what-when-how
In Depth Tutorials and Information
Table 11.1
ThreeAspectsofPower
Node power
parameters
Definitions
Effects
Degree
Number of connections
around a node
Having more opportunities
and alternatives
Closeness
Length of paths to other
nodes
Direct communication with
other nodes
Betweenness
Lying between pairs of
nodes
Breaking contacts among
nodes to isolate them or
prevent connections
Source : Jamali, M. and Abolhassani, Web  Intelligence (2006). IEEE/WIC/ACM
International Conference on WI 2006. December 18-22, 2006, pp. 66-72.
Table 11.2
Fo urTypesofCliques
Types
Definition
N-cliques
Nodes are tied to each of the group members at a
distance within N links
N-Clans
All the ties among the nodes in N-cliques occur
through other members of the group
K-plexes
A node is a member of a clique of size n if it has
direct ties to n-k members of that clique
K-cores
Nodes are connected to k members of the group
Source: Zhai Dongsheng and Pan Hong. A social network-based trust
model for E-commerce. Wireless Communications, Networking
and Mobile Computing , 2008. 4th International Conference on
WiCOM '08 . October 12-14, 2008, pp. 1-5.
the establishment of the notion of sixdegreeofseparation , also known as the small
world property of social networks, contributed to its signiicant evolvement. he
scale-free link distribution was also taken into account in the modeling process.
Generally there are two techniques: mathematical and graphical techniques,
which are used to describe the network compactly and systematically in social net-
work modeling. Network analysis uses graphic display that consists of nodes to
represent actors and edges to represent ties or relation. Besides, adjacent matrix is
used in social network analysis: if a relationship exits a one is written in a cell; if
there is no relationship a zero is entered.
Search WWH ::




Custom Search