Social Attention analysis
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Social Attention analysis



This analysis measures the attention of each member of a community or a social network by quantifying over the time: ...

This analysis measures the attention of each member of a community or a social network by quantifying over the time:

* the attention the network has for a member (who pays attention to me)
* the attention the member have for his or her network (the people to whom I pay attention)



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Social Attention analysis Presentation Transcript

  • 1.
    • Basic social attention analysis
    Nicolas Maisonneuve , Research Associate Centre for Advanced Learning Technologies, INSEAD Context: European research project Tags: Social attention, social network/community, attention metrics, impact , focus, influence, The 1rst of September 2007
  • 2. Social Attention analysis
    • Objective: measuring the attention the people pay to each others over the time.
    Influence /impact : - Who paid attention to me the most (over the time) ? - To whom did I pay attention the most (over the time) ? - Charisma / social Isolation: Do I have a good influence ratio (attention received)/(effort put,participation) ? social diversity: - Is the people who paid attention to are diversified (i.e. from different fields) ? - Is my social attention diversified?
    • social focus (audience): focus/orientation strategy
    • Is the people who paid attention to me are less and less numerous ?
    • Am I paying attention to less and less people? /
  • 3. Social Attention analysis Social space (element of attention = user) (other possibilities in a community: element of attention= concept/resource shared)
  • 4. Social Attention analysis
    • Studying the evolution over the time of 2 phenomena
    • (I’m user2)
  • 5. Social Attention analysis
    • Notion & metrics
    • Intensity of the Attention Received
    • Intensity of the user’s B attention to user’s A
    • During [t1, t2]
    • = Numbers of actions done by B related to A Example: B viewed and replied to A’s message  I B->A ([t1,t2]) =2
    • (todo: add notion of engagement: weight(reply)>weight(view) )
    • 2) Intensity of the Attention Attracted (nimbus) :
    • the number of actions the user A dedicates to attract the other’s attention (e.g. in a community = number of messages posted)
  • 6. Resource Activity analysis
    • User experience: Applet widget + server public API
  • 7. Next Step… maybe Social Attention Analysis - improving the value for the end-user (add new indicators e.g. influence ratio) - Change of space (social space-> concept space) - Analysis of the evolution of the concepts manipulated by the users - (Are the community’s activity also related the same concepts or does the community is evolving in new direction? ), ( stability of the community ) -(visualization of the attention networks evolving over the time)