Social networks provide a powerful abstraction of the structure
and dynamics of diverse kinds of people or people-to-technology
interaction. Web 2.0 has enabled a new generation of web-based
communities, social networks, and folksonomies to facilitate
collaboration among different communities.
This unique text/reference compares and contrasts the
ethological approach to social behavior in animals with web-based
evidence of social interaction, perceptual learning, information
granulation, the behavior of humans and affinities between
web-based social networks. An international team of leading experts
present the latest advances of various topics in
intelligent-social-networks and illustrates how organizations can
gain competitive advantages by applying the different emergent
techniques in real-world scenarios. The work incorporates
experience reports, survey articles, and intelligence techniques
and theories with specific network technology problems.
Topics and Features: Provides an overview social network tools,
and explores methods for discovering key players in social
networks, designing self-organizing search systems, and clustering
blog sites, surveys techniques for exploratory analysis and text
mining of social networks, approaches to tracking online community
interaction, and examines how the topological features of a system
affects the flow of information, reviews the models of network
evolution, covering scientific co-citation networks,
nature-inspired frameworks, latent social networks in e-Learning
systems, and compound communities, examines the relationship
between the intent of web pages, their architecture and the
communities who take part in their usage and creation, discusses
team selection based on members' social context, presents social
network applications, including music recommendation and face
recognition in photographs, explores the use of social networks in
web services that focus on the discovery stage in the life cycle of
these web services.
This useful and comprehensive volume will be indispensible to
senior undergraduate and postgraduate students taking courses in
Social Intelligence, as well as to researchers, developers, and
postgraduates interested in intelligent-social-networks research
and related areas.
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