作者
Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos
发表日期
2016/12/12
研讨会论文
2016 IEEE 16th international conference on data mining (ICDM)
页码范围
469-478
出版商
IEEE
简介
How do the k-core structures of real-world graphs look like? What are the common patterns and the anomalies? How can we use them for algorithm design and applications? A k-core is the maximal subgraph where all vertices have degree at least k. This concept has been applied to such diverse areas as hierarchical structure analysis, graph visualization, and graph clustering. Here, we explore pervasive patterns that are related to k-cores and emerging in graphs from several diverse domains. Our discoveries are as follows: (1) Mirror Pattern: coreness of vertices (i.e., maximum k such that each vertex belongs to the k-core) is strongly correlated to their degree. (2) Core-Triangle Pattern: degeneracy of a graph (i.e., maximum k such that the k-core exists in the graph) obeys a 3-to-1 power law with respect to the count of triangles. (3) Structured Core Pattern: degeneracy-cores are not cliques but have non-trivial …
引用总数
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K Shin, T Eliassi-Rad, C Faloutsos - 2016 IEEE 16th international conference on data …, 2016