Local Variation of Hashtag Spike Trains and Popularity in Twitter

Céyda Sanli Cakir; Renaud Lambiotte

doi:10.1371/journal. pone.0131704

Local Variation of Hashtag Spike Trains and Popularity in Twitter

Céyda Sanli Cakir, Renaud Lambiotte

Namur Institute for Complex Systems

Résultats de recherche: Contribution à un journal/une revue › Article › Revue par des pairs

Résumé

We draw a parallel between hashtag time series and neuron spike trains. In each case, the process presents complex dynamic patterns including temporal correlations, burstiness, and all other types of nonstationarity. We propose the adoption of the so-called local variation in order to uncover salient dynamical properties, while properly detrending for the time-dependent features of a signal. The methodology is tested on both real and randomized hashtag spike trains, and identifies that popular hashtags present regular and so less bursty behavior, suggesting its potential use for predicting online popularity in social media.

langue originale	Anglais
Numéro d'article	e0131704
Nombre de pages	18
journal	PLoS ONE
Volume	10
Numéro de publication	7
Date de mise en ligne précoce	10 juil. 2015
Les DOIs	https://doi.org/10.1371/journal. pone.0131704
Etat de la publication	Publié - 10 juil. 2015

Accès au document

10.1371/journal. pone.0131704

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0131704

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Link to publication in Scopus

24 Citations
1 Article dans les actes d'une conférence/un colloque
1 Poster

Local variation of collective attention in hashtag spike trains
Sanli Cakir, C. & Lambiotte, R., 22 avr. 2015, AAAI Workshop - Technical Report: Ninth International AAAI Conference on Web and Social Media: Papers from the 2015 ICWSM Workshop. AI Access Foundation, Vol WS-15-17. p. 8-12 5 p.
Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

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Fluctuations drive viral memes in online social media: "Integrating criticality into network science"
Sanli Cakir, C. & Lambiotte, R., 5 juin 2014.
Résultats de recherche: Contribution à un événement scientifique (non publié) › Poster

Contient cette citation

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Local Variation of Hashtag Spike Trains and Popularity in Twitter

Résumé

Accès au document

Autres fichiers et liens

Empreinte digitale

Résultat de recherche

Local variation of collective attention in hashtag spike trains

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

Contient cette citation