Virality Prediction and Community Structure in Social Networks

@article{Weng2013ViralityPA,
  title={Virality Prediction and Community Structure in Social Networks},
  author={Lilian Weng and F. Menczer and Yong-Yeol Ahn},
  journal={Scientific Reports},
  year={2013},
  volume={3}
}
  • Lilian Weng, F. Menczer, Yong-Yeol Ahn
  • Published 2013
  • Sociology, Computer Science, Physics, Medicine
  • Scientific Reports
  • How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most memes indeed spread like complex contagions, a… CONTINUE READING
    417 Citations

    Figures and Topics from this paper

    Scalable Detection of Viral Memes from Diffusion Patterns
    • 3
    • PDF
    Understanding spreading patterns on social networks based on network topology
    • 20
    • PDF
    Empirical Analysis of the Relation between Community Structure and Cascading Retweet Diffusion
    • 2
    • Highly Influenced
    Infectivity enhances prediction of viral cascades in Twitter
    • 1
    • PDF
    Community Aware Models of Meme Spreading in Micro-blog Social Networks
    • Highly Influenced
    • PDF
    Predicting Virality on Networks Using Local Graphlet Frequency Distribution
    • PDF
    Determinants of Meme Popularity
    • 11
    • PDF
    The roles of network communities in social information diffusion
    • 10
    • Highly Influenced
    Structure Pattern Analysis and Cascade Prediction in Social Networks
    • 4
    Identifying the most influential communities on the dissemination of information on social networks
    • M. Karami, A. Ghasemi
    • Computer Science
    • 2020 28th Iranian Conference on Electrical Engineering (ICEE)
    • 2020
    • Highly Influenced

    References

    SHOWING 1-10 OF 58 REFERENCES
    Structural diversity in social contagion
    • 455
    • PDF
    Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
    • 1,075
    • PDF
    Competition among memes in a world with limited attention
    • 449
    • PDF
    The Spread of Behavior in an Online Social Network Experiment
    • 1,764
    • PDF
    Maps of random walks on complex networks reveal community structure
    • 2,942
    • PDF
    Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media
    • 227
    • PDF
    On the Interplay between Social and Topical Structure
    • 90
    • PDF