 75 36 74.8
68 mikebutcher 69.1 62.5 56 68.1
69 crackberry 69.1 68.6 55 75.9
70 codinghorror 69 66.7 52 72.9
71 Pogue 69 91.4 48 77.5
72 kittykills 69 68 70.8 61.5
73 Veronica 68.7 92.7 78.4 70.4
74 jasonfried 68.7 66.8 66 68.2
75 karaswisher 68.6 87.1 62.4 67.4
76 Cardoso 68.6 64.5 59.6 77.7
77 interney 68.6 68.5 51.8 67
78 charlesarthur 68.5 60.6 69.2 66.3
79 DanSchawbel 68.4 72.9 51.2 76.3
80 earcos 68.4 73.8 58 67.8
81 jayrosen_nyu 68.1 67.7 49.3 65.8
82 tokuriki 68.1 79.3 58.2 63.3
83 davewiner 67.7 66.8 49.1 65.2
84 skydiver 67.4 71.1 41.4 65.9
85 ChrisPirillo 67.4 73.2 42.7 76.2
86 Bauart 67.3 63 38.2 83.9
87 briansolis 67.3 70.5 58.7 71.6
88 jemimakiss 67.3 62.5 53.7 66.3
89 ruskin147 67.3 62.4 53.5 64.3
90 nobi 67.2 79.5 55 61.3
91 htc 67.2 79.6 58 65.5
92 msuster 67.2 59 68.9 62.5
93 mattcutts 67 71 64.7 63.4
94 amazonmp3 66.9 92.1 43.8 68.4
95 dollars5 66.9 75.7 10 67.3
96 gatesfoundation 66.9 83.3 39.9 77.1
97 eMarketer 66.8 65.4 42 77.6
98 parislemon 66.8 62.7 48.4 59.7
99 migueldeicaza 66.7 60.9 64.8 62.5
100 mollywood 66.7 67.1 65.1 61.2
101 masason 66.6 80.2 44.5 80.4
102 marshallk 66.6 62.9 46.6 62.1
103 acedtect 66.6 65.6 59.8 61.9
104 armano 66.4 66.1 64.7 71.4
105 MSWindows 66.3 72.7 75.1 67.9
106 nickellis 66.2 58.3 65.7 60.2
107 jmatuk 66.2 61.6 61.8 61.3
108 hnshah 66.1 63.5 48 61.8
109 stop 66 68.5 59.1 74.5
110 ekozlov 65.8 70.9 47.8 58.5
111 ambermac 65.7 68.9 73.9 57.2
112 tferriss 65.7 74.7 39.4 66.5
113 benjamincohen 65.7 53 59.3 66.6
114 scottgu 65.7 65.1 46.8 69.8
115 alexalbrecht 65.7 72.7 44 61.8
116 mathewi 65.5 61.4 52.3 61.6
117 elijahmanor 65.5 67.1 53.3 60.7
118 craignewmark 65.4 64.7 57.4 59.4
119 andybeal 65.4 62.8 56.4 64.2
120 tsuda 65.4 70.7 46.9 55.7
121 davemcclure 65.4 66.3 55.5 59.4
122 TEDchris 65.3 90.5 41.2 76
123 woot 65.3 92.8 2.7 68.5
124 jackschofield 65.3 59.8 54.5 61.3
125 sixrevisions 65.1 63.9 48.1 73.6
126 mcuban 64.9 76.7 51.8 61.7
127 IDGNow 64.8 66.1 9.3 73.2
128 dalmaer 64.8 56.5 51.4 62.1
129 pkedrosky 64.8 67.1 52.4 61.4
130 rsarver 64.8 81.6 68.4 54.9
131 adanvecindad 64.7 54.5 59.4 58.6
132 boxee 64.7 66.5 61.9 56.1
133 martinvars 64.6 62 42.7 63.5
134 bitrebels 64.5 57.5 8.3 63.3
135 JasonFalls 64.5 65.7 62.7 65.6
136 waze 64.5 54.6 77.9 55.2
137 chrismessina 64.5 64.6 56.2 58.7
138 taromatsumura 64.5 78.9 50.6 56.7
139 al3x 64.4 63.6 64.5 59.4
140 kevinmarks 64.4 61.3 53.5 59.5
141 marilink 64.4 74.7 51.6 59.8
142 fshin2000 64.3 79.1 58.7 53.8
143 Vivoemrede 64.3 65.7 40.5 80.8
144 CaliLewis 64.1 71.9 46.6 68.2
145 DAChesterFrench 64.1 89.5 62.6 62.2
146 ariannahuff 64 83.8 40 64
