Social, Cultural, and Behavioral Modeling: 15th International Conference, SBP-BRiMS 2022, Pittsburgh, PA, USA, September 20–23, 2022, Proceedings (Lecture Notes in Computer Science)

This book constitutes the proceedings of the 15th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2022, which was in Pittsburgh, PA, USA in September 2022. The 25 full papers presented in this volume were carefully reviewed and selected from 50 submissions. The papers were organized in topical sections as follows: computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used include, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics. Preface Organization Contents Social Cybersecurity Chasing the Wrong Cloud: Mapping the 2019 Vaping Epidemic Using Data from Social Media 1 Introduction 2 Methods 3 Results 4 Related Work 5 Conclusions References Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents 1 Introduction and Background 2 Methodology 2.1 Supply Chain Model 2.2 Disruptions 2.3 The Criminal Agent 2.4 Simulation and Optimization 3 Results 4 Summary and Outlook References Evolution of Intent and Social Influence Networks and Their Significance in Detecting COVID-19 Disinformation Actors on Social Media*-8pt 1 Introduction 2 Background 3 Methodology 3.1 Data 3.2 An Information Theoretic Approach to Intent Measurement 3.3 Disinformation Classification 4 Results 5 Discussions and Conclusions References Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph 1 Introduction 2 Related Work 3 Dataset 4 Methodology 4.1 Hypergraph Construction for Meta Ads 4.2 Hypergraph Attention Network 5 Experiment 5.1 RQ1: Evaluation on Text Classification Task 5.2 RQ2: Discourse Identification in Categories 6 Conclusion and Future Work References A Systematic Approach for Contextualizing Focal Structure Analysis in Social Networks 1 Introduction 2 Research Problem Statement 3 Methodology 3.1 Modified Adjacency Matrix for CFSA 3.2 Stepwise Description of the CFSA Algorithm 4 Results 5 Conclusion and Future Work References Frames and Their Affective Dimensions: A Case Study of Climate Change News Articles 1 Introduction 2 Data and Method 3 Results 3.1 Frame Prediction 3.2 Frames in EPA 3.3 Reshare Count of Frames 4 Discussion References How Is Vaping Framed on Online Knowledge Dissemination Platforms? 1 Introduction 2 Data and Method 3 Results 4 Discussion References The Missing Link Between User Engagement and Misinformation's Impact on Online Behavior 1 Introduction 2 Related Work 3 Methods 3.1 Data Collection 3.2 Dependent Variables 3.3 Regression Analysis 3.4 Limitations 4 Results 4.1 Tweet Style 4.2 User Topic Choices 5 Discussion 6 Conclusions References #WhoDefinesDemocracy: Analysis on a 2021 Chinese Messaging Campaign 1 Introduction 2 Data and Methodology 2.1 Data Collection and Processing 2.2 Methods 3 Results 3.1 Campaign Overview 3.2 State-Sponsored Activity and Bot Amplification 3.3 Who Are the ``Others'' in This Network? 4 Conclusion References Dapping into the Fediverse: Analyzing What’s Trending on Mastodon Social 1 Introduction 2 Literature Review 3 Methodology 3.1 Data Collection 3.2 Data Analysis 4 Results 4.1 Correlation Analysis and RQ1 4.2 Posting Accounts Analysis and RQ2 4.3 Content Analysis and RQ3 4.4 Network Analysis and RQ4 5 Conclusion and Future Work References Competing State and Grassroots Opposition Influence in the 2021 Hong Kong Election 1 Introduction 2 Related Work 3 Data and Methods 3.1 Data Collection 3.2 Data Annotation 3.3 Analysis 4 Results 4.1 Both Camps Target In-Group Members and Verified Accounts 4.2 Parallel Information Maneuvers by Competing Campaigns 4.3 State Accounts Are Specialized Hubs, Pro-democracy Accounts Are Popular Bridges 5 Discussion References Modeling and Simulation Revisiting Linus' Law in OpenStreetMap: An Agent-Based Approach 1 Introduction 2 Related Works 3 Model Design 3.1 Environment 3.2 Agents 3.3 Model Implementation and Output 4 Experiments and Results 4.1 Experiment One: Influence of Prioritization 4.2 Experiment Two: Influence of Proficiency 5 Discussion 6 Conclusion References OSIRIS: Organization Simulation in Response to Intrusion Strategies 1 Introduction 2 Related Works 3 OSIRIS Simulation Framework 3.1 End User Agent 3.2 Cybercriminal Agent 3.3 Security Agent 4 Virtual Experiment 5 Discussion and Future Works 6 Conclusion References Detection of Coordination Between State-Linked Actors 1 Introduction 2 The Influence Model 2.1 The influence Library 3 Data 4 Methodology 4.1 Constructing Observations 4.2 Learning the State-Transition Matrices 5 Results 5.1 Account Clusters 5.2 Coordinated URL Sharing 5.3 Top Influencer 5.4 Spike in State-Linked Tweets 6 Discussion and Future Work References Counteracting Filter Bubbles with Homophily-Aware Link Recommendations 1 Introduction 2 Related Work 3 Data