Social, Cultural, and Behavioral Modeling

Name: Social, Cultural, and Behavioral Modeling | 10th International Conference, SBP-BRiMS 2017, Washington, DC, USA, July 5-8, 2017, Proceedings
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10th International Conference, SBP-BRiMS 2017, Washington, DC, USA, July 5-8, 2017, Proceedings

Dongwon Lee Yu-Ru Lin Nathaniel Osgood Robert Thomson(Herausgeber*in)

Springer (Verlag)

Erschienen am 26. Juni 2017

XVIII, 358 Seiten

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978-3-319-60240-0 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Behavioral and Social Sciences
Inferring Follower Preferences in the 2016 U.S. Presidential Primaries with Sparse Learning
1 Introduction
2 Related Work
3 Data
4 Methodology
4.1 Model Formulation
4.2 Coordinate Descent Algorithm
4.3 Model Selection
5 Empirical Results
6 Conclusions
References
Detection and Analysis of 2016 US Presidential Election Related Rumors on Twitter
1 Introduction
2 Related Work
3 Dataset
4 Rumor Detection
4.1 Rumor Detection Algorithms
4.2 Evaluation on Rumor Classification Task
4.3 Evaluation on Rumor Identification Task
5 Analyzing Rumor Tweets Pertaining to the Election
5.1 Which Side Posted the Most Rumors?
5.2 Who Posted These Rumors?
5.3 What Rumors Did They Post?
5.4 When Did They Post These Rumors?
6 Conclusions
References
How Emotional Support and Informational Support Relate to Linguistic Alignment
1 Introduction
2 Related Work
3 Automated Classification of Social Support Types
4 Linguistic Alignment Measures
5 Corpus
6 Alignment and Support Type at Post Level
6.1 Methods
6.2 Results
7 Discussion
8 Conclusion and Future Work
References
Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach
1 Introduction
2 Related Literature
3 Data and Methodology
3.1 Data
3.2 Modeling Gender Affinity
3.3 Statistical Testing
3.4 Gender Inference by Computer Vision
4 Case Study: The Woman Card
5 Limitations and Future Research
6 Conclusions
References
Agent-Based Modeling Approach in Understanding Behavior During Disasters: Measuring Response and Rescue in eBayanihan Disaster Management Platform
1 Introduction
2 Literature Review
2.1 Agent-Based Modeling in Understanding Behaviors During Disaster and Emergency Events
2.2 Organizational Chart of the Philippine Rescue and Response Cluster
2.3 eBayanihan as a Social Networking Platform for Disaster Management
3 Methodology
4 Results
5 Conclusion
References
An Agent-Based Model of Posting Behavior During Times of Societal Unrest
1 Introduction
2 Data Collection
2.1 Preliminary Analysis
3 Model Description
4 Results and Discussion
References
'They All Look the Same to Me.' An Agent Based Simulation of Out-Group Homogeneity
Abstract
1 Background
2 Model Description
2.1 Model Scope and Architecture
3 Experimental Runs
3.1 A World Without Out-Group Homogeneity
3.2 Introducing Out-Group Homogeneity
4 Discussion and Conclusion
References
Cultural Dimension Theory Based Simulations for US Army Personnel
1 Introduction
2 Literature Review
2.1 Cultural Dimensions
2.2 Virtual Reality C3 Simulations
3 Cultural Dimension Theory Applicability
3.1 Objective
3.2 Method
3.3 Results
3.4 Discussion
4 Cultural Simulation Design Process
4.1 Overview
4.2 Simulation Development
5 Conclusion
References
Socio-Cultural Cognitive Mapping
Abstract
1 Introduction
2 Algorithm
2.1 Selecting Data
2.2 Generating the Similarity and Constraint Matrices
2.3 Moving Nodes to Satisfice Constraints
2.4 Evaluating Fit and Returning Results
3 The Hatfield-McCoy Case Study
4 Discussion and Conclusion
References
Cyber and Intelligence Applications
A Cognitive Model of Feature Selection and Categorization for Autonomous Systems
Abstract
1 Introduction
2 Approach
2.1 A Cognitive Theory of Categorization
2.2 ACT-R Implementation
3 Testing and Revision
3.1 Testing Procedure
3.2 Results and Incremental Refinement
4 Conclusions and Future Directions
Acknowledgements
References
ENWalk: Learning Network Features for Spam Detection in Twitter
Abstract
1 Introduction
2 Related Work
3 Dataset
4 Spam Analysis
4.1 Spammer Type
4.2 Activity Window
4.3 Fraudulence
4.4 Mentioning Celebrities and Popular Hashtags
5 Learning Latent Features for Spam Detection
5.1 Overview
5.2 The Optimization Problem
5.3 Equivalent Neighborhood Generation
5.4 Algorithm: ENWalk
6 Experiment
6.1 Baseline Methods
6.2 Node Classification
6.3 Node Ranking
7 Conclusion
Acknowledgements
References
Understanding Russian Information Operations Using Unsupervised Multilingual Topic Modeling
Abstract
1 Introduction
2 STEMMER: A Framework for Unsupervised Analytics
3 Results
