poster

Why you follow: a classification scheme for twitter follow links

Authors:

Atsushi Tanaka,

Hikaru Takemura,

Keishi TajimaAuthors Info & Claims

HT '14: Proceedings of the 25th ACM conference on Hypertext and social media

Pages 324 - 326

https://doi.org/10.1145/2631775.2631790

Published: 01 September 2014 Publication History

Abstract

Twitter is used for various purposes, such as, information publishing/gathering, open discussions, and personal communications. As a result, there are various types of follow links. In this paper, we propose a scheme for classifying follow links according to the followers' intention. The scheme consists of three axes: user-orientation, content-orientation, and mutuality. The combination of these three axes can classify most major types of follow links. Our experimental results suggest that the type of a follow link does not solely depend on the type of the followee nor solely on the type of the follower. The results also suggest that the proposed three axes are highly independent of one another.

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Cited By

Fushimi TMiyazaki T(2024)Classification of Following Intentions Using Multi-layer Motif Analysis of Communication Density and Symmetry Among UsersComplex Networks & Their Applications XII10.1007/978-3-031-53472-0_4(37-48)Online publication date: 21-Feb-2024
https://doi.org/10.1007/978-3-031-53472-0_4
Aiordăchioae APamparău CVatavu R(2021)Lifelogging meets alternate and cross-realities: an investigation into broadcasting personal visual realities to remote audiencesMultimedia Tools and Applications10.1007/s11042-021-11310-383:15(46707-46730)Online publication date: 14-Aug-2021
https://doi.org/10.1007/s11042-021-11310-3
Dhawan SSingh KChauhan P(2019)Sentiment Analysis of Twitter Data in Online Social Network2019 5th International Conference on Signal Processing, Computing and Control (ISPCC)10.1109/ISPCC48220.2019.8988450(255-259)Online publication date: Oct-2019
https://doi.org/10.1109/ISPCC48220.2019.8988450
Show More Cited By

Index Terms

Why you follow: a classification scheme for twitter follow links
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

HT '14: Proceedings of the 25th ACM conference on Hypertext and social media

September 2014

346 pages

ISBN:9781450329545

DOI:10.1145/2631775

General Chairs:
Leo Ferres
University of Concepción, Chile
,
Gustavo Rossi
University of La Plata, Argentina
,
Program Chairs:
Virgilio Almeida
Federal University of Minas Gerais, Brazil
,
Eelco Herder
L3S Research Center, Germany

Copyright © 2014 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2014

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HT '14

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SIGWEB

HT '14: 25th ACM Conference on Hypertext and Social Media

September 1 - 4, 2014

Santiago, Chile

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HT '14 Paper Acceptance Rate 49 of 86 submissions, 57%;

Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

Fushimi TMiyazaki T(2024)Classification of Following Intentions Using Multi-layer Motif Analysis of Communication Density and Symmetry Among UsersComplex Networks & Their Applications XII10.1007/978-3-031-53472-0_4(37-48)Online publication date: 21-Feb-2024
https://doi.org/10.1007/978-3-031-53472-0_4
Aiordăchioae APamparău CVatavu R(2021)Lifelogging meets alternate and cross-realities: an investigation into broadcasting personal visual realities to remote audiencesMultimedia Tools and Applications10.1007/s11042-021-11310-383:15(46707-46730)Online publication date: 14-Aug-2021
https://doi.org/10.1007/s11042-021-11310-3
Dhawan SSingh KChauhan P(2019)Sentiment Analysis of Twitter Data in Online Social Network2019 5th International Conference on Signal Processing, Computing and Control (ISPCC)10.1109/ISPCC48220.2019.8988450(255-259)Online publication date: Oct-2019
https://doi.org/10.1109/ISPCC48220.2019.8988450
Tago KTakagi KKasuya SJin Q(2019)Analyzing influence of emotional tweets on user relationships using Naive Bayes and dependency parsingWorld Wide Web10.1007/s11280-018-0587-922:3(1263-1278)Online publication date: 21-May-2019
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Imamori DTajima KMukhopadhyay SZhai CBertino ECrestani FMostafa JTang JSi LZhou XChang YLi YSondhi P(2016)Predicting Popularity of Twitter Accounts through the Discovery of Link-Propagating Early AdoptersProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983859(639-648)Online publication date: 24-Oct-2016
https://dl.acm.org/doi/10.1145/2983323.2983859
Takemura HTajima KBlustein JHerder ERubart JAshman H(2016)Classification of Twitter Accounts into Targeting Accounts and Non-Targeting AccountsProceedings of the 27th ACM Conference on Hypertext and Social Media10.1145/2914586.2914639(291-296)Online publication date: 10-Jul-2016
https://dl.acm.org/doi/10.1145/2914586.2914639
Yamaguchi YYoshida MFaloutsos CKitagawa HGangemi ALeonardi SPanconesi A(2015)Why Do You Follow Him?Proceedings of the 24th International Conference on World Wide Web10.1145/2740908.2742715(137-138)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2740908.2742715
Takemura HTanaka ATajima KWainwright RCorchado JBechini AHong J(2015)Classification of Twitter follow links based on the followers' intentionProceedings of the 30th Annual ACM Symposium on Applied Computing10.1145/2695664.2695940(1174-1180)Online publication date: 13-Apr-2015
https://dl.acm.org/doi/10.1145/2695664.2695940

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