ソーシャルグラフ分æžThis document provides an introduction to analyzing social graphs using graph databases. It discusses using Neo4j to store social graph data and analyze centrality and clustering coefficients. Sample code is shown for inserting nodes and relationships in Neo4j and traversing the graph. Analyzing a sample social network dataset found centrality values ranged from 1 to over 900, with a median of 10,
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