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Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings

Research Article

Position vs. Attitude: How Topological Factors Influence Our Difference in the Attitudes on Online Interrelationships? A Case Study with Language Use

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  • @INPROCEEDINGS{10.1007/978-3-030-00916-8_15,
        author={Bo Wang and Yingjun Sun and Yuexian Hou and Dawei Song and Ruifang He},
        title={Position vs. Attitude: How Topological Factors Influence Our Difference in the Attitudes on Online Interrelationships? A Case Study with Language Use},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings},
        proceedings_a={COLLABORATECOM},
        year={2018},
        month={10},
        keywords={Attitude Online collaboration Social network topology Interrelationship Interactive language},
        doi={10.1007/978-3-030-00916-8_15}
    }
    
  • Bo Wang
    Yingjun Sun
    Yuexian Hou
    Dawei Song
    Ruifang He
    Year: 2018
    Position vs. Attitude: How Topological Factors Influence Our Difference in the Attitudes on Online Interrelationships? A Case Study with Language Use
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-00916-8_15
Bo Wang,*, Yingjun Sun,*, Yuexian Hou,*, Dawei Song,*, Ruifang He1,*
  • 1: Tianjin University
*Contact email: bo_wang@tju.edu.cn, sunyingjun1993@tju.edu.cn, yxhou@tju.edu.cn, dwsong@tju.edu.cn, rfhe@tju.edu.cn

Abstract

Though current researches of online collaboration often study the social relationship from an objective view, individuals’ subjective attitudes on their interrelationships are more important for collaboration. Inspired by sociolinguistic theories, the latest work indicates that individuals’ different attitudes on interrelationships can be measured by interactive language. However, it is still an open problem that what kind of factors influences our different attitudes on interrelationships. In this work, we investigate how individuals’ position i.e., the topological factors in social network influence the differences in our bidirectional attitudes on interrelationships. Measuring the attitudes with interactive language on Enron email dataset, we analyze the correlation between attitudes and the topological factors of email network. The results indicate that individuals’ differences in attitudes on interrelationships are related to some typical topological factors. These results inspire us to measure individuals’ attitude in online collaboration with their topological factors in social network.

Keywords
Attitude Online collaboration Social network topology Interrelationship Interactive language
Published
2018-10-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-00916-8_15
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