147 fredwilson 63.9 71.5 44.3 58.4
148 johnbattelle 63.9 66.7 50.4 57.4
149 yahoo 63.9 67.2 42.3 59
150 monkchips 63.8 58.5 51.3 58.9
151 uschles 63.7 71.8 79.3 51.9
152 olyapka 63.7 53.8 73.1 56
153 pandora_radio 63.6 68.3 68.9 52.9
154 waynesutton 63.6 66.8 60.2 55.2
155 djtechnasty 63.5 64.3 49 56.3
156 ollehkt 63.5 64.4 75.3 62.2
157 VentureBeat 63.4 60.6 8.3 71.7
158 bfeld 63.4 60.8 51 57.8
159 chasejarvis 63.3 67.6 45.3 58.4
160 xguru 63.3 62.2 56.1 51.9
161 gamekicker 63.2 65.4 10 60.5
162 SteveCase 63.2 82.6 43.4 68.3
163 Padmasree 63.1 91.8 67.3 64.9
164 Zee 63.1 64.4 58.5 63.2
165 SocialMedia411 63.1 72 40.8 67.3
166 Korben 63 57.4 56.4 67
167 forrester 63 68.3 45.7 58.4
168 Moonalice 62.8 73.4 45.6 68.4
169 arturoelias 62.7 66.3 7.3 59.9
170 BlackBerry 62.7 72.2 56.5 74.2
171 forces2 62.6 67.8 39.5 61.6
172 joshuatopolsky 62.5 62.1 49.6 60.9
173 thurrott 62.4 67.4 52.7 56.3
174 jolieodell 62.4 59.3 51.5 57.1
175 alt1040 62.4 63.3 2 63.3
176 renailemay 62.4 53 57.7 52.6
177 timbray 62.3 59.5 50.7 56.8
178 developerworks 62.3 66 38.6 58.7
179 JasonBradbury 62.3 70.4 76.3 57.9
180 doctorow 62.3 70.6 63.9 61.7
181 tsuruaki 62.2 58.9 46.3 55.1
182 bing 62.2 69.3 68.1 51.3
183 prblog 62.1 62.8 59 53.8
184 ginatrapani 62 71 47.6 57.4
185 shwood 61.9 62.9 58.3 53.3
186 suadd 61.9 79.7 44 54.2
187 pcworld 61.8 63.1 44.5 65.6
188 dharmesh 61.8 64.5 55.6 62.5
189 macworld 61.8 70 38.9 56.9
190 dannysullivan 61.8 69.6 46.6 63.7
191 japonton 61.7 55.2 73.3 51.8
192 tamar 61.7 62.5 62 56
193 BethHarte 61.7 64 74.3 57.9
194 Phonedog_Noah 61.7 60.1 58 62.8
195 thomaspower 61.7 60.7 42.7 53.5
196 stilgherrian 61.6 54 42.9 53.9
197 rwang0 61.6 57.3 54.7 54.2
198 patricknorton 61.5 69.3 47.2 57.3
199 hermioneway 61.5 56.7 63.9 52.8
200 arrington 61.4 66.4 44.1 57.4
201 bbgeeks 61.3 66 74 51.1
202 RicardoZamora 61.3 60.4 73 59.1
203 algore 61.3 94.4 33.8 74.9
204 digg_technews 61.3 62.7 39.7 62.5
205 anakcerdas 61.3 47.6 65.7 53.5
206 LanceUlanoff 61.1 63.3 43.8 62.1
207 posterous 61.1 61.1 51.1 60.1
208 willsmith 61 58.3 67.9 52.1
209 thecreativeone 61 58.1 58.5 50.1
210 stoweboyd 61 60.4 55.8 50.3
211 prtini 60.9 55.4 59.2 53.8
212 natalidelconte 60.9 66.8 70.3 50.5
213 howtogeek 60.9 59.2 64.8 57
214 qwghlm 60.8 49.6 56.6 58.6
215 yoris 60.8 53.3 46.9 59
216 Ihnatko 60.8 67.4 58.2 60.5
217 glennhilton 60.8 66.5 67.1 50.8
218 jsnell 60.7 61.4 71.9 49.5
219 ConversationAge 60.7 63.2 65.3 59.1
220 MuscleNerd 60.7 70.2 75.5 60
221 walidmrealtor 60.6 67.6 44.7 53.7
222 info_plantao 60.6 65.9 2 72.9
223 apisanty 60.6 53 55.3 51.6
224 rk 60.6 81.6 66.7 52.9
