Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search

Okubo, Yoshiaki; Haraguchi, Masanobu; Tomita, Eiji

doi:10.1007/978-3-642-33492-4_23

Cited by 5 publications

(1 citation statement)

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“…The RCC used here can be regarded as an extended version of the RCCs in [28] in the sense that it is more widely applicable to nonsmall Z f i than that in [28]. Although we skip the details because of space limitations, interested readers can refer to [18].…”

Section: Right and Left Search Control Rulesmentioning

confidence: 99%

A fast and complete algorithm for enumerating pseudo-cliques in large graphs

Zhai

Haraguchi

Okubo

et al. 2016

Int J Data Sci Anal

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This paper discusses a complete and efficient algorithm for enumerating densely connected k-Plexes in networks. A k-Plex is a kind of pseudo-clique which imposes a disconnection upper bound (DUB) involving a parameter k for each constituent vertex. However, because the parameter value is usually set independently of the sizes of the targeted pseudo-cliques, we often obtain k-Plexes that are not densely connected. To overcome this drawback, we introduce another constraint, the connection lower bound (CLB), which involves a parameter j. Using the CLB, we can enjoy monotonic j-core operations and can design an efficient depth-first algorithm, which can exclude both search branches that generate duplicate search nodes and "hopeless" nodes that yield no targets satisfying both DUB and CLB. Our experimental results show that the algorithm can be a useful tool for detecting densely connected pseudo-cliques in large networks, including an example with over 800, 000 vertices. Keywords Pseudo-clique • k-Plex • j-Core • j-Cored maximal connected k-Plex • Enumeration algorithm This paper is an extended version of the PAKDD 2016 Long Presentation Paper, "A Fast and Complete Enumeration of Pseudo-Cliques for Large Graphs" [30].

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Section: Right and Left Search Control Rulesmentioning

confidence: 99%