Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/54899

TitleComplex networks
Author(s)Amaral, Inês
Editor(s)Schintler, Laurie A.
McNeely, Connie L.
KeywordsComputational Social Sciences
Data Visualization
Graph-Theoretic Computations
Network Analytics
Network Data
Social Network Analysis
Sociology
Visualization
Issue date2018
PublisherSpringer
Abstract(s)[Excerpt] In recent years, the emergence of a large amount of data dispersed in several types of databases enabled the extraction of information on a never seen scale. Complex networks allow the connection of a vast amount of scattered and unstructured data in order to understand relations, construct models for their interpretation, analyze structures, detect patterns, and predict behaviors.[...]
TypeBook part
URIhttp://hdl.handle.net/1822/54899
e-ISBN978-3-319-32001-4
DOI10.1007/978-3-319-32001-4_40-1
Publisher versionhttps://link.springer.com/referenceworkentry/10.1007%2F978-3-319-32001-4_40-1
AccessRestricted access (Author)
Appears in Collections:CECS - Livros e capítulo de livros / Books and book chapters

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