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Social Graph Extraction, Integration, and Analysis
Ist Teil von
Analyzing and Securing Social Networks, 2016, p.315-326
Ort / Verlag
Auerbach Publications
Erscheinungsjahr
2016
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
As mentioned in Chapter 7, one of the major tasks in social network analysis is to represent the
network. Typically, social networks are represented using graphs. One needs to come up with a way
to electronically represent these graphs. Another task is to build the network. For example, in social
networks such as Facebook, one can build a graph where the nodes are the people in the network
and the links are the relationships between the people (e.g., friendships). In many situations, we
may need to build a network from vast amounts of data, both structured and unstructured. The data
could emanate from various databases as well as e-mails, blogs, and web pages. Therefore, we need
to use various analytics techniques to extract the nuggets from the various data sources and then
build the network. Once the network is developed, we can carry out analysis to extract information
such as communities of interest and those who are leaders of the network. Recently, semantic web
technologies are being applied to represent the graph structures presenting social networks (Mika,
2007). One of the prominent ontologies that have been developed based on Resource Description
Framework (RDF) is FOAF (friend of a friend), which has been used to build a very large social
network. We need techniques to extract graph structures from multimodal data, integrate the graph
structures, and mine or analyze the structures and extract patterns.