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Emergence of hierarchy in directed online social networks

Descriptive

Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Genre (authority = RULIB-FS)
Other
Genre (authority = marcgt)
technical report
PhysicalDescription
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application/pdf
Extent
10 p.
Note (type = special display note)
Technical report DCS-TR-679
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Arts and Sciences (SAS) (New Brunswick)
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Computer Science (New Brunswick)
TypeOfResource
Text
TitleInfo
Title
Emergence of hierarchy in directed online social networks
Abstract (type = abstract)
Social hierarchy and stratification among humans is a well studied concept in sociology. The popularity of online social networks presents an opportunity to study social hierarchy for different types of people, and at different scales. We conjecture that people form connections in social network based on their perceived social hierarchy; as a result, the edge directions in directed social networks can be leveraged to infer hierarchy. In this paper, we define a measure of hierarchy in a directed social network, and present an efficient algorithm to compute this measure. We validate our measure using ground truths including Wikipedia notability score. We use this measure to study hierarchy in several directed online social networks including Twitter, Delicious, Flickr, and curated lists of several types of people based on different occupations, and different organizations. Our experiments how hierarchy emerges as the networks grows on different online social networks. We show that the degree of stratification in a network is bounded and does not increase after the graph has become large.
Name (type = personal)
NamePart (type = family)
Gupte
NamePart (type = given)
Mangesh
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Shankar
NamePart (type = given)
Pravin
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Li
NamePart (type = given)
Jing
Affiliation
Massachusetts Institute of Technology
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Muthukrishnan
NamePart (type = given)
S.
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Iftode
NamePart (type = given)
Liviu
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2010-11
RelatedItem (type = host)
TitleInfo
Title
Computer Science (New Brunswick)
Identifier (type = local)
rucore21032500001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3W380SJ
Genre (authority = ExL-Esploro)
Technical Documentation
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This Item is protected by copyright and/or related rights.You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use.For other uses you need to obtain permission from the rights-holder(s).
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
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Version
1.4
ApplicationName
pdfTeX-1.40.10
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2010-10-29T20:45:05
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2010-10-29T20:45:05
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