IRJET - Exploring Agglomerative Spectral Clustering Technique Employed for Social Network Community Detection, A Survey

1) The document discusses agglomerative spectral clustering, a technique for detecting communities in social networks. It projects nodes into an eigenvector feature space to define node similarity, then agglomerates similar nodes into communities. 2) Conductance is used as a termination criterion, where nodes are agglomerated only if it improves conductivity between the node and candidate community. This process iterates until no further agglomerations are possible. 3) The method is more accurate and efficient than other spectral clustering approaches, and is well-suited for real-world social network analysis due to its use of edge weights to differentiate similar projections.