Temporal walk based centrality metric for graph streams-Reference-Cited by-同舟云学术

Temporal walk based centrality metric for graph streams

Published:2018-08-14 Issue:1 Volume:3 Page:
ISSN:2364-8228
Container-title:Applied Network Science
language:en
Short-container-title:Appl Netw Sci

Author:

Béres Ferenc^ORCID,Pálovics Róbert,Oláh Anna,Benczúr András A.

Funder

Hungarian Academy of Sciences

EU H2020

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Networks and Communications,Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s41109-018-0080-5.pdf

Reference42 articles.

1. Al-Maskari, A, Sanderson M, Clough P (2007) The relationship between ir effectiveness measures and user satisfaction In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 773–774.. ACM, New York.

2. Alsayed, A, Higham DJ (2015) Betweenness in time dependent networks. Chaos, Solitons Fractals 72:35–48.

3. Aragón, P, Kappler KE, Kaltenbrunner A, Laniado D, Volkovich Y (2013) Communication dynamics in twitter during political campaigns: The case of the 2011 spanish national election. Policy Internet 5(2):183–206.

4. Babcock, B, Babu S, Datar M, Motwani R, Widom J (2002) Models and issues in data stream systems In: Proceedings of the Twenty-first ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 1–16.. ACM, New York.

5. Backstrom, L, Boldi P, Rosa M, Ugander J, Vigna S (2012) Four degrees of separation In: Proceedings of the 3rd Annual ACM Web Science Conference.. ACM, New York.

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