Abstract:
Nowadays Social Network analyses are receiving a lot of attention for researchers. By knowing the knowledge of social network, it can be applied in many application areas such as co-author finding, research group finding, friendship finding, terrorism finding, etc. All these tasks are based on frequent sub-graph patterns, graph classification, clustering and other techniques. This system intends to provide social network services(SNS) for online community social site. Firstly, framework for SNS is described. Then a prototype for social network is constructed to evaluate the efficiency of our framework. Secondly, methods and techniques used in framework are detail explained. Social network members with similar features are mined using k-means clustering algorithm to provide find friend facility. Finally, suggestion friends list are provided by mining frequent itemset (person) using vertical data format approach.
