Co-Sponsored by IEEE Systems, Man and Cybernetics Society and IEEE Computer Society
IEEE Transaction on Computational Social Systems began publication in 2014 and welcomes paper submissions that fall within its scope. IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. “Systems” include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.
Relevant Websites:
Upcoming Special Issues:
Special Issue on Few-shot/Zero-shot Learning for Knowledge Discovery in Social Networks
In the era of digital connectivity and social media, social networks have become massive repositories of information and interactions among individuals. These interactions encompass a wide array of topics, from personal interests and social relationships to discussions about events, products, and more. Extracting meaningful insights and knowledge from such vast and heterogeneous data is a challenge that traditional methods struggle to address. The necessity for “Few-shot/Zero-shot Learning for Knowledge Discovery in Social Networks” arises from the limitations of conventional techniques in dealing with the unique characteristics of social network data. The traditional approaches often require labeled training data and predefined categories, which may not be feasible in the context of evolving, dynamic, and unstructured social network data. This is where Few-shot/Zero-shot learning becomes highly relevant.
Guest Editors:
- Junyang Chen, Shenzhen University, China
- Jingcai Guo, The Hong Kong Polytechnic University, Hong Kong SAR, China
- Huan Wang, Huazhong Agricultural University, China
- Zhenghua Xu, Hebei University of Technology, China
- Mengzhu, Wang, Hefei University of Technology, China
- Nan Yin, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates
- Victor C.M. Leung, Shenzhen University / The University of British Columbia, China / Canada
Submissions for this issue will close on December 28, 2024
Download the Call for Special Issue(PDF)
IEEE Transactions on Computational Social Systems Call for paper for Special Issue on Music Intelligence and Social Computation
With the rapid development of computing technology, music intelligence has become an important research field of social computing, not only as an important direction of academic research but also as a technological impetus to subvert the music industry, with broad research space and significant application value. Realizing music intelligence by using music data as the carrier through the use of new-generation computing methods such as big data, big models, bioinformatics, and artificial intelligence technologies is an important development direction of social computing. However, due to the cross-modal characteristics of music data and the complexity of music perception and cognition, the field has great research challenges and difficulties, especially around key issues such as the mechanism of music’s regulation of human emotions, the impact of music on social behavior, the cognitive behavior of music, complex music information processing, cross-modal music information processing, etc. Consequently, there is an urgent need to further promote research in this field. Meanwhile, music intelligence has a broad and significant application prospect in the direction of music therapy, music perception, music composition, music production, etc., which can promote the development of social computing technology and realize industrial empowerment and upgrading. Therefore, exploring the industry applications of music intelligence and social computing also has high research urgency and great research significance.
The special issue will focus on the following topics:
- Research on music’s regulation on brain, recognition and human emotions
- Research on music’s influence on social groups and social behavior
- Interdisciplinary research of computational music with brain science, neuroscience, and psychology
- Novel computational music datasets, models, tasks, and evaluation methods
- Research on music therapy technologies and clinical applications for emotion disorders.
- Quantitative analysis theories and technologies for music data
- Research of computational music composition, music production, music perception and aesthetics.
- Novel industry applications, industry standards, and prototype systems for computational music
- Research on cross-modality modeling for music data with brain recognition
Submission Procedure
Manuscripts (2-column is required) should be submitted electronically through the IEEE online system according to the IEEE Transactions on Computational Social Systems journal guidelines and layout specifications.
Important Dates
- Paper Submission Deadline: March 1, 2024
- First Review Completed: June 15, 2024
- Revision Due: September 30, 2024
- Second Review Completed: November 15, 2024
- Final Manuscript Due: December 31, 2024
Guest Editors
- Xiaohong Guan, Xi’an Jiaotong University
- [email protected]
- Xiaobing Li, Central Conservatory of Music
- [email protected]
- Björn W. Schuller, Imperial College London, UK
- [email protected]
- Xinran Zhang, Central Conservatory of Music
- (Corresponding Editor) [email protected]
Special Issue on Social Manufacturing after ChatGPT
Social Manufacturing (SM), one of the emerging and fast-growing technologies, has attracted attention from academic and industry experts around the world. AI-powered intelligent manufacturing and personalization are becoming prevalent. Interesting research on SM has been conducted and shows promising application potential in the manufacturing fields. This special issue is expected to explore a wide range of topics related to SM including the connation and concept architecture of SM, advanced information and AI technologies for SM, and application verification of SM in real industrial scenarios.
