Modeling social network topology with variable social vector clocks

Abstract

Analyzing social network structures can provide an insight into the character of human interactions and communication mechanisms for solving a variety of social problems. By applying variable social vector clocks and involving weight evolution influence, we construct a coupled-weight and directed link generation algorithm for modeling a social topology in a closed social group. The degree and weight strength distributions of simulation topologies demonstrate the scale-free properties and effectiveness of weight diffusion in the real world.