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We propose a simplified model which exhibits community structure, power-law degree distribution and high clustering. Every vertex is a social one with a social identity. The preferential attachment of Barabasi-Albert model is incorporated with social similarity. When a newly added vertex makes a new link, it first selects a certain group of vertices with a probability by considering the social distances...
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