Guest Editors:
- Fei-Yue Wang, Institute of Automation, Chinese Academy of Sciences, China
- Pingyu Jiang, Xi’an Jiaotong University, China
- Gang Xiong, Institute of Automation, Chinese Academy of Sciences, China
- MengChu Zhou, New Jersey Institute of Technology, USA
- Bernd Kuhlenkötter, Ruhr-Universität Bochum, GermanyPetri Helo, University of Vaasa, Finland
- Zhen Shen, Cloud Computing Center, Chinese Academy of Sciences, China
Submissions for this issue will close on January 1, 2024
Download the Call for Special Issue (PDF).
Special Issue on Interpretability and Explainability of Sentimental Analysis based on Social Media Platforms
By leveraging information from social media platforms and using artificial intelligence-based models, it is possible to make very accurate predictions for the sentimental analysis. However, for a model to classify data into different sentiment categories, it must have some knowledge of the intrinsic characteristics of the data as well as the representations of those characteristics. Most of the currently available models do not explain the reasons behind the process by which judgments are made. In this special issue, our goal is to strengthen the link between the field of sentimental analytics and AI-driven models (e.g., XAI), especially in terms of their interpretability and explainability.
Guest Editors:
- Jerry Chun-Wei Lin, Western Norway University of Applied Sciences, Norway
- Gautam Srivastava, Brandon University, Canada
- Jhing-Fa Wang, National Cheng Kung University, Taiwan
Submissions for this issue will close on November 30, 2023
Download the Call for Special Issue (PDF).
Special Issue on Social Innovation & Governance: Towards the Sustainable Digital Nation
During the past three decades, ‘social innovation’ has been increasingly gaining importance in social science research, and even more so, in practice, as our world has become increasingly interconnected due significant global challenges such as climate change, the Internet of things, sustainability, and global governance. Social and digital innovation and transformation have become key drivers for mitigating those challenges. To fully realize their potential, governance provisions need to be in place to support its dissemination across scope and scale.
Guest Editors:
- Saade, George Raafat, Beijing Institute of Technology, China
- Hao, Liu, Beijing Institute of Technology, China
- Hong, Guan, Beijing Institute of Technology, China
- Jun, Zhang, Beijing Institute of Technology, China
- Vahidov, Rustam, Concordia University, Canada
- Lahmiri, Salim, Concordia University, Canada
Submissions for this issue will close on March 31, 2023
Download the Call for Special Issue (PDF).
Special Issue on Big Data and Computational Social Intelligence for Guaranteed Financial Security
Digital finance has greatly facilitated people’s lives, accelerated the circulation of capital in various fields, and enhanced the vitality of financial markets. However, it exposes many increasing risks and hidden dangers, such as stock volatility, trading fraud, privacy leakage, etc. In addition, the storage security and high-performance computing of financial big data also faces challenges. This special issue aims to explore a wide range of issues related to financial security, paying close attention to digital currency, blockchain, fraud detection and control, secure storage and high-performance computing technologies, as well as other related studies and applications, especially with the help of AI technology.
Guest Editors:
- Changjun Jiang (Lead GE), Tongji University, China
- Fei-Yue Wang, Chinese Academy of Sciences, China
- Mengchu Zhou, New Jersey Institute of Technology, USA
- Asoke K. Nandi, Brunel University London, UK
- Guanjun Liu, Tongji University, China
Submissions for this issue will close on October 31, 2022
Download the Call for Special Issue (PDF).
Special Issue on Dark side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation
This special issue seeks high-quality and original contributions that advance the concept, methods, and theories by going insight into the dark side of the online information and address the mechanism and strategies to overcome the root cause of fake new through Artificial Intelligence (AI) and Deep Learning (DL). Thanks to the latest innovation in Artificial Intelligence and Deep Learning, which gives deeper knowledge based on previous history. Therefore, keeping the view of the latest innovations, we believe that this is a topic of challenges faced by multidisciplinary, i.e., computer science, marketing, management, biological science, etc.
Guest Editors:
- Gwanggil Jeon, Incheon National University, South Korea
- Xiaochun Cheng, Middlesex University London, UK
- Abdellah Chehri, Université du Québec à Chicoutimi, Canada
- Giancarlo Fortino, University of Calabria, Italy
- Marcelo Albertini, University of Uberlandia, Brazil
- Shiping Wen, University of Sydney Technology, Australia
Submissions for this issue will close on March 31, 2023.