3.1 'Brilliant Jump' NATO Exercises Dataset
3.2 2016 Presidential Election Dataset - Results of Interest
4 Conclusion
References
Social Cyber Forensics Approach to Study Twitter's and Blogs' Influence on Propaganda Campaigns
Abstract
1 Introduction
2 Literature Review
3 Methodology
4 Conclusion, Summary, and Future Directions
Acknowledgements
References
From Cyber Space Opinion Leaders and the Diffusion of Anti-vaccine Extremism to Physical Space Disea ...
Abstract
1 Introduction
2 Background
3 Methodology
3.1 Agents and Environment
3.2 Process Overview and Model Scheduling
3.3 Initialization
4 Results
5 Discussion
References
Event-Based Model Simulating the Change in DDoS Attack Trends After P/DIME Events
1 Introduction
2 Relevant Work
3 Method
4 Virtual Experiment
5 Results and Discussion
5.1 Overview
5.2 Limitations
6 Conclusion
References
Using a Real-Time Cybersecurity Exercise Case Study to Understand Temporal Characteristics of Cyberattacks
1 Introduction
2 Methodology
3 Results
3.1 Observed Duration of Adversarial Intrusion Chain Stages
3.2 Time Series Generation and Clustering
3.3 Analysis of the Adaptation Process
4 Conclusion
References
Hybrid Modeling of Cyber Adversary Behavior
Abstract
1 Introduction
2 Hybrid Cyber Adversary Models
2.1 Decision Theoretic Models
2.2 Cognitive Decision-Making Models
2.3 Grammatical Representation of Cyber Attack Vectors
2.4 Reactive Agent Framework for Realistic Goal Prioritization
3 Discussion and Conclusions
Acknowledgements
References
Cyber-FIT: An Agent-Based Modelling Approach to Simulating Cyber Warfare
Abstract
1 Introduction
2 Background
3 The Cyber-FIT Simulation Framework
3.1 Model Definition
3.2 Terrain
3.3 Forces
3.4 Interactions
3.5 Model Outputs
4 Virtual Experiments
4.1 How Many Forces Should We Deploy to Minimize the Effect of a Routing Protocol Attack (RPA) in an ...
4.2 What Will Be the Expected Effect on Cyber Terrain if the Adversary Switches from a Fifteen Day R ...
4.3 What Number of Forces Maximizes Expected Cyber Terrain Mission Capability Rate Against Random At ...
5 Discussion
6 Conclusion
References
Information, Systems, and Network Sciences
Large-Scale Sleep Condition Analysis Using Selfies from Social Media
Abstract
1 Introduction
2 Model Construction
2.1 Training Data Collection and Rating
2.2 Feature Extraction for Facial Images
2.3 Model Training and Prediction
3 Selfie Collection, Processing and Prediction
4 Main Result
4.1 Age, Gender, and Race
5 Related Work
6 Limitations and Future Work
7 Conclusions
Acknowledgement
References
Modeling the Co-evolution of Culture, Signs and Network Structure
1 Introduction
2 Methodology
3 Results
4 Discussion
References
Simulating Population Behavior: Transportation Mode, Green Technology, and Climate Change
Abstract
1 Introduction
2 Theoretical Background
2.1 The Agent Based Model
3 ABM Model Experiments
3.1 Transportation Behavior Model
3.2 Results Analysis and Discussion
4 Conclusion
Acknowledgements
References
A Parametric Study of Opinion Progression in a Divided Society
1 Introduction
2 Simulation Setup
2.1 Probabilistic Finite State Automata
2.2 Bounded Confidence Dynamic
3 Simulation Scenarios and Results
3.1 Effect of Global Events
3.2 Effect of Influencers
3.3 Effect of Distance Parameter (d)
4 Conclusion and Future Work
References
Integrating Simulation and Signal Processing with Stochastic Social Kinetic Model
1 Introduction
2 Stochastic Social Kinetic Model
3 Particle Filter with Stochastic Kinetic Model
4 Tracking City-Scale Transportation Dynamics
4.1 Modeling Traffic Dynamics
4.2 Experimental Setup
4.3 Evaluation Results
5 Conclusions
References
Learning Network Dynamics from Tumblr®: A Search for Influential Users
1 Introduction
2 Transforming Network Attributes
2.1 Signal Processing on Graphs
2.2 The Dictionary Learning Approach
2.3 Dictionary Learning Adaptations for Improved Parallelism
3 Opinion Dynamics Simulations
3.1 The Decaying Cascade Model
3.2 The Threshold Model
4 Simulation Analysis
5 Real Data Results
6 Conclusion
References
Modeling the Impact of Protraction on Refugee Identity
Abstract
1 Introduction
2 Protraction and Refugee-Based Identity
3 Modeling Approach
4 Model Development
5 Simulation Results
6 Conclusions
Acknowledgements
References
Linking Twitter Sentiment and Event Data to Monitor Public Opinion of Geopolitical Developments and Trends
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Identifying Smoking from Smartphone Sensor Data and Multivariate Hidden Markov Models
1 Introduction
2 Data Processing and Algorithm
3 Results
3.1 Results with Single Feature
3.2 Results with Three Features
