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The Resource Algorithms and Dynamical Models for Communities and Reputation in Social Networks, by Vincent Traag, (electronic resource)

Algorithms and Dynamical Models for Communities and Reputation in Social Networks, by Vincent Traag, (electronic resource)

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Algorithms and Dynamical Models for Communities and Reputation in Social Networks
Title
Algorithms and Dynamical Models for Communities and Reputation in Social Networks
Statement of responsibility
by Vincent Traag
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Subject
Language
eng
Summary
A persistent problem when finding communities in large complex networks is the so-called resolution limit. This thesis addresses this issue meticulously, and introduces the important notion of resolution-limit-free. Remarkably, only few methods possess this desirable property, and this thesis puts forward one such method. Moreover, it discusses how to asses whether communities can occur by chance or not. One aspect that is often ignored in this field is treated here: links can also be negative, as in war or conflict. Besides how to incorporate this in community detection, it also examines the dynamics of such negative links, inspired by a sociological theory known as social balance. This has intriguing connections to the evolution of cooperation, suggesting that for cooperation to emerge, groups often split in two opposing factions. In addition to these theoretical contributions, the thesis also contains an empirical analysis of the effect of trading communities on international conflict, and how communities form in a citation network with positive and negative links
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Literary form
non fiction
Series statement
Springer Theses, Recognizing Outstanding Ph.D. Research,
Algorithms and Dynamical Models for Communities and Reputation in Social Networks, by Vincent Traag, (electronic resource)
Label
Algorithms and Dynamical Models for Communities and Reputation in Social Networks, by Vincent Traag, (electronic resource)
Link
http://libproxy.rpi.edu/login?url=http://dx.doi.org/10.1007/978-3-319-06391-1
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Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Part I Communities in Networks -- Community Detection -- Scale Invariant Community Detection -- Finding Significant Resolutions -- Modularity with Negative Links -- Applications -- Part II Social Balance & Reputation -- Social Balance -- Models of Social Balance -- Evolution of Cooperation -- Ranking Nodes Using Reputation
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https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783319063911&userID=ebsco-test&password=ebsco-test
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unknown
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{'f': 'http://opac.lib.rpi.edu/record=b3556770'}
Extent
XIV, 229 p. 40 illus., 19 illus. in color.
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multiple file formats
Form of item
electronic
Isbn
9783319063911
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
online resource.
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absent
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access
Specific material designation
remote

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