RightRelevance helps find key topics, top influencers in Big Data, Data Science, and Beyond
RightRelevance leverages the social web to find key topics and top influencers in many areas, from Big Data to emergency medicine. We use it to identify top influencers in Big Data, Data Science, and Data Mining.
Comparing with Data Science list we see a large overlap with Data Science and most ranking are similar. Both are led by rock star Data Scientist Hilary Mason.
Those with higher Data Science influence are
- dj patil (we could not find his entry for data mining )
- Chris Dixon
- danah boyd
- Mike Bostock
- Doug Laney
- Michael E. Driscoll
- Mike Gualtieri
- Werner Vogels
While those with higher Data Mining influence are
- Nathan Yau
- Peter Skomoroch
- Gregory Piatetsky
- Ben Lorica
- O'Reilly Strata
- Drew Conway
- Monica Rogati
- David Smith
- Merv Adrian
- Tableau Software
- Claudia Imhoff
- Ryan Rosario
- Andy Kirk
- Jure Leskovec
- Edward Tufte
Here is a combined list of top 30 Data Science and Data Mining Influencers.
In few cases when influence for that topic was not found (shown in gray and italics), we put a value of 5 less than the lowest influence for any topic for that person).
Table 7. Top 30 Data Science/ Data Mining Influencers
N | Name | Followers | Data Science Influence | Data Mining Influence | DS/DM avg influence | |
1 | Hilary Mason | @hmason | 59,551 | 98 | 98 | 98 |
2 | Nathan Yau | @flowingdata | 47,950 | 93 | 95 | 94 |
3 | Jeff Hammerbacher | @hackingdata | 22,055 | 93 | 93 | 93 |
4 | Peter Skomoroch | @peteskomoroch | 24,124 | 92 | 94 | 93 |
5 | Gregory Piatetsky | @kdnuggets | 36,636 | 91 | 93 | 92 |
6 | Ben Lorica | @bigdata | 25,980 | 91 | 92 | 91.5 |
7 | Kirk Borne | @kirkdborne | 34,394 | 91 | 91 | 91 |
8 | Big Data Science | @analyticbridge | 96,377 | 90 | 90 | 90 |
9 | Doug Laney | @doug_laney | 29,472 | 90 | 89 | 89.5 |
10 | Drew Conway | @drewconway | 13,320 | 89 | 90 | 89.5 |
11 | O'Reilly Strata | @strataconf | 25,165 | 89 | 90 | 89.5 |
12 | Mike Gualtieri | @mgualtieri | 46,831 | 89 | 88 | 88.5 |
13 | Monica Rogati | @mrogati | 13,818 | 88 | 89 | 88.5 |
14 | John Myles White | @johnmyleswhite | 12,738 | 88 | 88 | 88 |
15 | David Smith | @revodavid | 15,796 | 87 | 89 | 88 |
16 | Claudia Imhoff | @claudia_imhoff | 17,393 | 86 | 89 | 87.5 |
17 | Ryan Rosario | @datajunkie | 11,489 | 86 | 89 | 87.5 |
18 | Merv Adrian | @merv | 20,361 | 87 | 88 | 87.5 |
19 | Tableau Software | @tableau | 59,683 | 86 | 89 | 87.5 |
20 | Eric Kavanagh | @eric_kavanagh | 45,148 | 87 | 87 | 87 |
21 | Jure Leskovec | @jure | 11,857 | 82 | 92 | 87 |
22 | IBM Big Data | @ibmbigdata | 83,224 | 87 | 86 | 86.5 |
23 | Andy Kirk | @visualisingdata | 19,989 | 85 | 88 | 86.5 |
24 | Rick Sturm | @rick345 | 15,383 | 86 | 86 | 86 |
25 | danah boyd | @zephoria | 109,376 | 90 | 82 | 86 |
26 | Bernard Marr | @bernardmarr | 83,129 | 86 | 85 | 85.5 |
27 | Werner Vogels | @werner | 70,849 | 88 | 83 | 85 |
28 | dj patil | @dpatil | 27,495 | 92 | 77 | 84.5 |
29 | Mike Bostock | @mbostock | 29,960 | 90 | 75 | 82.5 |
30 | Edward Tufte | @edwardtufte | 53,459 | 75 | 89 | 82 |
Finally, we combined Big Data, Data Mining, and Data Science in one table, ranked by a combined score = Big Data influence + (Data Mining + Data Science influence)/2.
Table 8. Top 30 Big Data, Data Science, and Data Mining Influencers
N | TwitterFollowers | Big Data influence | Data Science Influence | Data Mining Influence | Combined score | |
1 | @hmason | 59,551 | 96 | 98 | 98 | 194 |
2 | @hackingdata | 22,055 | 92 | 93 | 93 | 185 |
3 | @kirkdborne | 34,394 | 94 | 91 | 91 | 185 |
4 | @flowingdata | 47,950 | 91 | 93 | 95 | 185 |
5 | @doug_laney | 29,472 | 95 | 90 | 89 | 184.5 |
6 | @mgualtieri | 46,831 | 96 | 89 | 88 | 184.5 |
7 | @kdnuggets | 36,636 | 92 | 91 | 93 | 184 |
8 | @peteskomoroch | 24,124 | 91 | 92 | 94 | 184 |
9 | @bigdata | 25,980 | 92 | 91 | 92 | 183.5 |
10 | @analyticbridge | 96,377 | 91 | 90 | 90 | 181 |
11 | @merv | 20,361 | 93 | 87 | 88 | 180.5 |
12 | @eric_kavanagh | 45,148 | 93 | 87 | 87 | 180 |
13 | @strataconf | 25,165 | 90 | 89 | 90 | 179.5 |
14 | @claudia_imhoff | 17,393 | 91 | 86 | 89 | 178.5 |
15 | @ibmbigdata | 83,224 | 92 | 87 | 86 | 178.5 |
16 | @rick345 | 15,383 | 92 | 86 | 86 | 178 |
17 | @bernardmarr | 83,129 | 92 | 86 | 85 | 177.5 |
18 | @werner | 70,849 | 92 | 88 | 83 | 177.5 |
19 | @zephoria | 109,376 | 91 | 90 | 82 | 177 |
20 | @tableau | 59,683 | 89 | 86 | 89 | 176.5 |
21 | @dpatil | 27,495 | 91 | 92 | 77 | 175.5 |
22 | @drewconway | 13,320 | 86 | 89 | 90 | 175.5 |
23 | @mrogati | 13,818 | 87 | 88 | 89 | 175.5 |
24 | @revodavid | 15,796 | 87 | 87 | 89 | 175 |
25 | @jure | 11,857 | 86 | 82 | 92 | 173 |
26 | @johnmyleswhite | 12,738 | 84 | 88 | 88 | 172 |
27 | @visualisingdata | 19,989 | 85 | 85 | 88 | 171.5 |
28 | @datajunkie | 11,489 | 84 | 86 | 89 | 171.5 |
29 | @edwardtufte | 53,459 | 89 | 75 | 89 | 171 |
30 | @jameskobielus | 17,048 | 93 | 88 | 64 | 169 |
We also visualized the top 30 influencers in Tableau , with Y axis showing an average DM/DS influence and X axis showing Big Data influence.
Fig. 3: Big Data and Data Mining/Data Science top influencers.
Color is red if influence is higher in DM/DS topics, blue if in Big Data topics, and grey if equal . Circle size corresponds to the number of twitter followers.
Related:
- 10 Predictive Analytics Influencers You Need to Know
- InformationWeek 10 Big Data Pros To Follow On Twitter
- Top Big Data influencers of 2014, according to HadoopSphere