Toward Better Community Protection using a Connection-Recommendation Mechanism on Distributed Social Networks

Abstract

We propose an implementation of a mechanism to preserve the populations of a community on distributed social networks which is suffering from a network collapse. We prepare 5 different algorithms and tested the algorithms in 4 different types of networks by the simulation. The results show that these algorithms can maintain the population in a network. Hence these results show that each algorithm has its suitable network structures, we can choose a suitable algorithm by determining the structure in the network.