---
_id: '13322'
abstract:
- lang: eng
  text: 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.
author:
- first_name: Robert
  full_name: Hillmann, Robert
  last_name: Hillmann
- first_name: Matthias
  full_name: Trier, Matthias
  id: '72744'
  last_name: Trier
citation:
  ama: 'Hillmann R, Trier M. Influence and Dissemination Of Sentiments in Social Network
    Communication Patterns. In: <i>ECIS 2013 Proceedings</i>. Association for Information
    Systems. AIS Electronic Library (AISeL); 2013.'
  apa: Hillmann, R., &#38; Trier, M. (2013). Influence and Dissemination Of Sentiments
    in Social Network Communication Patterns. In <i>ECIS 2013 Proceedings</i>. Association
    for Information Systems. AIS Electronic Library (AISeL).
  bibtex: '@inproceedings{Hillmann_Trier_2013, title={Influence and Dissemination
    Of Sentiments in Social Network Communication Patterns}, booktitle={ECIS 2013
    Proceedings}, publisher={Association for Information Systems. AIS Electronic Library
    (AISeL)}, author={Hillmann, Robert and Trier, Matthias}, year={2013} }'
  chicago: Hillmann, Robert, and Matthias Trier. “Influence and Dissemination Of Sentiments
    in Social Network Communication Patterns.” In <i>ECIS 2013 Proceedings</i>. Association
    for Information Systems. AIS Electronic Library (AISeL), 2013.
  ieee: R. Hillmann and M. Trier, “Influence and Dissemination Of Sentiments in Social
    Network Communication Patterns,” in <i>ECIS 2013 Proceedings</i>, 2013.
  mla: Hillmann, Robert, and Matthias Trier. “Influence and Dissemination Of Sentiments
    in Social Network Communication Patterns.” <i>ECIS 2013 Proceedings</i>, Association
    for Information Systems. AIS Electronic Library (AISeL), 2013.
  short: 'R. Hillmann, M. Trier, in: ECIS 2013 Proceedings, Association for Information
    Systems. AIS Electronic Library (AISeL), 2013.'
date_created: 2019-09-19T11:38:37Z
date_updated: 2022-01-06T06:51:33Z
department:
- _id: '198'
keyword:
- Social Network Analysis
- Sentiment Analysis
- Communication Patterns
language:
- iso: eng
publication: ECIS 2013 Proceedings
publication_identifier:
  isbn:
  - '9783834924421'
publisher: Association for Information Systems. AIS Electronic Library (AISeL)
status: public
title: Influence and Dissemination Of Sentiments in Social Network Communication Patterns
type: conference
user_id: '62809'
year: '2013'
...
---
_id: '13326'
abstract:
- lang: eng
  text: Communication within online social network applications enables users to express
    and share sentiments electronically. Existing studies examined the existence or
    distribution of sentiments in online communication at a general level or in small-observed
    groups. Our paper extends this research by analyzing sentiment exchange within
    social networks from an ego-network perspective. We draw from research on social
    influence and social attachment to develop theories of node polarization, balance
    effects and sentiment mirroring within communication dyads. Our empirical analysis
    covers a multitude of social networks in which the sentiment valence of all messages
    was determined. Subsequently we studied ego-networks of focal actors (ego) and
    their immediate contacts. Results support our theories and indicate that actors
    develop polarized sentiments towards individual peers but keep sentiment in balance
    on the ego-network level. Further, pairs of nodes tend to establish similar attitudes
    towards each other leading to stable and polarized positive or negative relationships
author:
- first_name: Robert
  full_name: Hillmann, Robert
  last_name: Hillmann
- first_name: Matthias
  full_name: Trier, Matthias
  id: '72744'
  last_name: Trier
citation:
  ama: 'Hillmann R, Trier M. Sentiment Polarization and Balance among Users in Online
    Social Networks. In: Joshi KD, Yoo Y, eds. <i>AMCIS 2012 Proceedings</i>. Vol
    24. Association for Information Systems. AIS Electronic Library (AISeL); 2012.'
  apa: Hillmann, R., &#38; Trier, M. (2012). Sentiment Polarization and Balance among
    Users in Online Social Networks. In K. D. Joshi &#38; Y. Yoo (Eds.), <i>AMCIS
    2012 Proceedings</i> (Vol. 24). Association for Information Systems. AIS Electronic
    Library (AISeL).
  bibtex: '@inproceedings{Hillmann_Trier_2012, title={Sentiment Polarization and Balance
    among Users in Online Social Networks}, volume={24}, booktitle={AMCIS 2012 Proceedings},
    publisher={Association for Information Systems. AIS Electronic Library (AISeL)},
    author={Hillmann, Robert and Trier, Matthias}, editor={Joshi, K.D. and Yoo, YoungjinEditors},
    year={2012} }'
  chicago: Hillmann, Robert, and Matthias Trier. “Sentiment Polarization and Balance
    among Users in Online Social Networks.” In <i>AMCIS 2012 Proceedings</i>, edited
    by K.D. Joshi and Youngjin Yoo, Vol. 24. Association for Information Systems.
    AIS Electronic Library (AISeL), 2012.
  ieee: R. Hillmann and M. Trier, “Sentiment Polarization and Balance among Users
    in Online Social Networks,” in <i>AMCIS 2012 Proceedings</i>, 2012, vol. 24.
  mla: Hillmann, Robert, and Matthias Trier. “Sentiment Polarization and Balance among
    Users in Online Social Networks.” <i>AMCIS 2012 Proceedings</i>, edited by K.D.
