Influence and Dissemination Of Sentiments in Social Network Communication Patterns

Robert Hillmann, Matthias Trier

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Previous research suggests the existence of sentiments in online social networks. In comparison to real life human interaction, in which sentiments have been shown to have an influence on human behaviour, it is not yet completely understood which mechanisms explain how sentiments influence users in online environments. We develop a theoretical framework that tries to bridge the gap between social influence theories that focus on offline interactions on one hand and online interaction in social networks on the other hand. We then test our hypothesis about the influence and dissemination of sentiments in a quantitative analysis that is based on retrieved textual messages of communication patterns in over 12000 online social networks. Our empirical results suggest a general influence of sentiments on node communication patterns that is evidenced by increased occurrences of subsequent messages that express the same sentiment polarization. We interpret these findings and suggest future research to advance our currently limited theories that assume perceived and generalized social influence to path-dependent social influence models that consider actual behaviour.
    Previous research suggests the existence of sentiments in online social networks. In comparison to real life human interaction, in which sentiments have been shown to have an influence on human behaviour, it is not yet completely understood which mechanisms explain how sentiments influence users in online environments. We develop a theoretical framework that tries to bridge the gap between social influence theories that focus on offline interactions on one hand and online interaction in social networks on the other hand. We then test our hypothesis about the influence and dissemination of sentiments in a quantitative analysis that is based on retrieved textual messages of communication patterns in over 12000 online social networks. Our empirical results suggest a general influence of sentiments on node communication patterns that is evidenced by increased occurrences of subsequent messages that express the same sentiment polarization. We interpret these findings and suggest future research to advance our currently limited theories that assume perceived and generalized social influence to path-dependent social influence models that consider actual behaviour.

    Conference

    ConferenceThe 21st European Conference on Information Systems (ECIS) 2013
    Number21
    LocationUtrecht University, Utrecht Science Park 'de Uithof'
    CountryNetherlands
    CityUtrecht
    Period05/06/201308/06/2013
    Internet address
    SeriesProceedings of the European Conference on Information Systems
    ISSN0000-0034

    Keywords

      Cite this

      Hillmann, R., & Trier, M. (2013). Influence and Dissemination Of Sentiments in Social Network Communication Patterns. In ECIS 2013 Proceedings [Paper 57] Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). Proceedings of the European Conference on Information Systems
      Hillmann, Robert ; Trier, Matthias. / Influence and Dissemination Of Sentiments in Social Network Communication Patterns. ECIS 2013 Proceedings. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2013. (Proceedings of the European Conference on Information Systems).
      @inproceedings{2bd1369b583341528f52475822ed99d0,
      title = "Influence and Dissemination Of Sentiments in Social Network Communication Patterns",
      abstract = "Previous research suggests the existence of sentiments in online social networks. In comparison to real life human interaction, in which sentiments have been shown to have an influence on human behaviour, it is not yet completely understood which mechanisms explain how sentiments influence users in online environments. We develop a theoretical framework that tries to bridge the gap between social influence theories that focus on offline interactions on one hand and online interaction in social networks on the other hand. We then test our hypothesis about the influence and dissemination of sentiments in a quantitative analysis that is based on retrieved textual messages of communication patterns in over 12000 online social networks. Our empirical results suggest a general influence of sentiments on node communication patterns that is evidenced by increased occurrences of subsequent messages that express the same sentiment polarization. We interpret these findings and suggest future research to advance our currently limited theories that assume perceived and generalized social influence to path-dependent social influence models that consider actual behaviour.",
      keywords = "Social Network Analysis, Sentiment Analysis, Communication Patterns",
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      Hillmann, R & Trier, M 2013, Influence and Dissemination Of Sentiments in Social Network Communication Patterns. in ECIS 2013 Proceedings., Paper 57, Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Proceedings of the European Conference on Information Systems, Utrecht, Netherlands, 05/06/2013.

      Influence and Dissemination Of Sentiments in Social Network Communication Patterns. / Hillmann, Robert ; Trier, Matthias.

      ECIS 2013 Proceedings. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2013. Paper 57.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

      TY - GEN

      T1 - Influence and Dissemination Of Sentiments in Social Network Communication Patterns

      AU - Hillmann,Robert

      AU - Trier,Matthias

      PY - 2013

      Y1 - 2013

      N2 - Previous research suggests the existence of sentiments in online social networks. In comparison to real life human interaction, in which sentiments have been shown to have an influence on human behaviour, it is not yet completely understood which mechanisms explain how sentiments influence users in online environments. We develop a theoretical framework that tries to bridge the gap between social influence theories that focus on offline interactions on one hand and online interaction in social networks on the other hand. We then test our hypothesis about the influence and dissemination of sentiments in a quantitative analysis that is based on retrieved textual messages of communication patterns in over 12000 online social networks. Our empirical results suggest a general influence of sentiments on node communication patterns that is evidenced by increased occurrences of subsequent messages that express the same sentiment polarization. We interpret these findings and suggest future research to advance our currently limited theories that assume perceived and generalized social influence to path-dependent social influence models that consider actual behaviour.

      AB - Previous research suggests the existence of sentiments in online social networks. In comparison to real life human interaction, in which sentiments have been shown to have an influence on human behaviour, it is not yet completely understood which mechanisms explain how sentiments influence users in online environments. We develop a theoretical framework that tries to bridge the gap between social influence theories that focus on offline interactions on one hand and online interaction in social networks on the other hand. We then test our hypothesis about the influence and dissemination of sentiments in a quantitative analysis that is based on retrieved textual messages of communication patterns in over 12000 online social networks. Our empirical results suggest a general influence of sentiments on node communication patterns that is evidenced by increased occurrences of subsequent messages that express the same sentiment polarization. We interpret these findings and suggest future research to advance our currently limited theories that assume perceived and generalized social influence to path-dependent social influence models that consider actual behaviour.

      KW - Social Network Analysis

      KW - Sentiment Analysis

      KW - Communication Patterns

      M3 - Article in proceedings

      SN - 9783834924421

      BT - ECIS 2013 Proceedings

      PB - Association for Information Systems. AIS Electronic Library (AISeL)

      CY - Atlanta, GA

      ER -

      Hillmann R, Trier M. Influence and Dissemination Of Sentiments in Social Network Communication Patterns. In ECIS 2013 Proceedings. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2013. Paper 57. (Proceedings of the European Conference on Information Systems).