The dynamical strength of social ties in information spreading
By G. Miritello, Esteban Moro Egido, Rubén Lara. Physical review. E, Statistical, nonlinear, and soft matter physics, 2010
295 citations recorded by the source corpus.
We investigate the temporal patterns of human communication and its influence on the spreading of information in social networks. The analysis of mobile phone calls of 20 million people in one country shows that human communication is bursty and happens in group conversations. These features have the opposite effects on the reach of the information: while bursts hinder propagation at large scales, conversations favor local rapid cascades. To explain these phenomena we define the dynamical strength of social ties, a quantity that encompasses both the topological and the temporal patterns of human communication.
Subfields: Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/2f82d58425dd13de4a89d470f48321e7f3811a13
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In Sociology and Political Science
- Zhen Wang
- Matjaz Perc
- Nicola Perra
- Chris T. Bauch
- Alberto d'Onofrio
- Dawei Zhao
- Samit Bhattacharyya
- J. Saramaki
In Statistical and Nonlinear Physics
- Matjaz Perc
- Petter Holme
- Zhen Wang
- János Kertész
- J. Saramaki
- Kimmo K. Kaski
- Gábor Rétvári
- András Gulyás
Citations in the corpus
- Statistical physics of vaccination (2016, background): “The temporal features describing mobile phone networks are similar to those of actual closed proximity interactions [591, 680, 681, 759].”
- Temporal Networks (2011, methodology): “[27] also used mobile telephone call records (9 billion time-stamped calls of 20 million users over 11 months) in their studies of simulated information spreading.”
- Analytically Solvable Model of Spreading Dynamics with Non-Poissonian Processes (2013, background): “[17] Giovanna Miritello, Esteban Moro, and Rubén Lara, “Dynamical strength of social ties in information spreading,” Physical Review E 83, 045102+ (2011).”
- Navigable networks as Nash equilibria of navigation games (2014, methodology): “We have also performed more extensive numerical experiments showing that average clustering does not significantly depend on the average degree for δ ∈ [10−8, 10−2] and R ∈ [10, 20].”
- Modern temporal network theory: a colloquium (2015, background): “Miritello, Moro and Lara [196] map a spreading problem to percolation.”