Real world lives in the 'Aeon' of virtual connectivity; social network is a platform where people share emotions, activities, relation etc. Second generation online social networking online comes in existence with service-oriented environment, In which lots of service requester and service provider, connect to each other with many different paths. Among 'N' number of path finding a trust path for trustworthy services is major task. In this paper with the help of ant colony optimization (ACO) we are calculating trust path, trust cycle. Hence we are proposing an algorithm (Trust-ACO) to calculate trust in online social network. Trust calculation is based on probabilistic trust rule, social intimacy pheromone.

No abstract

No abstract

No abstract

We are living world of virtual community, where people connect to each other through any kind of relationship. Social networking is platform where people share emotions, activities, area of interest etc. Communities in social network are deployed in user nodes with connecting people, second generation social network come in existence lot of emerging application which create service oriented environment, this paper is summarization of ant colony optimization with social networking, which is a growing discipline .Ant take decision with the help of special type of chemical "pheromone'. Base on this concept ACO meta-heuristic which helps to solve combinational problems such as TSP, Graph color, job shop Network routing, machine learning etc. Hence social networking may be a new platform with ant colony optimization, to solve complex task in social phenomena.