Publication Date:
2010
abstract:
The increasing achievement of the Web has led people to exploit
collaborative technologies in order to encourage partnerships among different
groups. The cooperation can be achieved by Virtual Social Networks that facilitate people's social interaction and enable them to remain in touch with friends
exploiting the pervasive nature of information devices and services. The interest
in analysing Virtual Social Networks has grown massively in recent years, and it
involves researches from different fields. This led to the development of different
methods to study relationships between people, groups, organisations- and other
knowledge-processing entities on the Web. This chapter classifies these methods
in two categories. The first category concerns methods used for the network data
collection while the second category deals with methods used for the network data
visualisation. The chapter gives an example of application of these methods to
analyse the Virtual Social Network LinkedIn.
Iris type:
01.01 Articolo in rivista
Keywords:
Web 2.0; Internet; Applicazione delle scienze sociali; Rete sociali; Modelli matematici
List of contributors:
D'Andrea, Alessia; Grifoni, Patrizia; Ferri, Fernando
Published in: