Call for Chapter
Edited Book on
“ Book Title - " Structural and Behavioral Analysis in the Metaverse "
Publisher -Wiley
The Publisher will send the Book for Indexing: Scopus and offered to Web of Science
Call for Chapter
Edited Book on
“ Book Title - " Structural and Behavioral Analysis in the Metaverse "
Publisher -Wiley
The Publisher will send the Book for Indexing: Scopus and offered to Web of Science
Important Guidelines for Chapter Preparation
Note that all chapters will be put through similarity software and publisher’s guidelines are an overall similarity index of less than 15% (with maximum 3% from any single source). Each Chapter should have Minimum of 18 Pages.
Reviewing Policy: The editor(s) will engage 2 single blind peer-reviewers to assess originality, clarity, usefulness, and adherence to scope of project.
Submission Guidelines
All Chapters must be original and not simultaneously submitted to another journal or conference.
Important Dates:
Submission Deadline -
20-March-2026
Details
About the topic
Book Title - " Structural and Behavioral Analysis in the Metaverse "
Short Summary of Book
This book investigates the convergence of machine learning, online social networks (OSNs), and Metaverse ecosystems, with a specific focus on identifying and modeling both structural and behavioral patterns that govern user interaction and network evolution in immersive digital environments. It presents a multidisciplinary exploration of graph theory, deep learning, neuro-symbolic AI, behavioral analytics, and XR-based social systems to decode complex interaction topologies and emergent behavior within 3D, augmented, and virtual social spaces.
The book captures recent advances in social graph mining, pattern recognition, user influence modeling, and anomaly detection, offering readers a comprehensive toolkit for developing intelligent, privacy-preserving, and adaptive systems for real-time social network analysis in the Metaverse.
This edited volume explores the intersection of machine learning, online social networks (OSNs), and immersive Metaverse environments, focusing on the classification and interpretation of structural and behavioral patterns that emerge within these systems. As Metaverse platforms evolve beyond conventional communication models, users interact in real-time 3D spaces via avatars, voice, motion, and gestures—generating dynamic, multi-modal data. This book presents state-of-the-art computational frameworks and algorithmic strategies to understand, predict, and manage user behavior, group dynamics, influence propagation, and anomalous activity in such environments.
The book takes an advanced analytical approach, incorporating cutting-edge methods such as Graph Neural Networks (GNNs), Spatiotemporal Transformer Models, Neuro-symbolic AI, Federated Pattern Learning, and Contrastive Self-Supervised Learning. It emphasizes both the structural patterns (like community formation, clustering, and influence networks) and behavioral patterns (such as engagement loops, immersive behavior shifts, and emergent group sentiment) to develop robust models that can operate in real-time and under high-dimensional, immersive conditions. Additionally, ethical concerns, privacy-preserving modeling, and adversarial attacks within these ecosystems are addressed from both theoretical and application perspectives.
The importance of this subject is underscored by the growing adoption of Metaverse platforms across education, commerce, entertainment, remote collaboration, and digital governance. These platforms generate new forms of social data that challenge traditional OSN analytics. By combining immersive social science with machine learning, this book fills a vital gap in understanding how human behavior and community structures evolve in synthetic environments. The intended audience includes academic researchers, graduate students, industry practitioners, and developers of Metaverse applications, particularly those involved in AI, HCI, cybersecurity, social computing, and immersive system design. The book is suitable for advanced-level readers and also as a reference for emerging research directions.
Tentative Chapter Titles ( For Proposed Theme and Idea )-
Metaverse-Driven OSNs: A Paradigm Shift in Social Interaction Architecture
Pattern Taxonomies in Immersive Social Systems: Structural, Behavioral, and Temporal Dimensions
Graph Neural Networks and Hypergraph Models for Social Pattern Mining in 3D Virtual Worlds
Spatiotemporal Machine Learning in Virtual Social Networks: From Movement Trails to Social Context
Self-Supervised and Contrastive Learning for Behavioral Signal Detection in Immersive OSNs
Modeling Influence Cascades and Community Evolution in the Metaverse using Dynamic Graphs
Emotion-Aware Interaction Modeling: Inferring Affect Patterns in Avatar-Based Communication
Anomaly and Threat Pattern Detection in Virtual Societies using Deep Reinforcement Learning
Role-Based Pattern Recognition in Virtual Economies and Metaverse Governance Systems
Agent-Based Simulation for Emergent Pattern Discovery in Synthetic Social Populations
