Coverart for item
The Resource Mining lurkers in online social networks : principles, models, and computational methods, Andrea Tagarelli, Roberto Interdonato

Mining lurkers in online social networks : principles, models, and computational methods, Andrea Tagarelli, Roberto Interdonato

Label
Mining lurkers in online social networks : principles, models, and computational methods
Title
Mining lurkers in online social networks
Title remainder
principles, models, and computational methods
Statement of responsibility
Andrea Tagarelli, Roberto Interdonato
Creator
Contributor
Author
Subject
Language
eng
Member of
Cataloging source
N$T
http://library.link/vocab/creatorDate
1976-
http://library.link/vocab/creatorName
Tagarelli, Andrea
Dewey number
006.312
Index
no index present
LC call number
QA76.9.D343
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Interdonato, Roberto
Series statement
SpringerBriefs in computer science,
http://library.link/vocab/subjectName
  • Data mining
  • Online social networks
Label
Mining lurkers in online social networks : principles, models, and computational methods, Andrea Tagarelli, Roberto Interdonato
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Contents; 1 Introduction; 1.1 Organization of This Brief; 1.2 Audience and Scope; 1.3 Thanks; References; 2 Background; 2.1 Perception of Lurking; 2.2 How to Identify Lurkers?; 2.3 Why Do Lurkers Act?; 2.4 How to Promote Delurking?; 2.5 Lurking as a Computational Problem; References; 3 Characterization and Ranking of Lurkers; 3.1 Topology-Driven Lurking Definition; 3.2 The LurkerRank Family of Ranking Algorithms; 3.3 Time-Aware LurkerRank Algorithms; 3.3.1 Freshness and Activity Trend; 3.3.2 Time-Static LurkerRank; 3.3.3 Time-Evolving LurkerRank; 3.4 Learning to Rank Lurkers
  • 5.2.1 TrustRank-Biased LurkerRank5.2.2 Lurking and Trustworthiness in Ranking Problems; 5.2.3 Lurking and Data Privacy Preservation; References; 6 Delurking; 6.1 User Engagement in Online Social Networks; 6.2 Self-Delurking Randomization; 6.3 Delurking and Influence Propagation; 6.3.1 Information Diffusion and Influence Maximization; 6.3.2 Delurking-Oriented Targeted Influence Maximization; 6.3.3 Community-Based Delurking; 6.3.4 Diversity-Aware Delurking; 6.3.4.1 Diversity in Information Spreading; 6.3.4.2 Diversity-Integrated Targeted Influence Maximization; References
  • 7 Boundary Spanning Lurking7.1 Lurkers Across Communities; 7.1.1 Across-Community Boundary Spanning vs. Within-Community Centrality; 7.1.2 Lurkers vs. Community-Based Bridge Users; 7.2 Cross-OSN Analysis of Alternate Behaviors of Lurking and Active Participation; 7.2.1 Multilayer Network Model; 7.2.2 Multilayer LurkerRank; 7.2.3 Multilayer Alternate Lurker-Contributor Ranking; References; 8 Bringing Lurking in Game Theory; 8.1 The Lurker Game; 8.1.1 Basic Dynamics; 8.1.2 Mean Field Analysis; 8.1.3 Rewarding Mechanisms; 8.2 Lurker Game on Networks; References
  • 9 Concluding Remarks and Challenges9.1 Modeling Lurking Behaviors Through Latent Interactions; 9.2 Emotion-Driven Analysis of Lurkers; 9.3 Psycho-Sociological Influences on Lurkers; 9.4 Dis/Misinformation, Fake News, and Lurkers; References
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783030002282
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
http://library.link/vocab/ext/overdrive/overdriveId
com.springer.onix.9783030002299
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1062418919
  • (OCoLC)1062418919
Label
Mining lurkers in online social networks : principles, models, and computational methods, Andrea Tagarelli, Roberto Interdonato
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Contents; 1 Introduction; 1.1 Organization of This Brief; 1.2 Audience and Scope; 1.3 Thanks; References; 2 Background; 2.1 Perception of Lurking; 2.2 How to Identify Lurkers?; 2.3 Why Do Lurkers Act?; 2.4 How to Promote Delurking?; 2.5 Lurking as a Computational Problem; References; 3 Characterization and Ranking of Lurkers; 3.1 Topology-Driven Lurking Definition; 3.2 The LurkerRank Family of Ranking Algorithms; 3.3 Time-Aware LurkerRank Algorithms; 3.3.1 Freshness and Activity Trend; 3.3.2 Time-Static LurkerRank; 3.3.3 Time-Evolving LurkerRank; 3.4 Learning to Rank Lurkers
  • 5.2.1 TrustRank-Biased LurkerRank5.2.2 Lurking and Trustworthiness in Ranking Problems; 5.2.3 Lurking and Data Privacy Preservation; References; 6 Delurking; 6.1 User Engagement in Online Social Networks; 6.2 Self-Delurking Randomization; 6.3 Delurking and Influence Propagation; 6.3.1 Information Diffusion and Influence Maximization; 6.3.2 Delurking-Oriented Targeted Influence Maximization; 6.3.3 Community-Based Delurking; 6.3.4 Diversity-Aware Delurking; 6.3.4.1 Diversity in Information Spreading; 6.3.4.2 Diversity-Integrated Targeted Influence Maximization; References
  • 7 Boundary Spanning Lurking7.1 Lurkers Across Communities; 7.1.1 Across-Community Boundary Spanning vs. Within-Community Centrality; 7.1.2 Lurkers vs. Community-Based Bridge Users; 7.2 Cross-OSN Analysis of Alternate Behaviors of Lurking and Active Participation; 7.2.1 Multilayer Network Model; 7.2.2 Multilayer LurkerRank; 7.2.3 Multilayer Alternate Lurker-Contributor Ranking; References; 8 Bringing Lurking in Game Theory; 8.1 The Lurker Game; 8.1.1 Basic Dynamics; 8.1.2 Mean Field Analysis; 8.1.3 Rewarding Mechanisms; 8.2 Lurker Game on Networks; References
  • 9 Concluding Remarks and Challenges9.1 Modeling Lurking Behaviors Through Latent Interactions; 9.2 Emotion-Driven Analysis of Lurkers; 9.3 Psycho-Sociological Influences on Lurkers; 9.4 Dis/Misinformation, Fake News, and Lurkers; References
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783030002282
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
http://library.link/vocab/ext/overdrive/overdriveId
com.springer.onix.9783030002299
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1062418919
  • (OCoLC)1062418919

Library Locations

Processing Feedback ...