Article

Active microbloggers: identifying influencers, leaders and discussers in microblogging networks

Authors:

Lamjed Ben Jabeur,

Lynda Tamine,

Mohand BoughanemAuthors Info & Claims

SPIRE'12: Proceedings of the 19th international conference on String Processing and Information Retrieval

Pages 111 - 117

https://doi.org/10.1007/978-3-642-34109-0_12

Published: 21 October 2012 Publication History

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Abstract

This paper presents a social approach for identifying key actors in microblogging social network. In particular, we propose three specific link analysis algorithms called InfRank, LeadRank and DiscussRank that identify influencers, leaders and discussers, respectively. Conducted experiments on TREC 2011 Microblog dataset, show that the proposed algorithms outperform close microblogger ranking approaches.

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Yamakawa MTajima K(2023)A Centrality for Social Media Users Focusing on Information-Gathering AbilityProceedings of the 34th ACM Conference on Hypertext and Social Media10.1145/3603163.3609047(1-9)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1145/3603163.3609047
Aboucaya WAngarita RIssarny V(2022)Detecting obstacles to collaboration in an online participatory democracy platformProceedings of the 2nd International Workshop on Equitable Data and Technology10.1145/3524491.3527307(25-33)Online publication date: 19-May-2022
https://dl.acm.org/doi/10.1145/3524491.3527307
De Salve AMori PGuidi BRicci LPietro R(2021)Predicting Influential Users in Online Social Network GroupsACM Transactions on Knowledge Discovery from Data10.1145/344144715:3(1-50)Online publication date: 21-Apr-2021
https://dl.acm.org/doi/10.1145/3441447
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Published In

SPIRE'12: Proceedings of the 19th international conference on String Processing and Information Retrieval

October 2012

410 pages

ISBN:9783642341083

Editors:
Liliana Calderón-Benavides
Information Technologies Research Group, Universidad Autónoma de Bucaramanga, Bucaramanga, Colombia
,
Cristina González-Caro
Information Technologies and Research Group, Universidad Autónoma de Bucaramanga, Bucaramanga, Colombia
,
Edgar Chávez
School of Physics and Mathematics, Universidad Michoacana, Edificio B, Ciudad Universitaria,, Morelia, Mexico
,
Nivio Ziviani
Department of Computer Science, Universidade Federal de Minas Gerais, Av. Antonio Carlos 6627, Pampulha, Belo Horizonte, Brazil

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Springer-Verlag

Berlin, Heidelberg

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Published: 21 October 2012

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Yamakawa MTajima K(2023)A Centrality for Social Media Users Focusing on Information-Gathering AbilityProceedings of the 34th ACM Conference on Hypertext and Social Media10.1145/3603163.3609047(1-9)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1145/3603163.3609047
Aboucaya WAngarita RIssarny V(2022)Detecting obstacles to collaboration in an online participatory democracy platformProceedings of the 2nd International Workshop on Equitable Data and Technology10.1145/3524491.3527307(25-33)Online publication date: 19-May-2022
https://dl.acm.org/doi/10.1145/3524491.3527307
De Salve AMori PGuidi BRicci LPietro R(2021)Predicting Influential Users in Online Social Network GroupsACM Transactions on Knowledge Discovery from Data10.1145/344144715:3(1-50)Online publication date: 21-Apr-2021
https://dl.acm.org/doi/10.1145/3441447
Al-Garadi MVarathan KRavana SAhmed EMujtaba GKhan MKhan S(2018)Analysis of Online Social Network Connections for Identification of Influential UsersACM Computing Surveys10.1145/315589751:1(1-37)Online publication date: 31-Jan-2018
https://dl.acm.org/doi/10.1145/3155897
Rakoczy MBouzeghoub ALopes Gancarski AWegrzyn-Wolska K(2018)In the Search of Quality Influence on a Small Scale – Micro-influencers DiscoveryOn the Move to Meaningful Internet Systems. OTM 2018 Conferences10.1007/978-3-030-02671-4_8(138-153)Online publication date: 22-Oct-2018
https://dl.acm.org/doi/10.1007/978-3-030-02671-4_8
Pir Mohammadiani RMohammadi SMalik Z(2017)Understanding the relationship strengths in users' activities, review helpfulness and influenceComputers in Human Behavior10.1016/j.chb.2017.03.06575:C(117-129)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1016/j.chb.2017.03.065

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A Heuristic Method of Identifying Key Microbloggers

Mining the interests of Chinese microbloggers via keyword extraction

Mining the Personal Interests of Microbloggers via Exploiting Wikipedia Knowledge

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