225 link_estadao 60.5 61.5 6 59.5
226 tim 60.5 56.6 56.9 55.3
227 hdmoore 60.5 56.9 70.1 52.4
228 caro 60.5 61 53.6 53.2
229 ba_anderson 60.5 54.9 51.5 55.4
230 Jesse 60.5 65.6 45.5 60.4
231 raduboncea 60.5 67.1 10 56.4
232 adamostrow 60.4 63.9 45.8 53.1
233 harrymccracken 60.4 63.5 50.6 53.3
234 JesseNewhart 60.4 69 47.8 62.4
235 delbius 60.4 82.2 65.5 50.2
236 ryancarson 60.3 64.7 69.9 49.3
237 ryanstewart 60.3 58.8 63.1 52.5
238 CNETNews 60.3 71.9 0.7 72.7
239 g1tecnologia 60.2 64.6 3 63.8
240 nick 60.2 60.9 8.3 58.7
241 HTC_Ru 60.2 55.9 80.7 54.8
242 erickschonfeld 60.1 61.4 56 57.5
243 Kotaku 60.1 64.7 0.3 72.8
244 prebynski 60 65.6 55.4 53.3
245 iamlittleboots 60 70.3 49.5 52.6
246 Econsultancy 60 64 39.6 64.1
247 JohnFMoore 60 61.5 52.6 59.4
248 mediaphyter 60 62.8 62.7 50.2
249 tacanderson 59.9 57.2 48.3 51.8
250 aulia 59.9 51.5 64.2 51.8
251 louisgray 59.9 61.9 48.4 52.8
252 jblm 59.9 70.9 46.6 49.5
253 mg 59.9 56.2 64.5 53.8
254 zephoria 59.9 66 45 55.5
255 cxi 59.8 62.9 49.9 49.7
256 blam 59.8 59 63.6 49.9
257 rustybrick 59.7 58.3 40.4 55.1
258 OReillyMedia 59.7 62.6 48 58.2
259 BBCClick 59.7 93.2 42.5 69.1
260 dtapscott 59.6 61.9 38.7 55.7
261 CandiceNicolePR 59.6 57.6 56.3 59
262 dsilverman 59.5 59.5 55.6 50.7
263 film_girl 59.5 61.9 63.7 48.2
264 AaronStrout 59.5 61.3 68.1 54.8
265 hharteveldt 59.4 52.7 50.6 54.2
266 gigaom 59.4 62.5 2.7 65.5
267 joehewitt 59.3 63.1 64.7 54
268 moniguzman 59.3 58.7 58.3 48.8
269 uncrate 59.3 65.4 10 60.8
270 jbruin 59.2 60.2 49.9 50.6
271 InsideGaming 59.2 65 45.6 58.1
272 onlyapplenews 59.2 63.1 10 55
273 JPBarlow 59.2 59.8 44.6 62.4
274 ClaytonMorris 59.2 64.9 58 55.8
275 zsafwan 59.2 60 53.2 50.4
276 whereivebeen 59.1 69.4 48.2 58.9
277 PRCog 59.1 52.6 72.6 54.9
278 benparr 59.1 62.5 49.9 58.1
279 petezin 59 54.5 8.7 52.4
280 Stammy 59 61.1 59.2 57.7
281 Spotify 59 68.6 65.4 53
282 bokardo 58.9 60.3 49.3 52.2
283 sanuzis 58.9 62.2 37.3 53.4
284 amous 58.9 66.8 58.2 47
285 MalcolmMoore 58.9 53.2 44.5 62.4
286 shonali 58.9 57.3 64.4 47
287 fseixas 58.8 58.7 60.5 50.6
288 budip 58.8 53.1 59.3 51.4
289 vendeesign 58.7 54.8 42.2 54.6
290 danielbru 58.6 82.3 41.1 51.2
291 patphelan 58.5 54.2 54.8 51.4
292 PhilipNowak 58.5 62.9 52.7 57.4
293 outsideorg 58.5 50.6 75.8 45.2
294 bxchen 58.5 54.6 49 49.7
295 greentechmedia 58.5 57.8 37.5 54.2
296 THErealDVORAK 58.5 72.1 68.3 55.5
297 Mediabistro 58.4 71.2 42.7 58.8
298 amymengel 58.4 52.3 59.7 47.5
299 florianseroussi 58.4 67.3 53 48.1
300 ch9 58.3 60.8 4.7 60.6
301 TheFeed 58.2 64.8 4 66.5
302 tomcoates 58.1 57.8 58.8 48.7
303 shanerichmond 58.1 54.8 50 50.7
