Social networks
By Dirk Fox. Science, 2009
1,204 citations recorded by the source corpus.
Subfields: Communication, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/a6666df87ce38073f897dbbe2724f0d197ef05eb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
In Statistical and Nonlinear Physics
- Santo Fortunato
- Mark Newman
- Brian Karrer
- Marc Barthelemy
- Olaf Sporns
- J. Saramaki
- José J. Ramasco
- Jure Leskovec
Citations in the corpus
- Path lengths, correlations, and centrality in temporal networks (2011, background): “This view is commonly adopted in epidemiological modeling in the form of concurrency or transmission graphs [9, 10] – e.g. for sexually transmitted diseases, links represent partnerships that have a beginning and an end, and the prevalence of multiple simultaneous partnerships has significant effects…”
- What is Web 2.0? Ideas, technologies and implications for education (2007, neutral): “Alternatively, restricting access to registered users only, is often used for professional, work group wikis (Cych, 2006).”
- Modularity and community detection in bipartite networks. (2007, neutral): “An additional algo- 2 rithm fundamentally based on the bipartite character of the networks is introduced; we call the algorithm BRIM, for bipartite, recursively induced modules.”
- Community Structure in Congressional Cosponsorship Networks (2007, neutral): “A O ] 4 N ov 2 00 7”
- Students with Exceptionalities and the Peer Group Context of Bullying and Victimization in Late Elementary School (2009, neutral): “1997), and students who are at the extremes of school functioning tend to have peer affiliation patterns that are distinct from those of general education students (Farmer and Hollowell 1994; Pearl et al. 1998).”
- Recent developments in exponential random graph (p*) models for social networks (2007, neutral): “This article reviews new specifications for exponential random graph models proposed by Snijders et al. [Snijders, T.A.B., Pattison, P., Robins, G.L., Handcock, M., 2006.”
- Yes, there is a correlation: - from social networks to personal behavior on the web (2008, neutral): “We also found that the more time a user spends per message, the more likely it is that he/she is talking to someone of the opposite gender.”