Coevolution of Network Structure and Content

Details Coevolution of Network Structure and Content Coevolution of Network Structure and Content

2011-07-27

arxiv.org/abs/1107.5543v1

Computer Science

Social and Information Networks

10 pages, 10 figures

Scientific paper

As individuals communicate, their exchanges form a dynamic network. We demonstrate, using time series analysis, that network structure alone can be highly revealing of the diversity and novelty of the information being communicated in the network. Our approach uses both standard and novel network metrics to characterize how unexpected a network configuration is, and to capture a network's ability to conduct information. We find that networks with a higher conductance in link structure exhibit higher information entropy, while unexpected network configurations can be tied to information novelty. The results point to a close correspondence between the evolution of a network's structure and the information it carries.

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