Exploring community structure in biological networks with random graphs
Community structure is ubiquitous in biological networks. There has been an increased interest in unraveling the community structure of biological systems as it may provide important insights into a system’s functional components and the impact of local structures on dynamics at a global scale. Choosing an appropriate community detection algorithm to identify the community structure in an empirical network can be difficult, however, as the many algorithms available are based on a variety of cost functions and are difficult to validate. Even when community structure is identified in an empirical system, disentangling the effect of community structure from other network properties such as clustering coefficient and assortativity can be a challenge.
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Singh, Lisa (2007)As we become a more 'connected' society, a greater need exists to understand complex network structures. While many in the field of data mining analyze network data, most models of networks are straightforward-focusing on ...
A Bill to Establish a Program for Developing Networks of Community-Based Services to Prevent Initial and Repeat Pregnancies Among Adolescents, to Provide Care to Pregnant Adolescents, and to Help Adolescents Become Productive Independent Contributors to Family and Community Life Unknown author (United States. Congress. Senate, 1978)