304 meyerweb 58.1 65.6 53.2 50.3
305 ryan 58 67.1 60.1 59.2
306 charleneli 58 67.6 52.1 50.9
307 CarinaK 58 71.6 59.7 52.8
308 seanbonner 58 57.1 51.4 51.5
309 reybango 57.9 52.2 67.1 45.8
310 jasonhiner 57.9 60.4 41.1 53.7
311 johnmaeda 57.8 69.2 34.4 55
312 radioedit 57.8 46.4 72.2 50.1
313 ApplisiPhone 57.8 59.2 42.7 61.2
314 augieray 57.7 55.1 56.1 47.4
315 emilychang 57.7 63 56.2 47.5
316 iwaonakayama 57.7 57.3 44.2 56.7
317 householdhacker 57.7 63.4 54.2 48.5
318 Joe 57.7 65.8 51.4 59.9
319 richardlai 57.6 48.2 71.1 47.4
320 tomforemski 57.6 58.9 44.7 49.3
321 peterkim 57.6 61.1 57.4 50.6
322 stiennon 57.6 63.9 52 48.7
323 EntMagazine 57.6 65.1 43.1 59.6
324 billt 57.6 59.6 49.7 49.9
325 jobsworth 57.6 55.3 58.4 44.6
326 pierre 57.6 82.5 53.3 46.9
327 BTCare 57.5 56 83.5 45.7
328 jopkins 57.5 48.4 56.2 53.1
329 dsearls 57.5 60.1 46.8 50
330 gamespot 57.5 73.7 3.3 54.8
331 wolwol 57.5 44.3 68.2 49.8
332 TomRaftery 57.4 57.2 56 56.2
333 pud 57.3 61.9 53.1 49
334 ForbesTech 57.3 71.5 41.9 58.3
335 telediariomty 57.3 56.3 2 56.5
336 cote 57.3 53.5 52.2 47.1
337 timesjoanna 57.3 54.3 61.1 47.3
338 VodafoneUK 57.3 60.8 83.3 43.2
339 tekusuke 57.3 55.4 44.5 43.1
340 Gartenberg 57.2 57.1 58.8 55.1
341 geekdotcom 57.2 56.5 8.7 53.3
342 gnat 57.2 54.1 63.3 45.8
343 cfleury 57.2 62.9 59 43.9
344 eldarmurtazin 57.2 57.8 61.8 50.1
345 mfauscette 57.2 57.6 41.8 50.4
346 bangwinissimo 57.1 47.6 55.1 51.3
347 centernetworks 57.1 59.3 56.4 46.5
348 whiteafrican 57.1 56.5 44.6 50.6
349 rilescat 57.1 66.3 41.3 47.1
350 MrPointyHead 57 59.5 66.6 51.3
351 Genuine 57 60.4 61.5 53.3
352 rands 57 61.2 6.3 53
353 jhagel 57 51.3 41 51.2
354 FortuneMagazine 56.9 72.1 34.5 61
355 ThisIsSethsBlog 56.9 67.2 0 74.2
356 latimestech 56.9 61.2 8.7 52.5
357 Computerworld 56.9 60.8 39.4 56.4
358 simonw 56.9 57.4 49.1 46.2
359 dotmotion 56.9 56.3 62.1 46.4
360 ScienceChannel 56.9 69.9 40 59.7
361 anddjournal 56.8 70.2 45.7 44.8
362 dailyrt 56.8 54.1 41.4 49.8
363 richardbranson 56.8 82.2 38.8 55
364 garotasemfio 56.8 63.1 49.8 47.6
365 fromedome 56.8 55 52.3 45.7
366 AlisonBrodPR 56.7 56.3 46.7 57.9
367 juliaallison 56.7 63.8 40 49.4
368 hulu 56.7 66.9 51.4 46.9
369 reckless 56.7 54.9 43.2 48.9
370 jimmy_wales 56.7 62.7 48.2 53.7
371 StockTwits 56.7 74.8 44.6 55.7
372 spotonpr 56.7 53.8 51.2 48.1
373 riccardowired 56.6 61.8 54.1 48.8
374 drnatalie 56.6 58 42.5 47.1
375 ramyaprajna 56.6 47.4 58.7 49.9
376 saschasegan 56.6 55.7 59.1 48
377 gillianshaw 56.6 53.8 61.8 47
378 hoovers 56.5 57.3 61.4 45.7
379 mkapor 56.5 63.1 43.1 52
380 AdweekDotCom 56.4 65.4 37.8 56.7
381 threatpost 56.4 53.3 34.7 52.7
