A link prediction in social networks: A fuzzy cognitive map approach

Abstract

The social networking Web sites are a very common way to make the associations between the entities. To evaluate the structure of the complex social network is a very tedious task due to a large number of variable parameters. The online social networks are very dynamic as the new links and nodes are added with time. The link prediction is an important aspect of social network analysis. In this paper, we analyze the links/relationships between the nodes and assign the weight to the links/relationships in the network. We proposed fuzzy cognitive map approach for link prediction in social networks. We implemented the proposed technique on two real datasets, and the experiment shows that the strength/weight of the link has positive role for link prediction accuracy.