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Title:
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CHARACTERIZING COLLABORATIVE SOCIAL NETWORKS USING CYCLIC ENTROPY, CASE STUDY: WIKIPEDIATM |
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Author(s):
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Khaled Mahdi |
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ISBN:
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978-972-8924-82-9 |
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Editors:
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Gunilla Bradley and Piet Kommers |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Social Networks, Wikipedia, Entropy, Degree distribution, Cycles, Cyclic Entropy |
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Type:
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Short Paper |
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First Page:
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125 |
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Last Page:
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130 |
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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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We determine the entropy of the cycles existing in Wikipedia, an example of collaborative social networks. Two
entropies are compared the entropy based on cycles and based the entropy based on the degree of the nodes. We model
Wikipedia as a hypergraph with nodes representing authors, documents and referencing relationship. We found the
referencing relationship is relatively dynamic and has cyclic entropy of 2.04 whereas the relationship between authors
collaborating on these pages is more dynamic, with an entropy equals 0.68. The cyclic entropy of the relations among
articles of common contributors has the highest entropy equals to 2.38, which suggests the least dynamicity. Compared to
the degree entropy, the cyclic entropy is a better characterizing property of the dynamicity of collaborative networks. |
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