Pheromone base swarm approach for Detecting articulation user node in social networking

Modern world is living in the `aeon´ 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, it may seem that there is some user which is common among many communities. These user node is a kind of `social articulation points (SAP)´ which is like a bridge between communities. In this paper with the help of `ant colony optimization´ (ACO) we are proposing `pheromone based swarm approach for articulation user´ (PSAP) to find articulation user point in a social network. ACO is 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.