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Social Computing, Behavioral-Cultural Modeling and Prediction

Overview of attention for book
Social Computing, Behavioral-Cultural Modeling and Prediction
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 The Evolution of Paternal Care
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    Chapter 2 Parent Training Resource Allocation Optimization Using an Agent-Based Model of Child Maltreatment
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    Chapter 3 Influence and Power in Group Interactions
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    Chapter 4 The Marketcast Method for Aggregating Prediction Market Forecasts
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    Chapter 5 Peer Nominations and Its Relation to Interactions in a Computer Game
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    Chapter 6 Predicting Personality Using Novel Mobile Phone-Based Metrics
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    Chapter 7 Social Computing, Behavioral-Cultural Modeling and Prediction
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    Chapter 8 An Agent-Based Model for Simultaneous Phone and SMS Traffic over Time
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    Chapter 9 Reconstructing Online Behaviors by Effort Minimization
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    Chapter 10 “Copping” in Heroin Markets: The Hidden Information Costs of Indirect Sales and Why They Matter
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    Chapter 11 Cultural Polarization and the Role of Extremist Agents: A Simple Simulation Model
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    Chapter 12 Using Imageability and Topic Chaining to Locate Metaphors in Linguistic Corpora
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    Chapter 13 Automated Trading in Prediction Markets
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    Chapter 14 Social Network Analysis of Peer Effects on Binge Drinking among U.S. Adolescents
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    Chapter 15 Feedback Dynamic between Emotional Reinforcement and Healthy Eating: An Application of the Reciprocal Markov Model
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    Chapter 16 Testing the Foundations of Quantal Response Equilibrium
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    Chapter 17 Modeling the Social Response to a Disease Outbreak
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    Chapter 18 Discovering Consumer Health Expressions from Consumer-Contributed Content
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    Chapter 19 Patient-Centered Information Extraction for Effective Search on Healthcare Forum
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    Chapter 20 Controlling for Population Variances in Health and Exposure Risk Using Randomized Matrix Based Mathematical Modeling
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    Chapter 21 How Do E-Patients Connect Online? A Study of Social Support Roles in Health Social Networking
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    Chapter 22 Dynamic stochastic blockmodels: Statistical models for time-evolving networks
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    Chapter 23 LA-LDA: A Limited Attention Topic Model for Social Recommendation
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    Chapter 24 Graph Formation Effects on Social Welfare and Inequality in a Networked Resource Game
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    Chapter 25 Recommendation in Reciprocal and Bipartite Social Networks–A Case Study of Online Dating
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    Chapter 26 In You We Follow: Determining the Group Leader in Dialogue
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    Chapter 27 Pareto Distance for Multi-layer Network Analysis
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    Chapter 28 Formation of Multiple Networks
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    Chapter 29 A Flexible Framework for Probabilistic Models of Social Trust
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    Chapter 30 Social Computing, Behavioral-Cultural Modeling and Prediction
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    Chapter 31 Massive Media Event Data Analysis to Assess World-Wide Political Conflict and Instability
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    Chapter 32 Sparsification and Sampling of Networks for Collective Classification
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    Chapter 33 A Comparative Study of Social Media and Traditional Polling in the Egyptian Uprising of 2011
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    Chapter 34 Hashtag Lifespan and Social Networks during the London Riots
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    Chapter 35 A Text Cube Approach to Human, Social and Cultural Behavior in the Twitter Stream
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    Chapter 36 Mapping Cyber-Collective Action among Female Muslim Bloggers for the Women to Drive Movement
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    Chapter 37 Discovering Patterns in Social Networks with Graph Matching Algorithms
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    Chapter 38 Critiquing Text Analysis in Social Modeling: Best Practices, Limitations, and New Frontiers
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    Chapter 39 Which Targets to Contact First to Maximize Influence over Social Network
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    Chapter 40 Intruder or Welcome Friend: Inferring Group Membership in Online Social Networks
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    Chapter 41 Identifying Influential Twitter Users in the 2011 Egyptian Revolution
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    Chapter 42 Analytical Methods to Investigate the Effects of External Influence on Socio-Cultural Opinion Evolution
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    Chapter 43 Who Shall We Follow in Twitter for Cyber Vulnerability?
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    Chapter 44 Respondent-Driven Sampling in Online Social Networks
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    Chapter 45 Trade-Offs in Social and Behavioral Modeling in Mobile Networks
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    Chapter 46 Privacy Protection in Personalized Web Search: A Peer Group-Based Approach
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    Chapter 47 Detecting Anomalous Behaviors Using Structural Properties of Social Networks
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    Chapter 48 Measuring User Credibility in Social Media
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    Chapter 49 Financial Crisis, Omori’s Law, and Negative Entropy Flow
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    Chapter 50 Trust Metrics and Results for Social Media Analysis
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    Chapter 51 Predicting Mobile Call Behavior via Subspace Methods
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    Chapter 52 Modeling the Interaction between Emergency Communications and Behavior in the Aftermath of a Disaster
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    Chapter 53 Modeling the Dynamics of Dengue Fever
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    Chapter 54 Improving Markov Chain Monte Carlo Estimation with Agent-Based Models
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    Chapter 55 Geographic Profiling of Criminal Groups for Military Cordon and Search
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    Chapter 56 Exploiting User Model Diversity in Forecast Aggregation
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    Chapter 57 Risk-Based Models of Attacker Behavior in Cybersecurity
Attention for Chapter 51: Predicting Mobile Call Behavior via Subspace Methods
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Chapter title
Predicting Mobile Call Behavior via Subspace Methods
Chapter number 51
Book title
Social Computing, Behavioral-Cultural Modeling and Prediction
Published in
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37210-0_51
Book ISBNs
978-3-64-237209-4, 978-3-64-237210-0
Authors

Peng Dai, Wanqing Yang, Shen-Shyang Ho

Editors

Ariel M. Greenberg, William G. Kennedy, Nathan D. Bos

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Researcher 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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