The evolution and structure of social networks
Bibliographic Data
| ID | 6161671 |
|---|---|
| Authors | Whitman Richards (Massachusetts Institute of Technology), Nicholas Wormald (Monash University) |
| Year | 2014 |
| Volume | 2 |
| Issue | 3 |
| Pages | 326-340 |
| Publication date | 2014-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Network Science (JOURNAL) |
| Journal identifiers | ISSN: 2050-1250 • E-ISSN: 2050-1242 |
| Publisher | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/nws.2014.24 |
| OpenAlex | W2333557618 |
| Language | EN |
| Citations received | 1 |
| References cited | 27 |
As social networks evolve, new nodes are linked to the large-scale organization already in place. We show that the combination of two simple algorithms, one the Barabasi-Albert preferential attachment proposal and the other a neighbor attachment rule, successfully generate networks exhibiting both the local and global characteristics of empirical data on social network structures. Ideally, one might hope that some coarse features of this linking process and the form of the local patterns might enable the prediction of large-scale properties. We show that this is generally not the case. This might help explain the variety of local and global patterns in empirical networks
Complex network · Data science · Epistemology · Geography · Local structure · Network structure · Preferential attachment · Process (computing · Scale (ratio · Simple (philosophy · Variety (cybernetics · World Wide Web · Complex Network Analysis Techniques · Computer Science · Evolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence · Artificial Intelligence · Theoretical Computer Science
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0.2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |