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A Preference-Driven Database Approach to Reciprocal User Recommendations in Online Social Networks Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Community Detection in Multi-relational Bibliographic Networks

Authors : Soumaya Guesmi, Chiraz Trabelsi, Chiraz Latiri

Published in: Database and Expert Systems Applications

Publisher: Springer International Publishing

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Abstract

In this paper, we introduce a community detection approach from heterogeneous multi-relational network which incorporate the multiple types of objects and relationships, derived from a bibliographic networks. The proposed approach performs firstly by constructing the relation context family (RCF) to represent the different objects and relations in the multi-relational bibliographic networks using the Relational Concept Analysis (RCA) methods; and secondly by exploring such RCF for community detection. Experiments performed on a dataset of academic publications from the Computer Science domain enhance the effectiveness of our proposal and open promising issues.

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Metadata
Title
Community Detection in Multi-relational Bibliographic Networks
Authors
Soumaya Guesmi
Chiraz Trabelsi
Chiraz Latiri
Copyright Year
2016
Book
Database and Expert Systems Applications

Print ISBN: 978-3-319-44405-5

Electronic ISBN: 978-3-319-44406-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-44406-2_2

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