Design and Analysis of Perspectives in Social Theory for Directed Signed Social Networks
Keywords:
signed social networks, in-degree, out-degree, directed graph, Overlapping Community, Directed signed social networks, Undirected signed social networks.Abstract
In today’s era most people use social platforms or social media to share their views or ideas for their business purposes or to promote their product. Since past decade there is exponential growth in the of social networks. We have focused on the social balance and status theory in the signed social networks. In SSNs lot of researchers has explored or incorporated the concept of social balance theory to enhance the community detection problem. But social balance theory is more appropriate in UDSSNs not for DSSNs. To reduce or overcome this problem we have incorporated the concept of social status theory in which direction of ties are considered as not possible in undirected signed social networks. In SSNs we have used many metrics in terms of mathematical analytical tool to compute the values of each node or high degree of each node using real-world dataset. So, in SSNs the highest value or degree of each node in overlapping communities has the high social status as well as highly influencers node in the directed signed social networks. By using these metrices we can achieve the social status or highly influencers node which explore the behaviors of each node or people in the directed signed social networks.
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