Structure and Time-Evolution of the Internet Community pussokram.com

In contrast to earlier analyses of scientific collaboration networks, mixing between vertices is found to be disassortative and both the evolutionary trajectories of the average geodesic length and of the clustering coefficients have minima.

Abstract

We present statistics for the structure and time-evolution of a network constructed from user activity in an Internet community. The vastness and precise time resolution of an Internet community offers unique possibilities to monitor social network formation and dynamics. Time evolution of well-known quantities, such as clustering, mixing (degree-degree correlations), average geodesic length, degree, and reciprocity is studied. In contrast to earlier analyses of scientific collaboration networks, mixing by degree between vertices is found to be disassortative. Furthermore, both the evolutionary trajectories of the average geodesic length and of the clustering coefficients are found to have minima.