The Structural Virality of Online Diffusion
Stanford University · Microsoft (United States) · +1 more institution
Abstract
Viral products and ideas are intuitively understood to grow through a person-to-person diffusion process analogous to the spread of an infectious disease; however, until recently it has been prohibitively difficult to directly observe purportedly viral events, and thus to rigorously quantify or characterize their structural properties. Here we propose a formal measure of what we label “structural virality” that interpolates between two conceptual extremes: content that gains its popularity through a single, large broadcast and that which grows through multiple generations with any one individual directly responsible for only a fraction of the total adoption. We use this notion of structural virality to analyze…
Citation impact
- FWCI
- 38.36
- Percentile
- 100%
- References
- 63
Authors
4Topics & keywords
- Popularity
- Replicate
- Computer science
- Diversity (politics)
- Diffusion
- Viral marketing
- Data science
- Econometrics