Fluctuations drive viral memes in online social media: "Integrating criticality into network science"

Céyda Sanli Cakir, Renaud Lambiotte

Research output: Contribution to conferencePoster

Abstract

Online social media allow users to publish materials and make them freely available for everyone. Research on Twitter has shown that the activity of different users are not independent. Moreover, if certain memes and hashtags are heavily propagated through retweets and mentions, a majority of them attracts no attention. This heterogenous virality could be explained by the fairly small fraction of “active” Twitter users. In analogy with disordered dense systems, e.g. jammed cars in traffic or glassy state of colloids, when the number of elements in a system increases beyond a critical value, a competition emerges for a restricted amount of sources. In this poster, we will present recent work where we analyse Twitter data available with statistical techniques developed for granular flows and argue that nature of fluctuations leading to criticality have a similar behavior.
Original languageEnglish
Publication statusPublished - 5 Jun 2014
EventNetsci 2014 - San Francisco, United States
Duration: 2 Jun 2014 → …

Scientific committee

Scientific committeeNetsci 2014
CountryUnited States
CitySan Francisco
Period2/06/14 → …

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Keywords

  • criticality, Twitter, self-organization, statistical signal processing

Cite this

Sanli Cakir, C., & Lambiotte, R. (2014). Fluctuations drive viral memes in online social media: "Integrating criticality into network science". Poster session presented at Netsci 2014, San Francisco, United States.
Sanli Cakir, Céyda ; Lambiotte, Renaud. / Fluctuations drive viral memes in online social media: "Integrating criticality into network science". Poster session presented at Netsci 2014, San Francisco, United States.
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Fluctuations drive viral memes in online social media: "Integrating criticality into network science". / Sanli Cakir, Céyda; Lambiotte, Renaud.

2014. Poster session presented at Netsci 2014, San Francisco, United States.

Research output: Contribution to conferencePoster

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AU - Lambiotte, Renaud

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AB - Online social media allow users to publish materials and make them freely available for everyone. Research on Twitter has shown that the activity of different users are not independent. Moreover, if certain memes and hashtags are heavily propagated through retweets and mentions, a majority of them attracts no attention. This heterogenous virality could be explained by the fairly small fraction of “active” Twitter users. In analogy with disordered dense systems, e.g. jammed cars in traffic or glassy state of colloids, when the number of elements in a system increases beyond a critical value, a competition emerges for a restricted amount of sources. In this poster, we will present recent work where we analyse Twitter data available with statistical techniques developed for granular flows and argue that nature of fluctuations leading to criticality have a similar behavior.

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M3 - Poster

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Sanli Cakir C, Lambiotte R. Fluctuations drive viral memes in online social media: "Integrating criticality into network science". 2014. Poster session presented at Netsci 2014, San Francisco, United States.