Fast Exact CoSimRank Search on Evolving and Static Graphs

Weiren Yu, Fan Wang

Research output: Chapter in Book/Published conference outputConference publication


In real Web applications, CoSimRank has been proposed as a powerful measure of node-pair similarity based on graph topologies. However, existing work on CoSimRank is restricted to static graphs. When the graph is updated with new edges arriving over time, it is cost-inhibitive to recompute all CoSimRank scores from scratch, which is impractical. In this study, we propose a fast dynamic scheme, \DCoSim for accurate CoSimRank search over evolving graphs. Based on \DCoSim, we also propose a fast scheme, \FCoSim, that greatly accelerates CoSimRank search over static graphs. Our theoretical analysis shows that \DCoSim and \FCoSim guarantee the exactness of CoSimRank scores. On the static graph G, to efficiently retrieve CoSimRank scores $\mathbfS $, \FCoSim is based on three ideas: (i) It first finds a "spanning polytree»» T over G. (ii) On T, a fast algorithm is designed to compute the CoSimRank scores $\mathbfS (T)$ over the "spanning polytree»» T. (iii) On G, \DCoSim is employed to compute the changes of $\mathbfS (T)$ in response to the delta graph $(G øminus T)$. Experimental evaluations verify the superiority of \DCoSim over evolving graphs, and the fast speedup of \FCoSim on large-scale static graphs against its competitors, without any loss of accuracy.
Original languageEnglish
Title of host publicationWWW '18 Proceedings of the 2018 World Wide Web Conference
ISBN (Electronic)978-1-4503-5639-8
ISBN (Print)978-1-4503-5639-8
Publication statusPublished - 10 Apr 2018
Eventthe 2018 World Wide Web Conference - Lyon, France
Duration: 23 Apr 201827 Apr 2018


Conferencethe 2018 World Wide Web Conference

Bibliographical note



Dive into the research topics of 'Fast Exact CoSimRank Search on Evolving and Static Graphs'. Together they form a unique fingerprint.

Cite this