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April 24, 2008

Four Challenges in Social Network Analysis

There are plenty of papers here at WWW 2008 which touch on some form of (social) network analysis. I see three challenges emerging in this space:

  • Overlapping community analysis - many approaches to deriving communities from the larger graph assume that the communities are distinct. This is convenient by not intuitive (consider the different circles of friends that you move in). Lada pointed me to some work in this area by Palla et al.
  • Edge semantics - much work assumes a single relation (and often a single weight) is represented by the edges in the graph. Again, this is convenient but not intuitive. Even the links within the work place are different (a colleague with whom you work closely versus a person that you work with due to organizational structure).
  • Modeling edge creation/maintenance cost - the cost of creating a link in the real world is far higher than creating one in an online social network (one or two clicks). How can graph models include this aspect?
  • Cross network analysis - many data sets that are explored in this space come from a single source. This may be an IM system, an online social network (e.g. facebook, myspace, etc.) However, if we consider the links between different networks, and even different types of networks, I believe we will observe some powerful features. For example, consider links from Usenet to the blogosphere, links between tweets and news articles, etc.

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About overlapping communities, check out http://aps.arxiv.org/abs/0803.1628

Similar methods also adapt easily to heterogeneous edges, and we have a paper about combining network information with vertex properties submitted (not available yet, but maybe in MLG'08).

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