Federated Learning and Privacy-Preserving Pattern Analytics in Distributed Metaverse OSNs
Neuro-Symbolic AI for Interpretable Social Behavior Classification in XR Spaces
Multimodal Behavioral Pattern Integration: Combining Gaze, Gesture, Voice, and Movement
Edge AI and On-Device Pattern Recognition for Real-Time Immersive Interaction Analysis
Digital Twin Frameworks for Modeling and Predicting Long-Term Behavioral Trends
Visualizing Complex Social Patterns in 3D Networks: Tools, Techniques, and User Interfaces
Ethics of Predictive Pattern Mining in Immersive Digital Worlds: Risks and Remedies
Pattern-Based Identity Verification and Bot Detection in Avatar-Dense Platforms
Behavioral Pattern Analysis in Education and Remote Collaboration Metaverse Environments
Case Studies in Metaverse OSNs: Roblox, Horizon Worlds, Decentraland, and Beyond
Cognitive Pattern Engineering: Toward Emotionally Adaptive and Socially Aware AI in the Metaverse
Hybrid Pattern Architectures for Cross-Reality Social Ecosystems (XR + OSNs)
Pattern Evolution Modeling under Shifting Digital Norms and Sociocultural Contexts
Open Challenges in Behavioral Modeling, Generalization, and Meta-Learning in Immersive OSNs
Future Trajectories in Structural-Behavioral Integration: Toward the Self-Aware Social Network
Digital Mental Health in the Metaverse: Detecting Psychological Patterns via Immersive OSNs
Smart Education in Virtual Worlds: Analyzing Learning Behavior and Social Patterns in Metaverse Classrooms
Pattern-Based Telehealth Networks in Immersive Environments: A Machine Learning Perspective
Social Pattern Prediction in Crisis Response Networks: Metaverse Applications for Emergency Management
Digital Urbanism: Using OSN Patterns in the Metaverse for Smart City Simulation and Planning
Gamified Pattern Analytics in Immersive Entertainment Platforms: From User Retention to Toxicity Detection
Behavioral Biometrics in Metaverse OSNs: Securing Virtual Identity Through Pattern Recognition
Military Training and Social Simulation: Recognizing Tactical Behavior Patterns in Immersive Environments
Metaverse Journalism: Tracking Misinformation and Trust Patterns in Immersive News Platforms
Human-Robot Interaction in Shared Virtual Spaces: Structural Pattern Recognition in Collaborative Metaverse OSNs
Immersive Legal Frameworks: Behavioral Pattern Modeling for Virtual Law Enforcement and Digital Jurisdiction
Digital Twin Cities and Behavioral Simulation for Urban Planning in OSNs
Workplace Analytics in the Virtual Office: Modeling Productivity and Collaboration Patterns
Cultural Anthropology in the Metaverse: Studying Virtual Social Structures and Behavioral Norms
Fashion and Consumer Behavior in Virtual Economies: Pattern-Based Market Segmentation
Neurodiversity and Social Pattern Recognition in Immersive Therapy Networks
Green Computing and Sustainability Patterns in Decentralized OSNs of the Metaverse
Immersive Sports Analytics: Tracking Athletic Behavior and Fan Engagement in Virtual Arenas
Legal Forensics in the Metaverse: Tracking Fraud and Criminal Behavior via Social Pattern Mining
Digital Faith Communities and Ritual Patterns: Behavioral Analytics in Virtual Religious Networks
Edge-Accelerated Pattern Analytics in Metaverse OSNs: Optimizing Real-Time Processing for Social Interaction
Scalable Cloud Architectures for Behavioral Pattern Mining in Metaverse-Based Social Networks
Signal Processing in the Metaverse: Communication Pattern Extraction from Multimodal Interaction Streams
Adaptive Learning Models for Cross-Domain Pattern Classification in Immersive OSNs
Kinematic Behavior Modeling of Avatars for Immersive Human-Machine Interaction in Virtual Engineering Labs
Virtual Infrastructure Monitoring: Social Behavior Patterns and Crowd Simulation in Digital Twin Cities
Neural Signal Pattern Recognition in EEG-Integrated OSNs for Emotion-Aware Metaverse Interactions
Embedded Pattern Detection Systems for IoT-Enabled Social Wearables in the Metaverse
Sensor Fusion and Real-Time Behavioral Pattern Tracking in Immersive Social Networks
Human-Robot Social Pattern Learning in Mixed-Reality Collaborative Environments
Social Behavior Simulation in Immersive Training for Aerospace Mission Collaboration
Pattern-Driven Virtual Collaboration in Chemical Process Design Using Immersive OSNs
Avatar-Based Biomedical Monitoring: Behavioral Pattern Recognition for Virtual Patient Therapy
Workflow Pattern Optimization in Immersive Manufacturing Spaces using Behavioral Analytics
Modeling Load-Bearing Social Interactions: Structural Pattern Analytics for Crowd Movement in Virtual Infrastructures
Interactive Control Systems for Behavioral Pattern Synchronization in Hybrid Avatars
Social Patterns for Sustainability: Monitoring Eco-Behavior in Metaverse Green Campaigns
Immersive Simulations for Naval Crew Behavior Analysis in OSN-Integrated Ship Training Modules
Driver and Passenger Interaction Patterns in Immersive Mobility OSNs
Design Patterns for Immersive Social Software: Engineering Adaptive Metaverse OSNs
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