---
_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. AMCIS 2012 Proceedings. Vol
24. Association for Information Systems. AIS Electronic Library (AISeL); 2012.'
apa: Hillmann, R., & Trier, M. (2012). Sentiment Polarization and Balance among
Users in Online Social Networks. In K. D. Joshi & Y. Yoo (Eds.), AMCIS
2012 Proceedings (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 AMCIS 2012 Proceedings, 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 AMCIS 2012 Proceedings, 2012, vol. 24.
mla: Hillmann, Robert, and Matthias Trier. “Sentiment Polarization and Balance among
Users in Online Social Networks.” AMCIS 2012 Proceedings, 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: Proceedings of the 2012 IEEE/ACM International
Conference on Advances in Social Networks Analysis and Mining. United States:
IEEE; 2012:510-515.'
apa: 'Hillmann, R., & Trier, M. (2012). Dissemination Patterns and Associated
Network Effects of Sentiments in Social Networks. In Proceedings of the 2012
IEEE/ACM International Conference on Advances in Social Networks Analysis and
Mining (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 Proceedings of the 2012
IEEE/ACM International Conference on Advances in Social Networks Analysis and
Mining, 510–15. United States: IEEE, 2012.'
ieee: R. Hillmann and M. Trier, “Dissemination Patterns and Associated Network Effects
of Sentiments in Social Networks,” in Proceedings of the 2012 IEEE/ACM International
Conference on Advances in Social Networks Analysis and Mining, 2012, pp. 510–515.
mla: Hillmann, Robert, and Matthias Trier. “Dissemination Patterns and Associated
Network Effects of Sentiments in Social Networks.” Proceedings of the 2012
IEEE/ACM International Conference on Advances in Social Networks Analysis and
Mining, 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'
...