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Ee-Peng Lim

Biographic Data

ID216081
NAMEEe-Peng Lim
GIVEN NAMESEe-Peng
FAMILY NAMELim
SIGNATURELIM E
AFFILIATIONSSingapore Management University
ORCID0000-0003-0065-8665
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS4
AUTHOR COUNT5
EDITOR COUNT1
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Advances in Knowledge Discovery and Data Mining

    Open Access•PAKDD Online, Hady W Lauw et al.•BOOK•Advances in Knowledge Discovery…•2020

  • Advances in Knowledge Discovery and Data Mining

    Alexandros Ntoulas, David Cheung et al.•BOOK•Advances in Knowledge Discovery…•2020

  • The Retransmission of Rumor and Rumor Correction Messages on Twitter

    Open Access•Alton Y K Chua, Cheng-Ying Tee et al.•ARTICLE•American Behavioral Scientist•2017•Cited by: 4•References: 26

    This article seeks to examine the relationships among source credibility, message plausibility, message type (rumor or rumor correction) and retransmission of tweets in a rumoring situation. From a total of 5,885 tweets related to the rumored death of the founding father of Singapore Lee Kuan Yew, 357 original tweets without an "RT" prefix were selected and analyzed using negative binomial regression analysis. The results show that source credibi…

  • Collaboration Patterns in Software Developer Network

    Open Access•Didi Surian, David Lo et al.•CHAPTER•Encyclopedia of Social Network…•2014

  • Influentials, novelty, and social contagion

    Open Access•N M Harrigan, Nicholas Harrigan et al.•ARTICLE•Social Networks•2012

  • TwitterRank

    Open Access•Jianshu Weng, Ee-Peng Lim et al.•CONFERENCE•Proceedings of the third ACM…•2010

    This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networking model called "following", in which each user can choose who she wants to "follow" to receive tweets from without requiring the latter to give permission first. In a dataset prepared for this study, it is observed that (1) 72.4% of the users in Twitter follow more than …

  • The Retransmission of Rumor and Rumor Correction Messages on Twitter

    Open Access•Alton Y K Chua, Cheng-Ying Tee et al.•ARTICLE•American Behavioral Scientist•2017•Cited by: 4•References: 26

    This article seeks to examine the relationships among source credibility, message plausibility, message type (rumor or rumor correction) and retransmission of tweets in a rumoring situation. From a total of 5,885 tweets related to the rumored death of the founding father of Singapore Lee Kuan Yew, 357 original tweets without an "RT" prefix were selected and analyzed using negative binomial regression analysis. The results show that source credibi…

  • TwitterRank

    Open Access•Jianshu Weng, Ee-Peng Lim et al.•CONFERENCE•Proceedings of the third ACM…•2010

    This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networking model called "following", in which each user can choose who she wants to "follow" to receive tweets from without requiring the latter to give permission first. In a dataset prepared for this study, it is observed that (1) 72.4% of the users in Twitter follow more than …

  • Influentials, novelty, and social contagion

    Open Access•N M Harrigan, Nicholas Harrigan et al.•ARTICLE•Social Networks•2012

  • Collaboration Patterns in Software Developer Network

    Open Access•Didi Surian, David Lo et al.•CHAPTER•Encyclopedia of Social Network…•2014

  • The Retransmission of Rumor and Rumor Correction Messages on Twitter

    Open Access•Alton Y K Chua, Cheng-Ying Tee et al.•ARTICLE•American Behavioral Scientist•2017•Cited by: 4•References: 26

    This article seeks to examine the relationships among source credibility, message plausibility, message type (rumor or rumor correction) and retransmission of tweets in a rumoring situation. From a total of 5,885 tweets related to the rumored death of the founding father of Singapore Lee Kuan Yew, 357 original tweets without an "RT" prefix were selected and analyzed using negative binomial regression analysis. The results show that source credibi…

  • Advances in Knowledge Discovery and Data Mining

    Open Access•PAKDD Online, Hady W Lauw et al.•BOOK•Advances in Knowledge Discovery…•2020

  • Advances in Knowledge Discovery and Data Mining

    Alexandros Ntoulas, David Cheung et al.•BOOK•Advances in Knowledge Discovery…•2020

Computer Science (4 works) · Complex Network Analysis Techniques (2 works) · Homophily (2 works) · Information retrieval (2 works) · Opinion Dynamics and Social Influence (2 works) · Social media (2 works) · World Wide Web (2 works) · Advanced Graph Neural Networks (1 works) · Artificial intelligence (1 works) · Artificial Intelligence (1 works)

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