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. 2009 Feb 6;323(5915):721-3.
doi: 10.1126/science.1167742.

Social science. Computational social science

David Lazer  1 , Alex Pentland, Lada Adamic, Sinan Aral, Albert-Laszlo Barabasi, Devon Brewer, Nicholas Christakis, Noshir Contractor, James Fowler, Myron Gutmann, Tony Jebara, Gary King, Michael Macy, Deb Roy, Marshall Van Alstyne
Affiliations

Social science. Computational social science

David Lazer et al. Science. .
No abstract available

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Figures

Figure 1
Figure 1
This figure summarizes the link structure within a community of political blogs (from 2004), where red nodes indicate conservative blogs, and blue liberal. Orange links go from liberal to conservative, and purple ones from conservative to liberal. The size of each blog reflects the number of other blogs that link to it (10).
Figure 2
Figure 2
The location (after adding randomized synthetic noise) of several hundred mobile devices in the city of San Francisco. Each location is color coded to indicate which of 8 “tribes” (or social clusters) each user belongs to. Tribes are computed by clustering (otherwise anonymized) users according to how similar their movement patterns are over a few weeks. The movement analysis is performed using the Minimum Volume Embedding algorithm (7, 8, 24)
Figure 3
Figure 3
Patterns of email (blue) and face-to-face communication (read) within a German bank over a period of one month. Productivity and information overload is correlated with the sum of both types of communication, but not with either alone (25)
See this image and copyright information in PMC

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