Download the Call for Special Issue (PDF).
Special Issue on Responsible AI in Social Computing
Artificial intelligence (AI) continue demonstrating its positive impact on society and successful adoptions in data rich domains including social computing systems. Responsible AI is one of the most urgent challenges of our time. There are serious ethical and legal concerns about AI’s ability to make decisions in a responsible way. Many principles and guidelines for responsible AI have been issued by governments, research organisations, and enterprises. However, high-level principles are far from ensuring the trustworthiness of AI systems. There is a significant gap between high-level principles and low-level actionable practice for developers. In this special issue, we are looking for cutting edge technologies, novel studies, and promising developments, which can improve trustworthiness of AI in social computing systems. In addition, we welcome studies using social computing to achieve responsible AI in wider AI-driven systems.
Guest Editors:
- Qinghua Lu, CSIRO, Australia
- Weishan Zhang, China University of Petroleum, China
- Zhen Wang, Hangzhou Dianzi University, China\
- Qun Jin, Waseda University, Japan
- Vincenzo Piuri, University of Milan, Italy
Submissions for this issue will close on December 1, 2022
Download the Call for Special Issue (PDF).
Special Issue on Social Studies, Human Factors and Applications in Metaverse
The emergence of the blockchain-empowered metaverse will bring about a new online social relationship. For example, decentralized autonomous organizations (DAOs) promise to provide users with an emerging social and entertainment relationship in the metaverse. Social computing predicts the operation law and future development trend of the metaverse by studying user behavior and social relationships. In addition, it is easier to collect the data on the blockchain and make a detailed evaluation to better support the society of the metaverse. The unprecedented focus on and investment in the metaverse will speed up the development and breakthrough of related technologies, which will produce a series of open research questions about every aspect of the metaverse, including blockchain infrastructure and the ecosystem. Therefore, this special issue aims to offer a platform for researchers from both academia and industry to publish recent research findings and to discuss opportunities, challenges, and solutions related to the metaverse. This special issue solicits original research papers about state-of-the-art approaches, methodologies, insights, and technologies enabling efficiency, and theories and practical applications towards the realization of the metaverse. Potential topics of interest include but are not limited to the following:
- Quantitative and qualitative analysis for the metaverse social ecosystem
- Social behaviors/network modeling for the metaverse ecosystem
- Quality of Experience (QoE) studies in metaverse
- Visualization for big data in metaverse social ecosystem
- Visualization tools and implementation in metaverse
- Novel social applications and services in the metaverse
- Novel DAOs design including incentive mechanism and governance for the metaverse
- Novel Decentralized Finance (DeFi) support for the metaverse
- Novel social network applications for metaverse
- Novel ubiquitous access techniques for the metaverse
- Novel methods to solve the network challenges and issues for the metaverse
- Other social research topics that are closely related to metaverse systems
Guest Editors:
- Wei Cai, The Chinese University of Hong Kong, Shenzhen, China
- Jian Zhao, University of Waterloo, Canada
- Xinning Gui, The Pennsylvania State University, USA
- Mounira Msahli, Telecom Paris, France
- Victor C.M. Leung, Shenzhen University / The University of British Columbia, China / Canada
Submissions for this issue will close on May 31, 2022
Download the Call for Special Issue (PDF).
Special Issue on Federated Learning-Based Computing for Socially Implemented IoMT Systems: How Will Healthcare Systems Change?
The current advances of wearable sensors show the shining future of socially implemented internet of medical things (IoMT) devices (e.g., smartwatches). However, machine learning approaches in these devices cannot be applied well, because almost all the processing in the IoMT devices is now being performed in classic forms (centralized computing) or based on cloud services. This special issue will try to extend our knowledge about how to apply collaborative learning to IoMT considering social edge/fog nodes’ facilities.
Guest Editors:
- Dr. Chinmay Chakraborty, Birla Institute of Technology, Mesra, India
- Dr. Mohammad Khosravi, Persian Gulf University, Iran
- Dr. Alireza Jolfaei, Macquarie University, Australia
- Dr. Gwanggil Jeon, Incheon National University
- Dr. Joel J. P. C. Rodrigues, SENAC Faculty of Ceará, Fortaleza – CE, Brazil
- Dr. Mohammad Khosravi, Persian Gulf University, Iran
- Dr. Marco Anisetti, University of Milan, Italy
- Dr. Seunggil Jeon, Samsung Electronics, South Korea
- Dr. Gabriella Casalino University of Bari, Italy
Submissions for this issue will close on June 30, 2022
Download the Call for Special Issue (PDF).
