TY - GEN
T1 - The three dimensions of social prominence
AU - Pennacchioli, Diego
AU - Rossetti, Giulio
AU - Pappalardo, Luca
AU - Pedreschi, Dino
AU - Giannotti, Fosca
AU - Coscia, Michele
PY - 2013
Y1 - 2013
N2 - One classic problem definition in social network analysis is the study of diffusion in networks, which enables us to tackle problems like favoring the adoption of positive technologies. Most of the attention has been turned to how to maximize the number of influenced nodes, but this approach misses the fact that different scenarios imply different diffusion dynamics, only slightly related to maximizing the number of nodes involved. In this paper we measure three different dimensions of social prominence: the Width, i.e. the ratio of neighbors influenced by a node; the Depth, i.e. the degrees of separation from a node to the nodes perceiving its prominence; and the Strength, i.e. the intensity of the prominence of a node. By defining a procedure to extract prominent users in complex networks, we detect associations between the three dimensions of social prominence and classical network statistics. We validate our results on a social network extracted from the Last.Fm music platform.
AB - One classic problem definition in social network analysis is the study of diffusion in networks, which enables us to tackle problems like favoring the adoption of positive technologies. Most of the attention has been turned to how to maximize the number of influenced nodes, but this approach misses the fact that different scenarios imply different diffusion dynamics, only slightly related to maximizing the number of nodes involved. In this paper we measure three different dimensions of social prominence: the Width, i.e. the ratio of neighbors influenced by a node; the Depth, i.e. the degrees of separation from a node to the nodes perceiving its prominence; and the Strength, i.e. the intensity of the prominence of a node. By defining a procedure to extract prominent users in complex networks, we detect associations between the three dimensions of social prominence and classical network statistics. We validate our results on a social network extracted from the Last.Fm music platform.
UR - http://www.scopus.com/inward/record.url?scp=84892162974&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-03260-3_28
DO - 10.1007/978-3-319-03260-3_28
M3 - Conference contribution
AN - SCOPUS:84892162974
SN - 9783319032597
VL - 8238 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 319
EP - 332
BT - Social Informatics - 5th International Conference, SocInfo 2013, Proceedings
T2 - 5th International Conference on Social Informatics, SocInfo 2013
Y2 - 25 November 2013 through 27 November 2013
ER -