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Title:
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EVALUATING ASSOCIATIONS BETWEEN COMMUNITIES IN SOCIAL NETWORKS |
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Author(s):
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Krista Rizman alik |
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ISBN:
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978-989-8533-25-8 |
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Editors:
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Hans Weghorn |
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Year:
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2014 |
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Edition:
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Single |
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Keywords:
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Data mining; Clustering; Community detection; Between-communities relationships. |
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Type:
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Full Paper |
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First Page:
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151 |
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Last Page:
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158 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Uncovering natural groups of similar objects, called also clusters or communities in social analysis, is an important task in modern data analysis. The discovery of the between-communities associations is also becoming more important in modern data analysis. Identified often hidden associations between weakly connected communities can provide more information about the data. In this paper, we propose two measures for between-communities associations in network data sets that uncover rich information on networks. |
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