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Spreading gossip in social networks.
Pedro G Lind1, Luciano R da Silva, José S Andrade
1Institute for Computational Physics, Universität Stuttgart, Pfaffenwaldring 27, D-70569 Stuttgart, Germany.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 13, 2007
Summary
Information spreads faster in social networks with more connections. The study introduces spread factor and spreading time to model gossip, finding friendship count impacts gossip probability.
Area of Science:
- Network Science
- Information Theory
- Sociology
Background:
- Information propagation in social networks is complex.
- Understanding gossip dynamics is crucial for social network analysis.
Purpose of the Study:
- To introduce and analyze a simple model for information propagation, focusing on gossip.
- To define and measure 'spread factor' and 'spreading time' in social networks.
Main Methods:
- Developed a model of information propagation with spread factor and spreading time.
- Applied the model to real-world social acquaintance networks.
- Compared spreading dynamics with scale-free and small-world network models.
Main Results:
- The number of friendship connections significantly influences the likelihood of an individual being gossiped.
- Empirical social networks exhibit distinct spreading dynamics compared to theoretical models.
- The spread factor effectively quantifies information reachability.
Conclusions:
- The study provides a quantifiable model for understanding information and gossip propagation.
- Network structure, particularly the number of connections, is a key determinant of information spread.
- The spread factor has potential applications beyond social networks.
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