3.3 Results with Five Features
4 Related Work
5 Limitations and Future Work
6 Conclusions
References
Is Word Adoption a Grassroots Process? An Analysis of Reddit Communities
1 Introduction
2 Methods
2.1 Data: Reddit Corpus
2.2 Defining New Words
2.3 Inducing the Structure of Reddit Subforums
2.4 Results
3 Discussion
4 Conclusion
References
Understanding Discourse Acts: Political Campaign Messages Classification on Facebook and Twitter
Abstract
1 Introduction
2 Relevant Literature
3 Data and Content Analysis
4 Automated Text Classification
4.1 Model Building
4.2 Codebook and Model Testing
5 Conclusion and Future Work
Acknowledgements
References
Improving the Efficiency of Allocating Crowd Donations with Agent-Based Simulation Model
1 Introduction
1.1 Research Question
2 Agent-Based Model
2.1 Model Description
3 Simulation Result and Discussion
4 Conclusion
References
Temporal Analysis of Influence to Predict Users' Adoption in Online Social Networks
1 Introduction
2 Related Work
3 Framework for Consideration of Time Constraints
4 Experimental Setup
5 Influence Measures
6 Classification Experiments
7 Conclusion
References
Ideology Detection for Twitter Users via Link Analysis
1 Introduction
2 Approach
2.1 Ideology Estimation Model via Single Link Type
2.2 Ideology Estimation Model via Multiple Link Types
3 Experiments
3.1 Data Preparation
3.2 Performance Evaluation
3.3 Case Studies
4 Related Work
4.1 Ideology Detection in Roll Call Voting Data
4.2 Ideology Detection in Social Networks
5 Conclusion
References
Methodology
Spread of Pathogens in the Patient Transfer Network of US Hospitals
1 Materials and Methods
1.1 Study Data
1.2 Hospital-to-hospital Transfers
1.3 Constructing the Transfer Network
1.4 C. difficile Incidence on the Transfer Network
1.5 Sensor Placement on the Hospital Network
1.6 Determining the Optimal Sensor Set
1.7 Implementation of Network Sensors
2 Results
2.1 Properties of the Transfer Network
2.2 Spread of C. Diff. Infections
2.3 Monitoring the System for Hypothetical Outbreaks
3 Conclusions
References
On Predicting Geolocation of Tweets Using Convolutional Neural Networks
1 Introduction
2 Related Work
3 Location Prediction
3.1 Feature Set
3.2 Our Approach
4 Data
5 Experiments
5.1 Evaluation Measures
5.2 Baseline Method
5.3 Hyperparameters and Training
5.4 Results
6 Discussion and Conclusion
References
Stigmergy-Based Modeling to Discover Urban Activity Patterns from Positioning Data
1 Introduction
2 Approach Description
2.1 Hotspot Detection
2.2 Hotspot Activity Characterization
2.3 Unexpected Patterns Detection
3 Experimental Studies and Results
4 Conclusion
References
Prospective Detection of Foodborne Illness Outbreaks Using Machine Learning Approaches
1 Introduction
2 Overview of the Generative Model
3 HMM
4 Results
5 HMM-Aided Outbreak Triggering System
6 Conclusion
References
Mitigating the Risks of Financial Exclusion: Predicting Illiteracy with Standard Mobile Phone Logs
Abstract
1 Introduction
2 Approach
2.1 Data
2.2 Features
2.3 Model Algorithm
3 Results
3.1 Individual Illiteracy
3.2 Geographical Illiteracy Mapping
4 Conclusion
References
Multi-layer Network Composition Under a Unified Dynamical Process
1 Introduction
2 The Multi-layer Composition Framework
3 A Real World Example
References
Extracting Information from Negative Interactions in Multiplex Networks Using Mutual Information
1 Introduction
2 Proposed Method
2.1 Using Mutual Information for Link Prediction
2.2 Signed Multiplex Link Prediction
3 Experimental Study
3.1 Datasets
3.2 Evaluation Metrics
3.3 Analysis of Multilayer Neighborhood
3.4 Performance of Signed Multiplex Link Prediction (SMLP)
4 Conclusion and Future Work
References
A Blockchain-Enabled Participatory Decision Support Framework
Abstract
1 Introduction
2 Prototype Implementation
3 Results
4 Discussion
4.1 Future Work
5 Concluding Remarks
References
Hyperparameter Optimization for Predicting the Tolerance Level of Religious Discourse
1 Introduction
2 Related Work
3 Data
4 Hyperparameter Optimization
5 Results and Conclusions
References
APART: Automatic Political Actor Recommendation in Real-time
1 Introduction
2 Background
3 Framework
4 Recommending a New Actor and Role
5 Experiments
6 Conclusion and Future Work
References
Measuring Perceived Causal Relationships Between Narrative Events with a Crowdsourcing Application on Mturk
Abstract
1 Introduction
2 Background: Representing Text as Causal Networks
3 Methods
4 Results from the Usability Study
5 Discussion
6 Discussion and Future Work
Acknowledgment and Disclaimer
References
Author Index

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