382 Werner 56.4 60.9 44.5 57.2
383 DavidSpinks 56.4 53 62.8 53.7
384 PR_Couture 56.4 62.8 59.4 53.6
385 geekpage 56.4 56.5 54.9 46
386 dberkowitz 56.3 59.4 64.9 43.1
387 stedavies 56.3 54 63.7 45.8
388 imhassan 56.3 47.7 53.2 49.4
389 jeff 56.3 59.2 38.4 51.1
390 ValerieSimon 56.2 55.3 51.5 55.1
391 willfrancis 56.2 70.6 42.7 46
392 hpnews 56.2 62.7 37.1 49.8
393 MicrosoftPress 56.2 60.7 50 56.2
394 hisa_kami 56.2 56.4 52.3 40.3
395 CAmorales 56.1 48.5 67.5 51.1
396 cnetuk 56.1 58.4 9.7 49.8
397 mtrends 56 55.1 44.1 48.1
398 jasonkincaid 56 56.7 51 43.8
399 markevans 56 55.4 41 50.2
400 psmith 56 49.6 52.9 48
401 furrier 56 57.1 46.1 46.9
402 sarahintampa 56 58.3 52.1 45.7
403 svartling 56 58.1 42.9 46.9
404 nixxin 56 49.2 59.1 46.4
405 shamir 56 69.4 42.9 45.7
406 chrisheuer 56 61.1 47.4 44.7
407 ekolsky 56 48.6 57.4 50
408 bre 55.9 59.7 40.9 44.1
409 jkottke 55.9 68.4 45.2 51.9
410 patrick 55.9 55.9 47.4 50.7
411 micah 55.9 58.7 55.5 44.5
412 CiscoSystems 55.9 66 49.6 55.6
413 shoinoue 55.8 45.9 61 44.6
414 johnbiggs 55.8 53.8 47.5 45.4
415 rafatali 55.7 54.4 40.8 50
416 markdavidson 55.7 70.8 57.6 41.4
417 EverythingMS 55.7 59.7 8 58.7
418 joystiq 55.6 64.8 6.7 50.2
419 TapTapRevenge 55.6 61.2 74.6 53.5
420 pandemia 55.6 61.1 35.1 49.6
421 AndrewWarner 55.5 63.2 57.5 51.5
422 stuartbruce 55.5 52 45.7 49.6
423 bijan 55.5 58.7 43.5 44.5
424 webdicas 55.5 69.4 44.5 46.6
425 JoeTrippi 55.5 90.3 40 53.9
426 heathermeeker 55.4 55.9 57.1 42
427 elizabethsosnow 55.4 55.2 54.8 44.8
428 gray_ru 55.3 54.6 51.7 47
429 Boris 55.3 59.8 45.8 54.9
430 peterrojas 55.3 61.9 56.6 45.3
431 labnol 55.3 59.3 55.3 43.3
432 SoldierKnowBest 55.2 61.7 48.5 54.2
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892 CandaceKuss 46.5 49.4 44.9 38.8
893 CarbonHeart 46.5 70.4 38.3 42.6
894 LJRICH 46.5 52.7 43 36.6
895 al3xandru 46.5 52.6 45.2 31.5
896 JordanBrown 46.4 62.9 59.8 37.3
897 OneRiot 46.4 58.3 9.3 37
898 waxpancake 46.4 56.8 40.8 32.8
899 SteveLevine1 46.4 66.9 38.7 35.4
900 ThePeterHa 46.4 49.6 49.1 39.5
901 dmac1 46.3 53 38.4 34.4
902 tebbo 46.2 44.2 54.4 34.2
903 ahoppin 46.2 50.5 40.5 34.3
904 Square 46.2 62.6 58 44.5
905 abnerg 46.2 47.3 8 36.5
906 lehawes 46.2 45.9 51.1 27.5
907 cmooreforrester 46.2 45.6 43.3 38.8
908 bensoebiakto 46.2 36.8 38.1 42.6
909 AmandaSena 46.2 54.3 49.5 36.4
910 marissamayer 46.1 65.6 52 43.4
911 eldon 46.1 52.2 42.6 31.3
912 ghostexecutive 46.1 50.7 39.7 29.4
913 abbielundberg 46.1 52.2 8.3 30.4
914 msullivan 46.1 48.9 8.3 37
915 wroush 46.1 48.3 36 37.1
916 ceoworld 46.1 60.5 10 33.6
917 davelee 46.1 52.4 49.9 28.4
