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Office: E555 CSE Building CISE Department University of Florida Gainesville, FL 32611, US. Phone: (352) 392-1159 Email: tdinh (at) cise (dot) ufl (dot) edu |
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Community Structures
Community structure is defined as a subgraph such that there is a higher density of edges within the subgraph than between them. This has applications in many domains, not only in computer networks, but also in computational biology, social research, life sciences and physics. Being able to identify these communities could help us to understand and exploit the networks more effectively. It also helps to reveal the hidden structure of complex networks. In addition, community structure can be used as a graph-based model to present the relationship of concepts in different domains or to identify the virtual organization. Objectives: Develop mathematical models and efficient approximation algorithms to determine the community structure of a given network; handle the dynamic and evolution of community structures; develop a weighted directed graph-based model to better represent the network and its properties, such as context-dependent dynamic relationship. Analysis of Large and Dynamic NetworksDynamic network analysis is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA) and multi-agent systems (MAS). There are two aspects of this field. The first is the statistical analysis of DNA data. Objective: Develope algorithms to analyze large and dynamic networks like World Wide Web Networks, Network of collaboration, .etc |
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