Special Issue on Social Computing and Societies 5.0: Toward Social Intelligence via Cyber Movement Organizations
This special issue aims to explore a wide range of issues related to social computing and societies 5.0, including the key technologies in social computing, and the potential issues and situations in the future intelligent society.
Guest Editors:
- Associate Prof. Xiao Wang, Institute of Automation, Chinese Academy of Sciences, China (Corresponding Editor)
- Prof. Sunshine Zhang, New York University, United States 3)
- Prof. Zhe Wan, Beijing Normal University, China 4)
- Prof. Jiade Luo, Tsinghua University, China 5)
- Prof. Xiaofeng Meng, Renmin University, China 6)
- Prof. Fei-Yue Wang, Institute of Automation, Chinese Academy of Sciences, China
Submissions for this issue will close on February 1, 2022
Download Call for Special Issue (PDF).
Special Issue on Knowledge-Infused Learning for Computational Social Systems
Over the last decades, research on computational social systems has gained much more attention, with thousands of researchers and practitioners leveraging diverse research findings and experimental models to enrich this domain. Thanks to the digital age, which has made the computational social system a reality. However, the integration of this technology in our daily lives leads to the generation of enormous amounts of data. The scale of this data is vast, and it presents unprecedented opportunities to examine complex social behaviours, ranging from the proliferation of infectious disease to socio-economic disparity. Probably these instances were further enhanced with the associated research findings.
Guest Editors:
- Tu Nguyen (Lead Guest Editors), Kennesaw State University, USA.
- Vincenzo Piuri, University of Milan, Italy
- Joel Rodrigues , Federal University of Piauí (UFPI), Teresina – PI, Brazil
- Lianyong Qi, Qufu Normal University, China
- Shahid Mumtaz, Instituto de Telecomunicações, Portugal
- Warren Huang-Chen Lee, National Chung Cheng University, Taiwan
Submissions for this issue will close on October 5, 2022
Download Call for Special Issue (PDF).
Special Issue on Advanced Cognitive Computing for Data-Driven Computational Social Systems
This special issue aims to solicit high-quality original research papers, which address the cutting-edge theories, models, and applications for data-driven computational social systems, supported by advanced cognitive computing technologies.
Guest Editors:
- Wei Wang, Sun Yat-sen University, China
- Vincenzo Piuri, University of Milan, Italy
- Takuro Sato, Waseda University, Japan
- Moayad Aloqaily, xAnalytics Inc., Canada
- Keping Yu, Waseda University, Japan
Submissions for this issue will close on December 31, 2021
Download Call for Special Issue (PDF).
Special Issue on Behavioral Modeling, Learning, and Adaptation in Cyber-physical Social Intelligence
Technological innovations have led to the emergence of digital finance such as online payment, online insurance, online lending, and supply chain finance. Digital finance has greatly facilitated people’s lives, accelerated the circulation of capital in various fields, and enhanced the vitality of financial markets. However, it exposes many increasing risks and hidden dangers such as stock volatility, trading fraud, and privacy leakage. In addition, the storage security and highperformance computing of financial big data also faces challenges. How to calculate, control, manage, and utilize effectively financial big data in order to ensure financial security, especially with the help of artificial intelligence technology, is an important research field. The special issue aims to explore a wide range of issues related to financial security. The central theme of the special issue is Big Data and Computational Social Intelligence for Guaranteed Financial Security, paying close attention to artificial intelligence, digital currency, blockchain, fraud detection and control, secure storage and high-performance computing technologies, as well as other studies and applications closely related to financial security. Topics to be covered include, but are not limited to, the following:
- Data mining and knowledge automation for financial security
- Financial risk assessment and forecasting such as stock forecasting and online lending
- Privacy protection technology for financial security
- Threat models and attack technique to finance
- Blockchain and digital currency
- Legal, ethical and societal aspects of digital currency
- Regulatory technologies and policies for digital finance
- Storage security and high-performance computing of financial big data
- Prevention of financial crimes such as transaction fraud, money laundering, illegal financing, and tax evasion
Important Dates
- Submissions for this issue will close on May 31, 2022
Guest Editors:
- Ying (Gina) Tang, Rowan University, USA
- Jiacun Wang, Monmouth University, USA
- Hui Yu, University of Portsmouth, UK
- Amir Hussain, Edinburgh Napier University, UK
- Giancarlo Fortino, University of Calabria, Italy
- Fei-Yue Wang, Chinese Academy of Sciences, China
Submissions for this issue will close on May 31, 2022
Download Call for Special Issue (PDF).
