Faculty Scholarly Dissemination Grants

Title

Community Finding within the Community Set Space

Department

School of Computing and Information Systems

College

Padnos College of Engineering and Computing

Disciplines

Engineering

Abstract

Community finding algorithms strive to find communities that have a higher connectivity within the communities than between them. Recently a framework called the community set space was introduced which provided a way to measure the quality of community sets. We present a new community finding algorithm, CHI, designed to minimize the violations defined by this framework. It will be shown that the CHI algorithm has similarities to means. It is flexible and fast and can also be tuned to find certain types of communities. It is optimized for the community set framework and results so that it performs better than other algorithms within that framework.

Conference Name

SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference Location

Chicago, Ill

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