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CellRep: usage representativeness modeling and correction based on multiple city-scale cellular network

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TitleInfo
Title
CellRep: usage representativeness modeling and correction based on multiple city-scale cellular network
Name (type = personal)
NamePart (type = family)
Zuo
NamePart (type = given)
Chaoji
DisplayForm
Chaoji Zuo
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Zhang
NamePart (type = given)
Desheng
DisplayForm
Desheng Zhang
Affiliation
Advisory Committee
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RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Chen
NamePart (type = given)
Yingying
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Yingying Chen
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Advisory Committee
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RoleTerm (authority = RULIB)
co-chair
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NamePart (type = family)
Ortiz
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Jorge
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Jorge Ortiz
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Advisory Committee
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RoleTerm (authority = RULIB)
outside member
Name (type = personal)
NamePart (type = family)
Yuan
NamePart (type = given)
Bo
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Bo Yuan
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
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school
TypeOfResource
Text
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theses
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2020
DateOther (encoding = w3cdtf); (qualifier = exact); (type = degree)
2020-05
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2020
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Understanding representativeness in cellular web logs at city scale is essential for web applications. Most of the existing work on cellular web analyses or applications is built upon data from a single network in a city, which may not be representative of the overall usage patterns since multiple cellular networks coexist in most cities in the world. In this thesis, we conduct a comprehensive investigation of multiple cellular networks in a city with a 100% user penetration rate. We study web usage patterns (e.g., internet access services) correlation and difference between diverse cellular networks in terms of spatial and temporal dimensions to quantify the representativeness of web usage from a single network in usage patterns of all users in the same city. Moreover, relying on three external datasets, we study the correlation between the representativeness and contextual factors (e.g., Point-of-Interest, population, and mobility) to explain the potential causalities for the representativeness difference. We found that contextual diversity is a key reason for representativeness difference, and representativeness has a significant impact on the performance of real-world applications. Based on the analysis results, we further design a correction model to address the bias of single cellphone networks and improve representativeness by 45.8%.
Subject (authority = LCSH)
Topic
Mobile communication systems
Subject (authority = RUETD)
Topic
Electrical and Computer Engineering
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Title
Rutgers University Electronic Theses and Dissertations
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ETD_10893
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application/pdf
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text/xml
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1 online resource (ix, 40 pages) : illustrations
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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Identifier (type = doi)
doi:10.7282/t3-b6kc-ms53
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Zuo
GivenName
Chaoji
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-04-30 00:32:35
AssociatedEntity
Name
Chaoji Zuo
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2020-11-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after November 30th, 2020.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2020-05-06T20:02:52
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2020-05-06T20:02:52
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