Special Issue on Generating Human Readable Explanations in NLP
The aim of this Special Issue is to attract explainable methods to generate human readable explanations with the purpose to stimulate discussion on the design, use and evaluation of novel Explainable Deep Learning models as the critical knowledge-discovery drivers to recognize, interpret, process and simulate human emotion for various NLP tasks.
Guest Editors:
- Imran Razzak, Deakin University, Australia (Corresponding Editor)
- Reda Bouadjenek, Deakin University, Australia
- Aamir Cheema, Monash University, Australia
- Ibrahim A Hameed, NTNU, Norway
- Guandong Xu, University of Technology, Sydney, Australia
- Amin Beheshti, Macquarie University, Australia
Submissions for this issue will close on December 26, 2021
Download Call for Special Issue (PDF).
Special Issue on Computational Social Systems for COVID-19 Emergency Management and Beyonds
This special issue aims to provide a much urgent and needed research work report in response to the ongoing COVID-19 pandemic, and share novel ideas, techniques and results on computational social systems based smart emergency.
Guest Editors:
- Jun Jason Zhang, Wuhan University (Corresponding Editor)
- Fei-Yue Wang, The State Key Laboratory for Management and Control of Complex Systems
- Yong Yuan, Institute of Automation, Chinese Academy of Sciences
- Guandong Xu, University of Technology Sydney
- Huan Liu, Arizona State University
- Wei Gao, Singapore Management University
- Shoaib Jameel, University of Essex
- Imran Razzak, Deakin University
- Peter Eklund, Deakin University
- Sheraz Ahmed, German Research Center for Artificial Intelligence
- Rui Qin, Institute of Automation, Chinese Academy of Sciences
- Juanjuan Li, Beijing Institute of Technology
- Xiao Wang, Qingdao Academy of Intelligent Industries
- De-Nian Yang, Academia Sinica, Taiwaz
- Damla Turgut, University of Central Florida, USA
- Abderrahim Benslimane, University of Avignon, France
- Neeli Prasad, SmartAvatar B.V., Netherlands
- Kwang-Cheng Chen, University of South Florida, USA
Submissions for this issue will close on June 30, 2020
Download Call for Special Issue (PDF).
Special Issue on Collaborative Edge Computing for Social Internet of Things Systems
This special issue intends to solicit original research and practical contributions from both industry and academia to advance collaborative edge computing in social IoT systems, regarding the corresponding architecture, technologies and applications.
Guest Editors:
- Zhaolong Ning, Dalian University of Technology, China
- MengChu Zhou, New Jersey Institute of Technology, USA
- Yong Yuan, Institute of Automation, Chinese Academy of Sciences, China
- Edith C. H. Ngai, Uppsala University, Sweden
- Ricky Y. K. Kwok, The University of Hong Kong, Hong Kong
Download Call for Special Issue (PDF).
Special Issue on Hybrid Human-Artificial Intelligence for Social Computing
This special issue aims to bring together researchers from both industry and academia to explore the potential of H-AI for social computing, including novel theories, concepts and paradigms as well as key techniques and typical applications.
Guest Editors:
- Weishan Zhang, China University of Petroleum (East China), China
- Huansheng Ning, University of Science and Technology Beijing, China
- Lu Liu, University of Leicester, UK
- Qun Jin, Waseda University, Japan
- Vincenzo Piuri, University of Milan, Italy
Submissions for this issue will close on October 30, 2019
Download Call for Papers (PDF).
Special Issue on Social Sensing and Privacy Computing in Intelligent Social Systems
This special issue is devoted to the most recent developments and research outcomes addressing the related theoretical and practical aspects on social sensing and privacy computing in intelligent social systems, and it also aims to provide worldwide researchers and practitioners an ideal platform to innovate new solutions targeting at the corresponding key challenges.
