This document discusses using social media analytics to understand scholarly impact and influence. It presents different layers of influence including academic literature, media mentions, social media connections, and search engine results. It also discusses identifying interest groups on social media through hashtags, lists, and shared links. Finally, it proposes ways to analyze external perceptions of an individual or group through their followers and friends on social media.

2. Hands-On Social Media Analytics Tony Hirst Dept of Communication and Systems, The Open University Scattered puzzle pieces next to solved fragment by HoriaVarlan

3. Jigsaw pieces… …or disconnected threads?

4. Chris Messina : Blogging is just email, but with like, you know, a “to everyone” email address Twitter is SMS, to everyone Co-opting channels that were private and making them public, that’s all these things are http://www.youtube.com/watch?v=IrTSiO9ejOs

5. Goodhart’s Law … states that once a social or economic indicator or other surrogate measure is made a target for the purpose of conducting social or economic policy, then it will lose the information content that would qualify it to play such a role. Ref: Wikipedia

6. Campbell’s Law "The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruption pressures and the more apt it will be to distort and corrupt the social processes it is intended to monitor." Ref: Wikipedia

7. Hidden secrets

8. Hidden secrets

9. Scholarly impact is typically based on:f(citations)

10. Citations g(influence, support)

11. Influence h(reach, authority)

12. Impact j(ability to affect others’ behaviour)

13. Influencing Forward: Discovery Layers Academic literature/citation graph Media layer – press mentions Social layer –connectivity (blog vs twitter) Search engine layer (page rank, timeliness) Social Media supports a Responsive Layer

14. Social Media *.ac.uk domain Inside vs. Outside Access

16. Influential friends…

17. http://www.coursedetective.co.uk/

18. Inside vs. Outside Access APIs & OAuth

19. Build Your Own Dashboard …Google Spreadsheets.. Offer patronage to @mhawksey and he’ll show you how…;-)

21. External Perceptions: How Does Your Audience Define You? Friends and followers communities…

22. @briankelly followers

23. Friend connections amongst @jisccetis friends

24. @jisccetis list intelligence

25. @jisccetis list intelligence

26. How folk on similar Twitter lists to @jisccetis follow each other

27. http://bit.ly/eBgyPn

28. @briankelly/ukoln-eim-2011-07

29. @briankelly/ukoln-eim-2011-07

30. List Intelligence /briankelly/ukoln-eim-2011-07 Candidate members: 23 Subscribers: 1 /helenwhd/e-learning Candidate members: 8 Subscribers: 30 /mhawksey/open-edge Candidate members: 6 Subscribers: 7 /mhawksey/ds106 Candidate members: 6 Subscribers: 18 /traceymadden/education Candidate members: 6 Subscribers: 1 /mhawksey/lak11 Candidate members: 6 Subscribers: 32 /ActualAl/elearning Candidate members: 5 Subscribers: 5

31. blog.ouseful.info@psychemedia