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.
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Social mediaanalytics lite
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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
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