    Joshi and Youngjin Yoo, vol. 24, Association for Information Systems. AIS Electronic
    Library (AISeL), 2012.
  short: 'R. Hillmann, M. Trier, in: K.D. Joshi, Y. Yoo (Eds.), AMCIS 2012 Proceedings,
    Association for Information Systems. AIS Electronic Library (AISeL), 2012.'
date_created: 2019-09-19T12:22:08Z
date_updated: 2022-01-06T06:51:33Z
department:
- _id: '198'
editor:
- first_name: K.D.
  full_name: Joshi, K.D.
  last_name: Joshi
- first_name: Youngjin
  full_name: Yoo, Youngjin
  last_name: Yoo
intvolume: '        24'
keyword:
- Social Network Analysis
- Ego-Network Analysis
- Node Polarization
- Sentiment Dissemination
language:
- iso: eng
publication: AMCIS 2012 Proceedings
publisher: Association for Information Systems. AIS Electronic Library (AISeL)
status: public
title: Sentiment Polarization and Balance among Users in Online Social Networks
type: conference
user_id: '62809'
volume: 24
year: '2012'
...
---
_id: '13331'
abstract:
- lang: eng
  text: Communication in online social networks has been analyzed for some time regarding
    the expression of sentiments. So far, very little is known about the relationship
    between sentiments and network emergence, dissemination patternsand possible differences
    between positive and negative sentiments. The dissemination patterns analyzed
    in this study consist of network motifs based on triples of actors and the ties
    among them. These motifs are associated with common social network effects to
    derive meaningful insights about dissemination activities. The data basis includes
    several thousand social networks with textual messages classified according to
    embedded positive and negative sentiments. Based on this data, sub-networks are
    extracted and analyzed with a dynamic network motif analysis to determine dissemination
    patterns and associated network effects. Results indicate that the emergence of
    digital social networks exhibits a strong tendency towards reciprocity, followed
    by the dominance ofhierarchy as an intermediate step leading to social clustering
    with hubs and transitivity effects for both positive and negative sentiments to
    the same extend. Sentiments embedded in exchanged textual messages do only play
    a secondary role in network emergence and do not express differences regarding
    the emergence of network patterns.
author:
- first_name: Robert
  full_name: Hillmann, Robert
  last_name: Hillmann
- first_name: Matthias
  full_name: Trier, Matthias
  id: '72744'
  last_name: Trier
citation:
  ama: 'Hillmann R, Trier M. Dissemination Patterns and Associated Network Effects
    of Sentiments in Social Networks. In: <i>Proceedings of the 2012 IEEE/ACM International
    Conference on Advances in Social Networks Analysis and Mining</i>. United States:
    IEEE; 2012:510-515.'
  apa: 'Hillmann, R., &#38; Trier, M. (2012). Dissemination Patterns and Associated
    Network Effects of Sentiments in Social Networks. In <i>Proceedings of the 2012
    IEEE/ACM International Conference on Advances in Social Networks Analysis and
    Mining</i> (pp. 510–515). United States: IEEE.'
  bibtex: '@inproceedings{Hillmann_Trier_2012, place={United States}, title={Dissemination
    Patterns and Associated Network Effects of Sentiments in Social Networks}, booktitle={Proceedings
    of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis
    and Mining}, publisher={IEEE}, author={Hillmann, Robert and Trier, Matthias},
    year={2012}, pages={510–515} }'
  chicago: 'Hillmann, Robert, and Matthias Trier. “Dissemination Patterns and Associated
    Network Effects of Sentiments in Social Networks.” In <i>Proceedings of the 2012
    IEEE/ACM International Conference on Advances in Social Networks Analysis and
    Mining</i>, 510–15. United States: IEEE, 2012.'
  ieee: R. Hillmann and M. Trier, “Dissemination Patterns and Associated Network Effects
    of Sentiments in Social Networks,” in <i>Proceedings of the 2012 IEEE/ACM International
    Conference on Advances in Social Networks Analysis and Mining</i>, 2012, pp. 510–515.
  mla: Hillmann, Robert, and Matthias Trier. “Dissemination Patterns and Associated
    Network Effects of Sentiments in Social Networks.” <i>Proceedings of the 2012
    IEEE/ACM International Conference on Advances in Social Networks Analysis and
    Mining</i>, IEEE, 2012, pp. 510–15.
  short: 'R. Hillmann, M. Trier, in: Proceedings of the 2012 IEEE/ACM International
    Conference on Advances in Social Networks Analysis and Mining, IEEE, United States,
    2012, pp. 510–515.'
date_created: 2019-09-19T12:49:33Z
date_updated: 2022-01-06T06:51:33Z
department:
- _id: '198'
keyword:
- Social Network Analysis
- Dynamic Network Motif Analysis
- Sentiment Dissemination
- Networking Effects
- Triads
language:
- iso: eng
page: 510-515
place: United States
publication: Proceedings of the 2012 IEEE/ACM International Conference on Advances
  in Social Networks Analysis and Mining
publication_identifier:
  isbn:
  - '9780769547992'
publisher: IEEE
status: public
title: Dissemination Patterns and Associated Network Effects of Sentiments in Social
  Networks
type: conference
user_id: '62809'
year: '2012'
...