Discovering and tracking query oriented active online social groups in dynamic information network

journal contribution

posted on 2024-06-05, 02:22 authored by MM Anwar, C Liu, Jianxin Li

Discovering and tracking query oriented active online social groups in dynamic information network

History

Journal

World Wide Web

Volume

22

Pagination

1819-1854

Location

New York, N.Y.

ISSN

1386-145X

eISSN

1573-1413

Language

English

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2018, Springer Science+Business Media, LLC, part of Springer Nature

Issue

4

Publisher

SPRINGER

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Categories

Keywords

Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Computer Science Active social groups Dynamic social networks Fading time window Group evolution COMMUNITY DETECTION 4605 Data management and data science 4699 Other information and computing sciences

Licence

All Rights Reserved

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