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Non-Conservative Diffusion and its Application to Social Network Analysis
[article]
2011
arXiv
pre-print
The random walk is fundamental to modeling dynamic processes on networks. Metrics based on the random walk have been used in many applications from image processing to Web page ranking. However, how appropriate are random walks to modeling and analyzing social networks? We argue that unlike a random walk, which conserves the quantity diffusing on a network, many interesting social phenomena, such as the spread of information or disease on a social network, are fundamentally non-conservative.
arXiv:1102.4639v3
fatcat:y4jkhzuktrg5fcsgu775dt2lpm