The Library
Incorporating social role theory into topic models for social media content analysis
Tools
Zhao, Wayne Xin, Wang, Jinpeng, He, Yulan, Nie, Jian-Yun, Wen, Ji-Rong and Li, Xiaoming (2015) Incorporating social role theory into topic models for social media content analysis. IEEE Transactions on Knowledge and Data Engineering, 27 (4). pp. 1032-1044. doi:10.1109/TKDE.2014.2359672 ISSN 1041-4347.
|
PDF
WRAP-incorporating-social-role-theory-topic-models-social-media-content-analysis-He-2014.pdf - Accepted Version - Requires a PDF viewer. Download (1795Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TKDE.2014.2359672
Abstract
In this paper, we explore the idea of social role theory (SRT) and propose a novel regularized topic model which incorporates SRT into the generative process of social media content. We assume that a user can play multiple social roles, and each social role serves to fulfil different duties and is associated with a role-driven distribution over latent topics. In particular, we focus on social roles corresponding to the most common social activities on social networks. Our model is instantiated on microblogs, i.e., Twitter and community question-answering (cQA), i.e., Yahoo!Answers, where social roles on Twitter include “originators” and “propagators”, and roles on cQA are “askers” and “answerers”. Both explicit and implicit interactions between users are taken into account and modeled as regularization factors. To evaluate the performance of our proposed method, we have conducted extensive experiments on two Twitter datasets and two cQA datasets. Furthermore, we also consider multi-role modeling for scientific papers where an author's research expertise area is considered as a social role. A novel application of detecting users' research interests through topical keyword labeling based on the results of our multi-role model has been presented. The evaluation results have shown the feasibility and effectiveness of our model.
Item Type: | Journal Article | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Subjects: | H Social Sciences > HM Sociology Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
|||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Microblogs, Online social networks, Twitter (Firm), Yahoo! Inc, Social media | |||||||||||||||
Journal or Publication Title: | IEEE Transactions on Knowledge and Data Engineering | |||||||||||||||
Publisher: | IEEE Computer Society | |||||||||||||||
ISSN: | 1041-4347 | |||||||||||||||
Official Date: | 1 April 2015 | |||||||||||||||
Dates: |
|
|||||||||||||||
Volume: | 27 | |||||||||||||||
Number: | 4 | |||||||||||||||
Page Range: | pp. 1032-1044 | |||||||||||||||
DOI: | 10.1109/TKDE.2014.2359672 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Reuse Statement (publisher, data, author rights): | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||
Date of first compliant deposit: | 29 September 2018 | |||||||||||||||
Date of first compliant Open Access: | 2 October 2018 | |||||||||||||||
RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year