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SI IJWGS 2023 : Special Issue on: Social Computing with Cognitive Awareness for User-Centric Web Services


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Submission Deadline Sep 30, 2023

Call For Papers

To explore social information, behavior and context, social computing technologies for the use of computational devices have been widely applied to evaluate social interactions of their users in an effort to obtain new information. Beyond this conventional stand, the concept of socially intelligent computing can refer to the collective efforts of individuals to comprehend the interaction and useful information around the systems of people and computational devices used by people. Recently, thanks to the advance of behavior computing and cognitive computing, many emerging social systems endeavor to utilize user-centric intelligence for Web services and Web of things. Understanding the cognitive behavior of the users can contribute to the design, development, and management of Web-based applications. The Web computing with cognitive and behavioral awareness can accommodate its provision to users, and meanwhile the users can adhere to cognitive atmosphere because of adaptable usage and satisfied experience of individual behavior.
The prevalence of social applications on the Web and Internet ushers in many data processing and analysis studies that intend to promote the quality and merits of social information. While social systems are capable of cognitive awareness, they are able to synthesize data from various information sources and suggest the best possible answers as a result of weighing context and conflicting evidence. To achieve this goal, social systems adopt AI, machine learning and incremental learning technologies to simulate the “human thought process in complex situations” where the answers may be ambiguous and uncertain. After social systems could be aware of human thinking and behavior, their data processing capabilities will become user-centric, thereby being characterized by adaptive, interactive, stateful and contextual attributes. Prospectively, social systems can crank up cognitive strategies to encourage users to join in and express their emotions on their subscriptions and information demand on the social networks. Towards the socialization on the network, this trend -- social computing with cognitive awareness -- brings great potential and commercial values. Users will show their strong willingness and emotions on social networks. Users can extend the social application scope from physically-linked hosts to the cyber-world that chains up the multi-dimensional, multi-modal information and knowledge across social domains. Arising from such a newly-shaped social computing environment, the user-centric Web services will be aware of user behavior and emotion, application deployment, context adaptation, behavioral interaction, and media communications, and network deployment.
This special issue is for soliciting high quality technical papers addressing in the research field of social computing technologies for Web-based social systems and applications, which are particularly taking advantage of cognitive and behavioral awareness. Original and research articles are solicited in all aspects of theoretical studies, practical applications, new social technology and experimental prototypes.

Subject Coverage
In this special issue, we call for original papers that describe state-of-the-art technologies and new research findings. Suitable topics include, but are not limited to the following:
• Machine learning technologies for social Web services
• Cognitive technologies in modeling, analysis, pattern, prediction for social Web services
• Incremental maintenance for social Web services
• Human preference and sentiment analysis for Web-based social applications
• Visualization tools and systems for Web-based social applications
• Efficient resource utilization in Web computing on social Web services
• Social big data and cloud computing
• Security and privacy-preserving integration of social Web services
• Practical issues and applications for social Web services and Web of things
• Advanced technologies for social-based education and learning

Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

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