Visual Matrix Clustering of Social Networks

Autor:	Pak Chung Wong, Patrick Mackey, Harlan P. Foote, Richard May
Rok vydání:	2013
Předmět:	Theoretical computer science Social network business.industry Computer science Graph theory Computer Graphics and Computer-Aided Design Graph Adjacency list Pairwise comparison Adjacency matrix business Cluster analysis Software MathematicsofComputing_DISCRETEMATHEMATICS Clustering coefficient
Zdroj:	IEEE Computer Graphics and Applications. 33:88-96
ISSN:	0272-1716
Popis:	The prevailing choices to graphically represent a social network are a node-link graph and an adjacency matrix. Both techniques have unique strengths and weaknesses for different domain applications. This article focuses on how to change adjacency matrices from merely showing pairwise associations among network actors (or graph nodes) to depicting clusters of a social network. Node-link graphs supplement the discussion.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3ecfba1ff459c342d0dcb7e74cabe4c https://doi.org/10.1109/mcg.2013.66 Zobrazit plný text záznamu