Publication Type

Conference Proceeding Article

Version

Postprint

Publication Date

4-2015

Abstract

Diffusion in social networks is an important research topic lately due to massive amount of information shared on social media and Web. As information diffuses, users express sentiments which can affect the sentiments of others. In this paper, we analyze how users reinforce or modify sentiment of one another based on a set of inter-dependent latent user factors as they are engaged in diffusion of event information. We introduce these sentiment-based latent user factors, namely influence, susceptibility and cynicalness. We also propose the ISC model to relate the three factors together and develop an iterative computation approach to derive them simultaneously. We evaluate the ISC model by conducting experiments on two separate sets of Twitter data collected from two real world events. The experiments show the top influential users tend to stay consistently influential while susceptibility and cynicalness of users could changed significantly across events.

Keywords

Twitter network, sentiment diffusion

Discipline

Databases and Information Systems | Social Media

Research Areas

Data Management and Analytics

Publication

Advances in Information Retrieval: 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings

Volume

9022

Editor

Hanbury, Allan; Kazai, Gabriella; Rauber, Andreas; and Fuhr, Norbert

First Page

411

Last Page

422

ISBN

9783319163536

Identifier

10.1007/978-3-319-16354-3_45

Publisher

Springer

City or Country

Cham

Copyright Owner and License

Authors

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org/10.1007/978-3-319-16354-3_45

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