Description 4 Methodology 4.1 Polarization Index 4.2 Homophily-Aware Common Neighbors 5 Experiments 5.1 Evaluation Metrics 6 Results 7 Conclusion References Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data 1 Introduction 2 Related Work 3 Data 4 Method 4.1 MIS Clustering Method 4.2 Cluster Summarization 5 Comparison with Other Methods 6 Case Study 7 Conclusions References Imitation Learning for Social Simulation 1 Introduction 2 Case Study: Schelling's Model of Segregation 3 Methods 3.1 The Grid World 3.2 The Heuristic Model 3.3 The Imitation Model 4 Results 4.1 Impact of Agent Density 5 Discussion and Conclusion References Modeling Memory Imprints Induced by Interactions in Social Networks 1 Introduction 2 Datasets 2.1 Communication Records 2.2 Ego Network Surveys 2.3 Quantifying Relationship Significance 3 Models 3.1 Hawkes Model 3.2 Memory Imprint Model 3.3 Baseline Models 4 Results 4.1 Evaluation Process 4.2 Model Performance 5 Cross-Dataset Modeling 6 Conclusions References Theory and Methods Unleashing Computational Organization Theory with Quantum Probability Theory 1 Introduction 1.1 Classical Probability Theory 1.2 Quantum Probability Theory 2 The Garbage Can Model 2.1 Example Scenario 2.2 Path Dependency Impacts 2.3 System Measurement Impacts 3 Discussion 4 Conclusion References Cultural Value Resonance in Folktales: A Transformer-Based Analysis with the World Value Corpus 1 Introduction 2 Approach 2.1 Background: World Value Survey 2.2 Problem Statement: Recognizing Value Resonance 2.3 Dataset: The World Value Corpus 2.4 Preliminary Model for Recognizing Value Resonance 3 Results: Evaluation on WVC 4 Preliminary Results: Resonance in Folktales 5 Conclusions References Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling 1 Introduction 2 Study Purpose 3 Methods 3.1 Data Source 3.2 Data Preprocessing 3.3 Analytical Methods 4 Results 4.1 Emotion Detection with NRC Lexicon 4.2 Sentiment Analysis with Bing Lexicon 4.3 Topic Modeling with Non-negative Matrix Factorization (NMF) 5 Conclusion and Discussion References Optimizing Pharmaceutical and Non-pharmaceutical Interventions During Epidemics 1 Introduction 2 Background 2.1 SEIRD Epidemiological Model 2.2 Reinforcement Learning 2.3 Related Work 3 Methodology 3.1 SEIHRDv Epidemiological Model 3.2 Model Parameter Estimation 3.3 Reinforcement Learning for Optimization of Regulations 4 Experiments 4.1 Dataset Description 4.2 Results 5 Conclusion References Automated Utterance Labeling of Conversations Using Natural Language Processing 1 Introduction 2 Data 2.1 Source 2.2 Preprocessing 2.3 Challenges 3 Methods 3.1 Conventional Machine Learning Methods 3.2 Deep Learning Methods 3.3 Hyperparameter 3.4 Evaluation Metrics and Baseline 4 Results 4.1 EMO-COG Classification 4.2 Multilabel Classification 4.3 Error Analysis 5 Conclusion and Discussion References An Exploratory Study on the Author Keyphrases Selection Behaviours in Scientific Articles 1 Introduction 1.1 Contributions 2 Related Work 3 Dataset 4 Readability Test 5 Unsupervised Keyphrase Extraction Method 5.1 RAKE 5.2 YAKE 5.3 TextRank 5.4 KeyBert 6 Results and Discussion 7 Summary and Conclusion References Special Panel on Social Good Computational Models for Social Good: Beyond Bias and Representation 1 Introduction 2 Confirmed Participants 3 Invited Participants References Correction to: Chasing the Wrong Cloud: Mapping the 2019 Vaping Epidemic Using Data from Social Media Correction to: Chapter “Chasing the Wrong Cloud: Mapping the 2019 Vaping Epidemic Using Data from Social Media” in: R. Thomson et al. (Eds.): Social, Cultural, and Behavioral Modeling, LNCS 13558, https://doi.org/10.1007/978-3-031-17114-7_1 Correction to: Chasing the Wrong Cloud:Mapping the 2019 Vaping Epidemic UsingData from Social Media Author Index This book constitutes the proceedings of the 15th International Conference on Social Computing Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2022, which was held on September 20-23, 2022 in Pittsburgh, Pennsylvania. The goal of this conference is to build a community of social cyber scholars, bringing together and fostering interaction between members of the scientific, corporate, government, and military communities interested in understanding, forecasting, and impacting human sociocultural behavior. It is the charge of this community to build this new science, its theories, methods, and its scientific culture in a way that does not give priority to either social science or computer science, and to embrace change as the cornerstone of the community. As the papers in this volume show, people, theories, methods, and data from a wide number of disciplines are represented including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used, such as machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics