The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Virality Prediction and Community Structure in Social Networks
Open accessAbstract
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 few viral memes spread across many communities, like diseases. We demonstrate that the future popularity of a meme can be predicted by quantifying its early spreading pattern in terms of community concentration. The more communities a meme permeates, the more viral it is. We present a practical method to translate data about community structure into predictive knowledge about what information will spread widely. This connection contributes to our understanding in computational social science, social media analytics, and marketing applications.
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Birds of a Feather: Homophily in Social Networks
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Cited by
Optimal Network Modularity for Information Diffusion
Nematzadeh, A., Ferrara, E., Flammini, A., & Ahn, Y.-Y. (2014) · Physical Review Letters · doi:10.1103/physrevlett.113.088701 · Cited by 300
Self-citationA Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Zhou, F., Xu, X., Trajcevski, G., & Zhang, K. (2022) · ACM Computing Surveys · doi:10.1145/3433000 · Cited by 259
How algorithmic popularity bias hinders or promotes quality
Ciampaglia, G. L., Nematzadeh, A., Menczer, F., & Flammini, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-34203-2 · Cited by 204
Self-citationWhat makes cancer information viral on social media?
Wang, X., Chen, L., Shi, J., & Peng, T.-Q. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.024 · Cited by 93
Alhabash, S., Almutairi, N., Lou, C., & Kim, W. (2019) · Media Psychology · doi:10.1080/15213269.2017.1416296 · Cited by 80
Metadata
- Authors
- Weng, L., Menczer, F., & Ahn, Y.-Y.
- Venue
- Scientific Reports
- Published
- 2013-08-28
- Volume
- 3
- Issue
- 1
- Pages
- 2522-2522
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2156716308
- Cited by
- 512
- References
- 44
- FWCI
- 26.79
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
