31 citations · 57 across the 7 of their papers we have counts for
Showing 2015 · cs.SIShow all
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cs.SI2015★ 7 cited
Temporal Pattern of Online Communication Spike Trains in Spreading a Scientific Rumor: How Often, Who Interacts with Whom?
Ceyda Sanli, Renaud Lambiotte
We study complex time series (spike trains) of online user communication while spreading messages about the discovery of the Higgs boson in Twitter. We focus on online social inter…
cs.SI2015★ 2 cited
Local Variation of Collective Attention in Hashtag Spike Trains
Ceyda Sanli, Renaud Lambiotte
In this paper, we propose a methodology quantifying temporal patterns of nonlinear hashtag time series. Our approach is based on an analogy between neuron spikes and hashtag diffus…
cs.SI2015★ 31 cited
Local variation of hashtag spike trains and popularity in Twitter
Ceyda Sanlı, Renaud Lambiotte
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…