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

Statistics for the structure and time-evolution of a large, complex, evolving, real-world network is presented. The data comes from the communication flow in an Internet community of around 25 000 users with user activity logged for about 500 days. The vastness and precise time resolution of an Internet community offers unique possibilities to monitor social network formation and dynamics. The data allows us to study the dynamic process during an extended period of time compared to previous studies. Time evolution of well-known quantities, such as clustering, mixing (degree-degree correlations), average geodesic length, degree, and reciprocity is studied. The effective sampling time is long enough for most of these measures to converge. In contrast to earlier analyses of scientific collaboration networks, mixing between vertices is found to be disassortative. Furthermore, both the evolutionary trajectories of the average geodesic length and of the clustering coefficients have minima.