My favorite application using eigenvalues: partitioning and community detection in social networks
نویسنده
چکیده
Social networks are often organized into families, friendship groups, and institutional bodies. However, this organization, functional groups of friends and acquaintances especially, may not always be apparent from the characteristics of the individuals or from global measures of network structure. Community detection methods provide a means to identify cohesive and/or inter-dependent clusters of individuals. In this paper, I review traditional methods to cluster and partition vertices, along with a recent community detection method, modularity maximization, that is more intuitively appealing in many research areas. I focus in particular on the spectral solutions to these problems that have advanced and/or expanded their use in real world applications.
منابع مشابه
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