Collaborative Computing: Networking, Applications and Worksharing. 14th EAI International Conference, CollaborateCom 2018, Shanghai, China, December 1-3, 2018, Proceedings

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-030-12981-1_7,
        author={Baixiang Xue and Bo Wang and Yanshu Yu and Ruifang He and Yuexian Hou and Dawei Song},
        title={Measuring Bidirectional Subjective Strength of Online Social Relationship by Synthetizing the Interactive Language Features and Social Balance (Short Paper)},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 14th EAI International Conference, CollaborateCom 2018, Shanghai, China, December 1-3, 2018, Proceedings},
        proceedings_a={COLLABORATECOM},
        year={2019},
        month={2},
        keywords={Social relationship Subjective strength Interactive language Balance theory},
        doi={10.1007/978-3-030-12981-1_7}
    }
    
  • Baixiang Xue
    Bo Wang
    Yanshu Yu
    Ruifang He
    Yuexian Hou
    Dawei Song
    Year: 2019
    Measuring Bidirectional Subjective Strength of Online Social Relationship by Synthetizing the Interactive Language Features and Social Balance (Short Paper)
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-12981-1_7
Baixiang Xue1,*, Bo Wang1,*, Yanshu Yu1,*, Ruifang He1,*, Yuexian Hou1,*, Dawei Song1,*
  • 1: Tianjin University
*Contact email: baixiangxue@tju.edu.cn, bo_wang@tju.edu.cn, 1575341196@qq.com, rfhe@tju.edu.cn, yxhou@tju.edu.cn, dwsong@tju.edu.cn

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.