TY - GEN
T1 - The diffusion of viral content in multi-layered social networks
AU - Jankowski, Jarosław
AU - Kozielski, Michał
AU - Filipowski, Wojciech
AU - Michalski, Radosałw
PY - 2013
Y1 - 2013
N2 - Modelling the diffusion of information is one of the key areas related to activity within social networks. In this field, there is recent research associated with the use of community detection algorithms and the analysis of how the structure of communities is affecting the spread of information. The purpose of this article is to examine the mechanisms of diffusion of viral content with particular emphasis on cross community diffusion.
AB - Modelling the diffusion of information is one of the key areas related to activity within social networks. In this field, there is recent research associated with the use of community detection algorithms and the analysis of how the structure of communities is affecting the spread of information. The purpose of this article is to examine the mechanisms of diffusion of viral content with particular emphasis on cross community diffusion.
KW - Clustering algorithms
KW - Diffusion of information
KW - Multi-layered social networks
KW - Multiplex networks
KW - Social network analysis
UR - https://www.scopus.com/pages/publications/84892915141
U2 - 10.1007/978-3-642-40495-5_4
DO - 10.1007/978-3-642-40495-5_4
M3 - Conference contribution
AN - SCOPUS:84892915141
SN - 9783642404948
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 30
EP - 39
BT - Computational Collective Intelligence Technologies and Applications - 5th International Conference, ICCCI 2013, Proceedings
T2 - 5th International Conference on Computational Collective Intelligence Technologies and Applications, ICCCI 2013
Y2 - 11 September 2013 through 13 September 2013
ER -