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Kimmo Kaski

Showing results (31-40 of 97) with videos related to

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Physical Review. E|December 15, 2016
What Big Data tells: Sampling the social network by communication channelsJános Török, Yohsuke Murase, Hang-Hyun Jo, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 16, 2007
Generalizations of the clustering coefficient to weighted complex networksJari Saramäki, Mikko Kivelä, Jukka-Pekka Onnela, et al.
Proceedings. Biological Sciences|July 25, 2014
Effects of deception in social networksGerardo Iñiguez, Tzipe Govezensky, Robin Dunbar, et al.
Scientific Reports|November 12, 2014
Spatial patterns of close relationships across the lifespanHang-Hyun Jo, Jari Saramäki, Robin I M Dunbar, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2014
Multilayer weighted social network modelYohsuke Murase, János Török, Hang-Hyun Jo, et al.
Journal of the Royal Society, Interface|October 30, 2015
Dynamics of deceptive interactions in social networksRafael A Barrio, Tzipe Govezensky, Robin Dunbar, et al.
Physical Review. E|June 20, 2019
Sampling networks by nodal attributesYohsuke Murase, Hang-Hyun Jo, János Török, et al.
Scientific Reports|March 15, 2019
Structural transition in social networks: The role of homophilyYohsuke Murase, Hang-Hyun Jo, János Török, et al.
Frontiers in Big Data|October 18, 2021
Deep Learning Exploration of Agent-Based Social Network Model ParametersYohsuke Murase, Hang-Hyun Jo, János Török, et al.
Science Advances|May 20, 2020
Cumulative effects of triadic closure and homophily in social networksAili Asikainen, Gerardo Iñiguez, Javier Ureña-Carrión, et al.
Pageof 10

Showing results (31-40 of 97) with videos related to

Sort By:
Pageof 10
Physical Review. E|December 15, 2016
What Big Data tells: Sampling the social network by communication channelsJános Török, Yohsuke Murase, Hang-Hyun Jo, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 16, 2007
Generalizations of the clustering coefficient to weighted complex networksJari Saramäki, Mikko Kivelä, Jukka-Pekka Onnela, et al.
Proceedings. Biological Sciences|July 25, 2014
Effects of deception in social networksGerardo Iñiguez, Tzipe Govezensky, Robin Dunbar, et al.
Scientific Reports|November 12, 2014
Spatial patterns of close relationships across the lifespanHang-Hyun Jo, Jari Saramäki, Robin I M Dunbar, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2014
Multilayer weighted social network modelYohsuke Murase, János Török, Hang-Hyun Jo, et al.
Journal of the Royal Society, Interface|October 30, 2015
Dynamics of deceptive interactions in social networksRafael A Barrio, Tzipe Govezensky, Robin Dunbar, et al.
Physical Review. E|June 20, 2019
Sampling networks by nodal attributesYohsuke Murase, Hang-Hyun Jo, János Török, et al.
Scientific Reports|March 15, 2019
Structural transition in social networks: The role of homophilyYohsuke Murase, Hang-Hyun Jo, János Török, et al.
Frontiers in Big Data|October 18, 2021
Deep Learning Exploration of Agent-Based Social Network Model ParametersYohsuke Murase, Hang-Hyun Jo, János Török, et al.
Science Advances|May 20, 2020
Cumulative effects of triadic closure and homophily in social networksAili Asikainen, Gerardo Iñiguez, Javier Ureña-Carrión, et al.
Pageof 10