چكيده به لاتين
Abstract:
Thoday, Social networks are changing how we interact and share information between individuals and organizations.
One of the goals of social network analysis , the identification of persons in the network. The topic identifies the individuals under the name issue of influence in the social network review and its definition is: select a set of people in the network , so that will have the greatest impact among people and cause the relase of every process boardcast.
In the world of the web, especially social networking, news and events are an important role between individuals and can effect the Group and in this bunch of people who are members of its followers are high credit and also he confirmed and any news or events that share, he will also share it and so more social networking expands.
One of the methods that can be effective in people’s social networks is searched for the people who create the graph in the form of nodes and connections between these people for the link.
In the field of social networking , the importance of nodes to the “center” is dependent.the centrality calculated in different ways in different environments and applications.
In this case the centrality indices such as degree centrality, betweenness centrality, closeness centrality and local centrality and so on. Each of the parameters have a special role of centrality in social networks. In fact , this central are based on different aspects on the properties and the nodes are often in conflit with each other. In yhis thesis after styding the methods of centrality measures, linear and polynomial model a new method is proposed based on Fourier series the proposed method that all problems could be resolved.
Keywords: Influence people, Centrality metrics, Fourier Series