Guest Editors:
- Yulei Wu, University of Exeter, United Kingdom
- Fei Hao, Shaanxi Normal University, Xi’an, China
- Juanjuan Li, Qingdao Academy of Intelligent Industries, China
- Neil Y. Yen, The University of Aizu, Japan
- Yi Pan, Georgia State University, USA
- Victor C.M. Leung, University of British Columbia, Canada
Submissions for this issue will close on June 30, 2019.
Download Call for Papers (PDF).
Special issue on Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis
This special issue aims to provide a forum for researchers from the perspective of cognitive computing to present recent progress on state-of-the-art methods and applications to human behavior analysis.
Guest Editors:
- Yizhang JIANG. Jiangnan University, China.
- Liu Liu, Nanjing University of Posts and Telecommunications, China.
- Rui Qin, Institute of Automation，Chinese Academy of Sciences, Beijing, China.
- Jiacun Wang, Monmouth University, USA.
- Reza Zare, Department of Informatics, University of Leicester, UK.
Submissions for this issue will close on May 31, 2020.
Download Call for Papers (PDF).
Special Issue on Integrating Social Networks with IoT Solutions
Social networks are one of the most popular services in the last decade yet are still growing quickly. The Internet of Things (IoT) promises billions of smart devices interconnected that potentially will kickstart the next industrial revolution. Rapid advances in social networks, IoT, and other symbiotic technologies derive a strong need to integrate social networking into IoT and converge at a new paradigm named social Internet of Things (SIoT). The symbiosis of IoT and social networks integrates computing, communication, sensing and system engineering, which is to produce significant social implications for both the devices and humans.
Guest Editors:
- Prof. Jun Zhang, Department of Electrical and Computer Engineering, University of Denver, USA
- Dr. Shancang Li, Department of Computer Science, University of the West of England, UK
- Dr. Shuangshuang Han, The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, China
- Prof. Bill Buchanan, School of Computing, Edinburgh Napier University, UK
- Dr. Xiao Wang, Qingdao Academy of Intelligent Industries, China
- Dr. Theo Tryfonas, Faculty of Engineering, University of Bristol, UK
Submissions for this issue closed on February 28, 2018.
Download Call for Papers (PDF).
Special Issue on Parallel and Distributed Processing for Computational Social Systems
Computational methods to represent, model and analyze problems using social information have come a long way in the last decade. Computational methods, such as social network analysis, have provided exciting insights into how social information can be utilized to better understand social processes, and model the evolution of social systems over time. Meanwhile, the emergence of parallel architectures, in the form of multi-core/many-core processors, and distributed platforms, have provided new approaches for large-scale modeling and simulation, and new tools for analysis. This special issue provides a platform to bring together interdisciplinary researchers from areas, including computer science, applied mathematics, social sciences, and computer engineering, to showcase innovative research in computational social systems that leverage the emerging trends in parallel and distributed processing, computational modeling, and high performance computing.
Guest Editors:
- Dr. Eunice E. Santos, Illinois Institute of Technology, USA
- Dr. John Korah, Illinois Institute of Technology, USA
Submissions for this issue closed on January 31, 2018.
Download Call for Papers (PDF).
Special Issue on Augmenting Urban Brain with Visual and Social Intelligence
Cities are complex systems that comprise physical infrastructure, cyber information, and social communities. Urban brain is conceptualized to shape the way a city runs in almost every aspect, from individuals’ daily lives to governments’ city management, such as urban planning and intelligent transportation systems. Visual intelligence combines automatic analysis with interactive visualizations, and social intelligence manages complex social relations and environments. This special issue aims to bring together researchers from both visualization and social computing communities to push forward the R&D for urban brain by leveraging the most recent progress in visual and social intelligence.
Guest Editors:
- Prof. Wei Chen, State Key Lab of CAD&CG, Zhejiang University, China
- Prof. Yisheng Lv, The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences; Qingdao Academy of Intelligent Industries, China
- Prof. Andreas Kerren, Department of Computer Science, Linnaeus University, Sweden
- Dr. Jing Xia, Ali-cloud, Alibaba, China
- Dr. Wei Zeng, Future Cities Laboratory, ETH Zurich, Switzerland
Submissions for this issue closed on May 31, 2018.
Download Call for Papers (PDF).
