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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 44: Respondent-Driven Sampling in Online Social Networks
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Citations

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Chapter title
Respondent-Driven Sampling in Online Social Networks
Chapter number 44
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_44
Book ISBNs
978-3-64-237209-4, 978-3-64-237210-0
Authors

Christopher M. Homan, Vincent Silenzio, Randall Sell

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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Researcher 6 29%
Student > Master 3 14%
Student > Doctoral Student 2 10%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 2 10%
Readers by discipline Count As %
Social Sciences 5 24%
Mathematics 3 14%
Medicine and Dentistry 3 14%
Psychology 3 14%
Computer Science 2 10%
Other 3 14%
Unknown 2 10%

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