CALL FOR PAPERS Advanced Techniques and Emerging Trends in Cyber-Social Computing
摘要截稿:
全文截稿: 2018-11-30
影响因子: 2.663
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:硬件 - 3区
• 小类 : 计算机:跨学科应用 - 3区
• 小类 : 工程:电子与电气 - 3区
Overview
The rapid development of Web 2.0, IoT and Cyber Physical Systems (CPS) has increasingly brought the physical, social and mental spaces intertwined together into the cyberspace. Cyber-social networks have seamlessly integrated people’s routine life and social activities together. This scenario is calling for the diversified computing paradigms and computational intelligence algorithms, to systematically model the new phenomena, behaviors, properties and practices in the cyberspace. New models, strategies, and technologies, ranging from network dynamics, cognitive informatics, and data analytics, can be developed to effectively process the heterogeneous human individual information along with the broad applications in the cyber-social computing environments. Numerous challenges to be tackled in this context include: How to efficiently manage and handle the massive available cyber social data generated from various sources? How to systematically understand and recognize behavior patterns associated with the new phenomena across social-physical world? How to make best use of cyber social networks along with the computational intelligence hidden in tremendous human associations and interconnections in cyberspace, among others.
This special issue aims at bringing together researchers and engineers from both academia and industry to disseminate their innovations on the fundamental theories, models, and technological solutions in terms of development of intelligent applications with cyber-social analytics. Therefore, this special issue will have a great significance and profound impact on: (i) addressing original theoretical researches and practice-oriented developments in the cyber-physical-social-related field; (ii) presenting the foundational models, methodologies, and architectures, which can improve technologies to deal with emerging challenges in cyber-social computing; (iii) promoting the practical technologies to realize infrastructural frameworks, functional tools, and adaptive services regarding to cyber-enabled applications, and (iv) exploring interests to seek potential collaborations, and push forward the development of cyber-social computing with other related frontiers.
Topics include:
- Analysis of Network Dynamics in Cyberspace
- Knowledge Modeling and Management in Cyber-Social Networks
- Biological Neural Network Modeling across Social-Physical World
- Computational Learning Theory in Cyber Environment
- Information Diffusion and Sharing across Multiple Social Cyberspaces
- Cyber-Social Data Processing and Intelligence Mining
- Cyber-Physical Hybrid System Design
- Trust and Reputation in Social Cyberspace
- User Behavior Analysis and Modeling in Social Cyberspace
- User Influence Measure and Model in Social Cyberspace
- Community Detection and Structural Analysis in Social Cyberspace
- Semantic Social Network Analysis
- Data-Driven Interdisciplinary Modeling and Analysis
- Cyber-Enabled Learning Analytics
- Cyber-Physical Healthcare Services
- Privacy and Security in Social Cyberspace
- Cyber-Empowered Sentiment Analysis and Mental Computing