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Meta-Path and Matrix Factorization Based Shilling Detection for Collaborate Filtering Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Measuring Bidirectional Subjective Strength of Online Social Relationship by Synthetizing the Interactive Language Features and Social Balance (Short Paper)

Authors : Baixiang Xue, Bo Wang, Yanshu Yu, Ruifang He, Yuexian Hou, Dawei Song

Published in: Collaborative Computing: Networking, Applications and Worksharing

Publisher: Springer International Publishing

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Abstract

In online collaboration, instead of the objective strength of social relationship, recent study reveals that the two participants can have different subjective opinions on the relationship between them, and the opinion can be investigated with their interactive language on this relationship. However, two participants’ bidirectional opinions in collaboration is not only determined by their interaction on this relationship, but also influenced by the adjacent third-party partners. In this work, we define the two participants’ opinions as the subjective strength of their relationship. To measure the bidirectional subjective strength of a social relationship, we propose a computational model synthetizing the features from participants’ interactive language and the adjacent balance in social network. Experimental results on real collaboration in Enron email dataset verify the effectiveness of the proposed model.

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Metadata
Title
Measuring Bidirectional Subjective Strength of Online Social Relationship by Synthetizing the Interactive Language Features and Social Balance (Short Paper)
Authors
Baixiang Xue
Bo Wang
Yanshu Yu
Ruifang He
Yuexian Hou
Dawei Song
Copyright Year
2019
Book
Collaborative Computing: Networking, Applications and Worksharing

Print ISBN: 978-3-030-12980-4

Electronic ISBN: 978-3-030-12981-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-12981-1_7