Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

On the role of conductance, geography and topology in predicting hashtag virality

Bibliographic Data

ID16859089
AuthorsSiddharth Bora (Indian Institute of Technology Delhi), Harvineet Singh (0000-0003-0166-9331, Indian Institute of Technology Delhi), Anirban Sen (0000-0002-2337-7957, Indian Institute of Technology Delhi), Amitabha Bagchi (0000-0003-0694-0602, Indian Institute of Technology Delhi, corresponding author), Parag Singla (0009-0000-9190-9794, Indian Institute of Technology Delhi)
LanguageEN
References cited31

Conductance · Data science · Physics · Complex Network Analysis Techniques · Computer Science · Engineering · Mathematics · Opinion Dynamics and Social Influence · Sentiment Analysis and Opinion Mining · Condensed Matter Physics

  • Competition among memes in a world with limited attention

    Open Access•Li Weng, Alessandro Flammini et al.•Scientific Reports•2012

  • Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network

    Bongwon Suh, Lichan Hong et al.•2010 IEEE Second International…•2010

  • Virality Prediction and Community Structure in Social Networks

    Open Access•Lilian Weng, Filippo Menczer et al.•Scientific Reports•2013

  • Good Friends, Bad News - Affect and Virality in Twitter

    Open Access•Lars Kai Hansen, A Arvidsson et al.•Future Information Technology•2011

  • Differences in the mechanics of information diffusion across topics

    Open Access•Daniel M Romero, Brendan Meeder et al.•Proceedings of the 20th…•2011

  • Identification of influential spreaders in complex networks

    Open Access•Maksim Kitsak, Lazaros K Gallos et al.•Nature Physics•2010

  • Rumor and Communication in Asia in the Internet Age

    Greg Dalziel•Rumor and Communication in Asia…•2013

Highly citedNo
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae