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Social, Cultural, and Behavioral Modeling

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Cover of 'Social, Cultural, and Behavioral Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-scale Resolution of Cognitive Architectures: A Paradigm for Simulating Minds and Society
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    Chapter 2 Detecting Betrayers in Online Environments Using Active Indicators
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    Chapter 3 Forecasting Gang Homicides with Multi-level Multi-task Learning
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    Chapter 4 Feature Selection of Post-graduation Income of College Students in the United States
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    Chapter 5 From Language to Location Using Multiple Instance Neural Networks
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    Chapter 6 Detecting Agreement and Disagreement in Political Debates
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    Chapter 7 Tipping Points for Norm Change in Human Cultures
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    Chapter 8 Model Co-creation from a Modeler’s Perspective: Lessons Learned from the Collaboration Between Ethnographers and Modelers
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    Chapter 9 Multi-Agent Accumulator-Based Decision-Making Model of Incivility (MADI)
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    Chapter 10 Legislative Voting Dynamics in Ukraine
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    Chapter 11 Stop Words Are Not “Nothing”: German Modal Particles and Public Engagement in Social Media
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    Chapter 12 Beaten Up on Twitter? Exploring Fake News and Satirical Responses During the Black Panther Movie Event
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    Chapter 13 #metoo Through the Lens of Social Media
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    Chapter 14 An Agent-Based Model for False Belief Tasks: Belief Representation Systematic Approach (BRSA)
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    Chapter 15 Similar but Different: Exploiting Users’ Congruity for Recommendation Systems
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    Chapter 16 Mining Help Intent on Twitter During Disasters via Transfer Learning with Sparse Coding
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    Chapter 17 People2Vec: Learning Latent Representations of Users Using Their Social-Media Activities
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    Chapter 18 Finding Organizational Accounts Based on Structural and Behavioral Factors on Twitter
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    Chapter 19 A Study of How Opinion Sharing Affects Emergency Evacuation
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    Chapter 20 Fine-Scale Prediction of People’s Home Location Using Social Media Footprints
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    Chapter 21 Formal Organizations, Informal Networks, and Work Flow: An Agent-Based Model
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    Chapter 22 Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks
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    Chapter 23 Analyzing Social Bots and Their Coordination During Natural Disasters
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    Chapter 24 Sentiment Dynamics of The Chronicles of Narnia and Their Ranking
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    Chapter 25 Sign Prediction in Signed Social Networks Using Inverse Squared Metric
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    Chapter 26 Detecting and Characterizing Bot-Like Behavior on Twitter
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    Chapter 27 Initializing Agent-Based Models with Clustering Archetypes
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    Chapter 28 Predicting Alcoholism Recovery from Twitter
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    Chapter 29 The Portrayal of Quit Emotions: Content-Sensitive Analysis of Peer Interactions in an Online Community for Smoking Cessation
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    Chapter 30 Digilego: A Standardized Analytics-Driven Consumer-Oriented Connected Health Framework
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    Chapter 31 Pain Town, an Agent-Based Model of Opioid Use Trajectories in a Small Community
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    Chapter 32 Assessing Target Audiences of Digital Public Health Campaigns: A Computational Approach
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    Chapter 33 Evaluating Semantic Similarity for Adverse Drug Event Narratives
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    Chapter 34 Framing Shifts of the Ukraine Conflict in pro-Russian News Media
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    Chapter 35 Turning Narrative Descriptions of Individual Behavior into Network Visualization and Analysis: Example of Terrorist Group Dynamics
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    Chapter 36 Terrorist Network Monitoring with Identifying Code
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    Chapter 37 Implicit Terrorist Networks: A Two-Mode Social Network Analysis of Terrorism in India
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    Chapter 38 Complex Networks for Terrorist Target Prediction
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    Chapter 39 Searching for Unknown Unknowns: Unsupervised Bot Detection to Defeat an Adaptive Adversary
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    Chapter 40 Using Random String Classification to Filter and Annotate Automated Accounts
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    Chapter 41 Understanding Cyber Attack Behaviors with Sentiment Information on Social Media
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    Chapter 42 Social Cyber-Security
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    Chapter 43 A Computational Model of Cyber Situational Awareness
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    Chapter 44 Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology
Attention for Chapter 2: Detecting Betrayers in Online Environments Using Active Indicators
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Citations

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Chapter title
Detecting Betrayers in Online Environments Using Active Indicators
Chapter number 2
Book title
Social, Cultural, and Behavioral Modeling
Published by
Springer, Cham, July 2018
DOI 10.1007/978-3-319-93372-6_2
Book ISBNs
978-3-31-993371-9, 978-3-31-993372-6
Authors

Paola Rizzo, Chaima Jemmali, Alice Leung, Karen Haigh, Magy Seif El-Nasr, Rizzo, Paola, Jemmali, Chaima, Leung, Alice, Haigh, Karen, El-Nasr, Magy Seif

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Student > Doctoral Student 2 33%
Unknown 2 33%
Readers by discipline Count As %
Engineering 2 33%
Computer Science 1 17%
Unspecified 1 17%
Unknown 2 33%