--- _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' ...