Sampling promotes community structure in social and information networks
N. Blagus, L. Šubelj, G. Weiss, and M. Bajec, “Sampling promotes community structure in social and information networks,” Phys. A Stat. Mech. its Appl., p. 15, 2015.
(more)
Large networks grow smaller: How to choose the right simplification method?
N. Blagus, L. Šubelj, G. Weiss, and M. Bajec, “Large networks grow smaller: How to choose the right simplification method?,” in Proc. of NetSci’14, 2014.
(more)
What coins the bitcoin? Exploratory analysis of bitcoin market value by network group discovery
L. Šubelj, G. Weiss, N. Blagus, and M. Bajec, “What coins the bitcoin? Exploratory analysis of bitcoin market value by network group discovery,” in Proc. of NetSci’14, 2014, vol. 105, no. 2008.
(more)
Network analysis of node group structures
Research tool nets-nodegroups
Research tool that implements the node group extraction framework and introduces the group type parameter Tau for researching and exploring node group structures of various networks.
(more)