Meeting Strangers and Friends of Friends: How Random Are Social Networks?
Stanford University · Northwestern University · +1 more institution
Abstract
We present a dynamic model of network formation where nodes find other nodes with whom to form links in two ways: some are found uniformly at random, while others are found by searching locally through the current structure of the network (e.g., meeting friends of friends). This combination of meeting processes results in a spectrum of features exhibited by large social networks, including the presence of more high- and low-degree nodes than when links are formed independently at random, having low distances between nodes in the network, and having high clustering of links on a local level. We fit the model to data from six networks and impute the relative ratio of random to network-based meetings in link…
Citation impact
- FWCI
- 24.27
- Percentile
- 100%
- References
- 63
Authors
2Topics & keywords
- Random graph
- Dominance (genetics)
- Network formation
- Social network (sociolinguistics)
- Cluster analysis
- Preferential attachment
- Stochastic dominance
- Computer science
- Reduced inequalities