Special Issue on Blockchain-based Secure and Trusted Computing for IoT
Both the IoT and blockchain are two of the most transformative technologies in the world today. By employing the blockchain, IoT solutions can enable secure, trusted messaging between devices and maintain a decentralized, trusted leger of all transactions without the need to of centralized authority and management. This special issue aims to bring together researchers from both academia and industry to discuss the most recent advances on integrating social network with IoT solutions.
Guest Editors:
- Dr. Shancang Li, Department of Computer Science, University of the West of England, UK
- Dr. Yong Yuan, Institute of Automation, Chinese Academy of Sciences, China
- Prof. Jun Zhang, Department of Electrical and Computer Engineering, University of Denver, USA
- Prof. Bill Buchanan, School of computing, Edinburgh Napier University, UK
- Prof. Erwu Liu, School of Electronics Information Engineering, Tongji University, China
- Dr. Ramesh Ramadoss, IEEE P2418 Blockchain WG Chair & IEEE Blockchain Initiative Co-Chair, USA
Submissions for this issue will close on May 31, 2018 – Deadline Extended to December 31, 2018.
Download Call for Papers (PDF).
Special Issue on Human-Centric Cyber Social Computing
This special issue aims to seek new understanding of attributes common to human and cyber society, and reveal theoretical and practical problems of cyber social systems in a computational way. We solicit high-quality academic and technical papers addressing issues, challenges and promising solutions extensively related to human-centric cyber social computing.
Guest Editors:
- Qun Jin, Waseda University, Japan
- Weimin Li (Corresponding Editor), Shanghai University, China
- Song Guo, The Hong Kong Polytechnic University, Hong Kong, China
- Sethuraman Panchanathan, Arizona State University, USA
Submissions for this issue will close on Dec. 1, 2018 – Deadline Extended to February 1, 2019.
Download Call for Papers (PDF).
Special Issue on Computational Social Science for Public Policy and Citizen Wellbeing
This special issue is interested in papers that demonstrate how computational methods are used to solve social science problems related to public policy and citizen wellbeing. In other words, the special issue seeks social science studies using computational methods.
Guest Editors:
- Jonathan Zhu, City University of Hong Kong, China
- Xiaofeng Meng, Renmin University of China, China
- Xiaoming Li, Peking University, China
Submissions for this issue will close on June 30, 2018 – Deadline Extended to August 31, 2018.
Download Call for Papers (PDF).
Special Issue on Advances of Social Media Analytics for Behavioural Healthcare Systems: Theory, Methods and Applications
The central theme of this special issue is on the development and application of advanced Social Media Analytics for behavioural healthcare systems, where current theories, approaches, applications to leverage technology to promote behaviour health, including social influence analysis, social networks analytic, security, trust and privacy of social data, and large-scale medial data analytics for behaviour healthcare applications are the focus areas, and broad aspects and issues will be well discussed.
Guest Editors:
- Dr. Po Yang, Liverpool John Moores University, UK
- Prof. Bin Sheng, Shanghai Jiao Tong University, China
- Prof. Wenyan Wu, Birmingham City University, UK
- Dr. Yong Yuan, Institute of Automation, Chinese Academy of Sciences, China
Submissions for this issue will close on August 31, 2018 – Deadline Extended to November 30, 2018.
Download Call for Papers (PDF).
Special Issue on Ransomware and Its Social Impacts
This Special Issue will focus on the need to create formal methods and models to address ransomware and its threat to critical infrastructure. Ransomware is the malicious software that locks a computer until an extorted fee or ransom is paid for the key to unlock it. This ransom is usually paid in a “virtual currency” over the Internet, but it may also be paid in actual currency. Extortionists are becoming more sophisticated in their attacks, and their successful attacks are creating disruptive effects on their victims’ systems. While many attacks have generally had an impact on individuals or a public or private entity, WannaCry and NotPetya were attacks on critical infrastructure that cascaded onto a broader population.
Guest Editors:
- (Main) Peter Chin, PhD, Boston University and Systems & Technology Research
- Daniel G. Wolf, Cyber Pack Ventures, Inc.
- Donald L. Goff, PhD, Cyber Pack Ventures, Inc.
- Angelos Keromytis, PhD, Defense Advanced Research Project Agency & Columbia University
- George Cybenko, PhD, Dartmouth College
- Rui Qin, PhD, Qingdao Academy of Intelligent Industries, China
Submissions for this issue will close on October 15, 2018
