Models of social networks based on social distance attachment.
By Marián Boguñá, Romualdo Pastor-Satorras, Albert Díaz-Guilera, Alex Arenas. Physical review. E, Statistical, nonlinear, and soft matter physics, 2004
732 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/6091e229d3035afa83ca69e74384e83887d2b7b8
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In Computer Networks and Communications
- Sergio Gómez
- Francisco Aparecido Rodrigues
- Marc Barthelemy
- Alex Arenas
- Alberto Fernández
- Boleslaw K. Szymanski
- Osvaldo Novaes de Oliveira Jr.
- Luciano da Fontoura Costa
In Statistical and Nonlinear Physics
- Santo Fortunato
- Alex Arenas
- Sergio Gómez
- Francisco Aparecido Rodrigues
- Mark Newman
- Luciano da Fontoura Costa
- P. R. Villas Boas
- Gonzalo Travieso
Citations in the corpus
- Spatial Networks (2010, background): “In particular, in [56], the probability that two individuals are connected decreases with a particular distance between these individuals.”
- Spatial Science and Network Science: Review and Outcomes of a Complex Relationship (2014, result): “Similar results were found on the basis of social distance (Boguna et al., 2004).”
- Identifying influential spreaders in complex networks based on gravity formula (2015, methodology): “Enlighten by the idea of classical gravity formula proposed by Isaac Newton, we can view the k-shell value of node i as its mass, and the shortest path distance between two nodes in network is viewed as their distance.”
- Size reduction of complex networks preserving modularity (2007, methodology): “Size reduction of complex networks preserving modularity 12 The networks analyzed are: the Zachary’s karate club network [16], the Jazz musicians network [17], the e-mail network of the University Rovira i Virgili [18], the airports network with data about passenger flights operating in the time per”
- Overlapping community detection in networks: The state-of-the-art and comparative study (2011, methodology): “PGP: a network of users of the Pretty-Good-Privacy algorithm [Boguna et al. 2004].”
- Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “considered only bidirectional signatures in the PGP web of trust [55] wh ich results in a stronger sense of trust since both sides must sign each other’s keys.”