918 EdelmanHR 46.1 50.3 49.6 38.8
919 jaykeith 46 43.3 54.6 28.9
920 googlebrasil 46 61.8 27 48.9
921 techno_news 46 55 9 33.6
922 drimington 46 62.4 40 27.9
923 shaneschick 46 44.5 36 36.8
924 WhenGrowthStall 46 57.9 53.7 37
925 Frauenfelder 46 59.3 41.5 44.6
926 AndiMann 46 48 51.7 37.3
927 stephenodonnell 45.9 59.9 48.9 29.2
928 BobMetcalfe 45.9 52.6 32 43.2
929 aspirationtech 45.9 81.6 44.1 41.6
930 Toronto_PR_Guy 45.9 48.8 50.1 38.4
931 kmburnham 45.8 46.5 43.3 33.6
932 johnlovett 45.8 47.3 51.9 36.3
933 fiberguy 45.8 42.2 45.8 35
934 nahars 45.8 67.2 10 38.4
935 jordanstone 45.8 45.9 40.7 33.4
936 rickwray 45.8 50 50.2 31
937 waworld 45.7 51.6 35.2 35.9
938 BravoPR 45.7 54.7 45.4 40.5
939 MSSurface 45.7 53.8 59.6 40.3
940 cnet_j 45.7 51.9 0 38.3
941 timberners_lee 45.7 64.6 43.2 46.2
942 vealmince 45.6 42.6 57.1 30.2
943 gilbane 45.6 49.9 40.2 38.8
944 StoryAssistant 45.6 53 58.5 34.4
945 Mark_Mulligan 45.6 51.4 45.9 38.9
946 joshu 45.6 56 47.7 27.2
947 iglazer 45.6 43.2 48.8 33.3
948 CBSitweets 45.6 48.3 40 37.9
949 aramadge 45.6 45.9 49.5 33.5
950 montemagno 45.6 59.4 5.7 32.7
951 Vonage_Voice 45.6 52.8 67.8 33.2
952 FCC 45.5 82.6 3.3 49.5
953 pdouglas 45.5 42.9 55.4 33.3
954 parnellk63 45.5 57.6 42 25.5
955 pingfm 45.5 60.8 50.3 26.5
956 jeffsommer 45.5 43.8 31.1 37.7
957 venturaE 45.5 38.9 48.3 38.8
958 RetiredTeacherD 45.5 66 47.2 28.8
959 sonny_h 45.4 39.2 46.8 35.9
960 dangrabham 45.4 45 55 28.9
961 tseelig 45.4 50.9 36.7 37.9
962 FierceBiotech 45.4 49.8 33.9 41.8
963 elatable 45.3 57 39.6 34.9
964 rgruia 45.3 48 39.4 37.8
965 andreascon 45.3 45.4 37.9 40.5
966 susanmernit 45.3 53.6 8.7 28.7
967 dankeldsen 45.3 55 9 29.4
968 paultoo 45.3 56.3 5 33.1
969 chrisgreen 45.2 48.4 50.9 27.4
970 arnoldkim 45.2 56.3 43.2 27.5
971 JohnBorthwick 45.2 54.7 40.1 39.7
972 johnrrymer 45.2 47.3 39.3 40
973 cmendler 45.2 45.2 51.7 33.6
974 RickMacMerc 45.2 52.2 52.9 33
975 schillmoeller 45.2 43.2 54.9 33.1
976 ryanlawler 45.1 47.3 37.5 29.9
977 Xtel 45.1 49.8 47.8 33.5
978 CakeGroup 45.1 51.6 38.3 43.6
979 storageio 45.1 46.8 54.7 27.2
980 billtrippe 45.1 47.5 38.7 34.8
981 JEBworks 45 49.1 48 34.9
982 veriserpa 45 44.3 6.3 35.9
983 raxlakhani 45 58.8 56.5 25.6
984 LGdobrasil 45 55.4 63 30.6
985 plancast 45 45.9 69.7 26.3
986 Jamesholland 45 43.3 54.7 35.7
987 CERN 45 76.5 3.3 53.2
988 TelecomTalk 45 45.3 39.3 41.7
989 sarahcuda 45 64.1 38.5 26.7
990 maslett 44.9 41.7 43.1 38
991 rubbishcorp 44.9 43.4 5.7 37.5
992 MiaD 44.9 50.2 57.4 33.7
993 fedcomputerweek 44.9 47.3 7.7 35.9
994 IdentityWoman 44.9 52.1 41.5 35.3
995 programmableweb 44.8 51.3 2 38.9
996 lostremote 44.8 48.6 32.4 40.2
997 john_chilmark 44.8 49.2 43.4 27.1
998 dottavi 44.7 59 40.6 36.6
999 JoeHobot 44.7 69.3 50.3 29.1
1000 sonymusic 44.7 63 36.1 27.3

Algorithm and Methodology

tmp9CD 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.

Twitter Lists – TweetLevel calculates the number of times someone is included in a twitter list and the corresponding value of that list (as determined by the number of people following it. 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.

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.

Capturing the data.

The Twitter profiles for this survey were obtained by extensive internet-based research and submissions following a call to action in January to submit technology Tweeters to the list. Obviously, a list like this is dynamic and there are bound to be omissions or the odd errant addition. We encourage you to send any anomalies our way so we can continue to improve the quality of our data in this. Likewise, please send suggestions for inclusion.

Common complaints

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

1. This twitter account is someone who I would regard as being in technology.
The argument as to who is a technologist or not is largely moot. In our opinion if someone is actively talking about technology on Twitter – regardless of whether it’s their day job or not, then that qualifies them for inclusion. We know this will cause a huge amount of disagreement but as an outsider looking in this is the way we see it. This will doubtless lead to issues around non-technology Tweeters (Stephen Fry for example) ranking above more well known technology journalists or brands. But this surely serves to raise the issue of who is considered influential and if it sparks debate and discussion then it’s definitely a good thing.

2. The twitter handle is a brand or written by multiple authors.
We took the decision from the start that technology brands should be included along with individuals. Indeed, it’s the core tenet of our article around brands getting more savvy using the platform. The merits of a single twitter account author allows understanding of the tone of author without having to understand the many personalities that are associated with it but as the results of the survey have shown, brands are moving up the rankings so it would be nonsensical to exclude them and by planning them into context alongside individual Tweeters again debate and discussion is encouraged.

3. Hey – you have forgotten to include this list.
Please let me know the name and we will include it as an edit.