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Study of Influential Trends, Communities, and Websites on the Post-election Events of Iranian Presidential Election in Twitter

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Book cover Social Network Analysis - Community Detection and Evolution

Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

The Iranian presidential election and its post-events was the most engaging topic of the year 2009 among Twitter users. In this paper, we study the social network among the users that were engaged in that topic during an 18 month period of observation. We analyze the content of tweets that were published in English or Persian by Iranian people or others around the world and extract the most trending topics in critical days. We also study the sub-communities.

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Notes

  1. 1.

    Down Time Rescheduled. The official Twitter blog. [online] http://blog.twitter.com/2009/06/down-time-rescheduled.html.

  2. 2.

    Launching Facebook in Persian. The Official Facebook Blog. [online] http://www.facebook.com/blog.php?post=97122772130.

  3. 3.

    Google translates Persian. The official Google Blog. [online] http://googleblog.blogspot.com/2009/06/google-translates-persian.html.

  4. 4.

    Top Twitter Trends of 2009. The Official Twitter Blog. [online] http://blog.twitter.com/2009/12/top-twitter-trends-of-2009.html.

  5. 5.

    A corpus is a collection of documents.

  6. 6.

    http://gephi.github.io.

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Acknowledgments

We would like to thank Kaveh Ketabchi for his helps on collecting the dataset.

Author information

Authors and Affiliations

  1. Social Networks Lab, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

    Seyed Amin Tabatabaei & Masoud Asadpour

Authors
  1. Seyed Amin Tabatabaei
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  2. Masoud Asadpour
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Corresponding author

Correspondence to Masoud Asadpour .

Editor information

Editors and Affiliations

  1. Département d'Informatique et Ingénirie, Université du Québec en Outaouais, Gatineau, Québec, Canada

    Rokia Missaoui

  2. Département de Mathématiques et Informatique, Université Cheikh Anta Diop, Dakar, Senegal

    Idrissa Sarr

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© 2014 Springer International Publishing Switzerland

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Tabatabaei, S.A., Asadpour, M. (2014). Study of Influential Trends, Communities, and Websites on the Post-election Events of Iranian Presidential Election in Twitter. In: Missaoui, R., Sarr, I. (eds) Social Network Analysis - Community Detection and Evolution. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-12188-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-12188-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12187-1

  • Online ISBN: 978-3-319-12188-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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