Interaction-based social relationship type identification in microblog

Qiao Deng; Zhoujun Li; Xiaoming Zhang; Jiali Xia

doi:10.1007/978-3-319-04048-6_14

Interaction-based social relationship type identification in microblog

Qiao Deng
, Zhoujun Li
, Xiaoming Zhang
, Jiali Xia

Beihang University
Jiangxi University of Finance and Economics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Relationships in Microblogging services are lack of explicit meaningful labels, such as "colleagues", "family members", etc. The state-of-the-arts mainly work on mining only one particular relationship type such as advisor-advisee relationship for specific social networks. Moreover, few work focuses on relationship identification in Microblog based on link analysis. In Micro-blog, words in interactive tweets between users may provide clues for relationship type identification. In this study, we propose a two-step framework to infer the different social relationship types between users in Microblog. Firstly, a generative model UIRCT (User Interaction-based Relationship-related Community Topic) is proposed to discover relationship-related communities based on interactive content between users. We then profile the discovered communities with different relationship type labels by utilizing external resource. Experiment results on Sina Weibo dataset demonstrate that our proposed framework can identify different meaningful relationship types effectively.

Original language	English
Title of host publication	Behavior and Social Computing - Int. Workshop on Behavior and Social Informatics, BSI 2013 and Int. Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Revised Selected Papers
Publisher	Springer Verlag
Pages	151-164
Number of pages	14
ISBN (Print)	9783319040479
DOIs	https://doi.org/10.1007/978-3-319-04048-6_14
State	Published - 2013
Event	International Workshop on Behavior and Social Informatics, BSI 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013 - Beijing, China Duration: 3 Aug 2013 → 9 Aug 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8178 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Workshop on Behavior and Social Informatics, BSI 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013
Country/Territory	China
City	Beijing
Period	3/08/13 → 9/08/13

Keywords

Community discovery
Generative models
Interactive tweets
Relationship type identification

Access to Document

10.1007/978-3-319-04048-6_14

Cite this

Deng, Q., Li, Z., Zhang, X., & Xia, J. (2013). Interaction-based social relationship type identification in microblog. In Behavior and Social Computing - Int. Workshop on Behavior and Social Informatics, BSI 2013 and Int. Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Revised Selected Papers (pp. 151-164). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8178 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-04048-6_14

Deng, Qiao ; Li, Zhoujun ; Zhang, Xiaoming et al. / Interaction-based social relationship type identification in microblog. Behavior and Social Computing - Int. Workshop on Behavior and Social Informatics, BSI 2013 and Int. Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Revised Selected Papers. Springer Verlag, 2013. pp. 151-164 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{657c6dbec37c48dda9b8714de67d9d03,

title = "Interaction-based social relationship type identification in microblog",

abstract = "Relationships in Microblogging services are lack of explicit meaningful labels, such as {"}colleagues{"}, {"}family members{"}, etc. The state-of-the-arts mainly work on mining only one particular relationship type such as advisor-advisee relationship for specific social networks. Moreover, few work focuses on relationship identification in Microblog based on link analysis. In Micro-blog, words in interactive tweets between users may provide clues for relationship type identification. In this study, we propose a two-step framework to infer the different social relationship types between users in Microblog. Firstly, a generative model UIRCT (User Interaction-based Relationship-related Community Topic) is proposed to discover relationship-related communities based on interactive content between users. We then profile the discovered communities with different relationship type labels by utilizing external resource. Experiment results on Sina Weibo dataset demonstrate that our proposed framework can identify different meaningful relationship types effectively.",

keywords = "Community discovery, Generative models, Interactive tweets, Relationship type identification",

author = "Qiao Deng and Zhoujun Li and Xiaoming Zhang and Jiali Xia",

year = "2013",

doi = "10.1007/978-3-319-04048-6\_14",

language = "英语",

isbn = "9783319040479",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "151--164",

booktitle = "Behavior and Social Computing - Int. Workshop on Behavior and Social Informatics, BSI 2013 and Int. Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Revised Selected Papers",

address = "德国",

note = "International Workshop on Behavior and Social Informatics, BSI 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013 ; Conference date: 03-08-2013 Through 09-08-2013",

}

Deng, Q, Li, Z , Zhang, X & Xia, J 2013, Interaction-based social relationship type identification in microblog. in Behavior and Social Computing - Int. Workshop on Behavior and Social Informatics, BSI 2013 and Int. Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8178 LNAI, Springer Verlag, pp. 151-164, International Workshop on Behavior and Social Informatics, BSI 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, 3/08/13. https://doi.org/10.1007/978-3-319-04048-6_14

Interaction-based social relationship type identification in microblog. / Deng, Qiao; Li, Zhoujun ; Zhang, Xiaoming et al.
Behavior and Social Computing - Int. Workshop on Behavior and Social Informatics, BSI 2013 and Int. Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Revised Selected Papers. Springer Verlag, 2013. p. 151-164 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8178 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Interaction-based social relationship type identification in microblog

AU - Deng, Qiao

AU - Li, Zhoujun

AU - Zhang, Xiaoming

AU - Xia, Jiali

PY - 2013

Y1 - 2013

N2 - Relationships in Microblogging services are lack of explicit meaningful labels, such as "colleagues", "family members", etc. The state-of-the-arts mainly work on mining only one particular relationship type such as advisor-advisee relationship for specific social networks. Moreover, few work focuses on relationship identification in Microblog based on link analysis. In Micro-blog, words in interactive tweets between users may provide clues for relationship type identification. In this study, we propose a two-step framework to infer the different social relationship types between users in Microblog. Firstly, a generative model UIRCT (User Interaction-based Relationship-related Community Topic) is proposed to discover relationship-related communities based on interactive content between users. We then profile the discovered communities with different relationship type labels by utilizing external resource. Experiment results on Sina Weibo dataset demonstrate that our proposed framework can identify different meaningful relationship types effectively.

AB - Relationships in Microblogging services are lack of explicit meaningful labels, such as "colleagues", "family members", etc. The state-of-the-arts mainly work on mining only one particular relationship type such as advisor-advisee relationship for specific social networks. Moreover, few work focuses on relationship identification in Microblog based on link analysis. In Micro-blog, words in interactive tweets between users may provide clues for relationship type identification. In this study, we propose a two-step framework to infer the different social relationship types between users in Microblog. Firstly, a generative model UIRCT (User Interaction-based Relationship-related Community Topic) is proposed to discover relationship-related communities based on interactive content between users. We then profile the discovered communities with different relationship type labels by utilizing external resource. Experiment results on Sina Weibo dataset demonstrate that our proposed framework can identify different meaningful relationship types effectively.

KW - Community discovery

KW - Generative models

KW - Interactive tweets

KW - Relationship type identification

UR - https://www.scopus.com/pages/publications/84894182811

U2 - 10.1007/978-3-319-04048-6_14

DO - 10.1007/978-3-319-04048-6_14

M3 - 会议稿件

AN - SCOPUS:84894182811

SN - 9783319040479

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 151

EP - 164

BT - Behavior and Social Computing - Int. Workshop on Behavior and Social Informatics, BSI 2013 and Int. Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Revised Selected Papers

PB - Springer Verlag

T2 - International Workshop on Behavior and Social Informatics, BSI 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013

Y2 - 3 August 2013 through 9 August 2013

ER -

Deng Q, Li Z , Zhang X, Xia J. Interaction-based social relationship type identification in microblog. In Behavior and Social Computing - Int. Workshop on Behavior and Social Informatics, BSI 2013 and Int. Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Revised Selected Papers. Springer Verlag. 2013. p. 151-164. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-04048-6_14

Interaction-based social relationship type identification in microblog

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this