Theme and Scope

The rapid evolution of internet technology has led to the emergence of social intelligent computing, where artificial intelligence, cognitive computing, and social network analysis converge to enhance digital interactions. This special issue explores the integration of social intelligence in internet technology, focusing on how computational models, machine learning, and big data analytics can optimize user-centric applications and improve decision-making in dynamic digital environments.

Social intelligent computing plays a critical role in enabling adaptive, interactive, and context-aware internet applications. By understanding human behavior, cognitive processes, and social dynamics, intelligent systems can facilitate personalized user experiences, enhance online communication, and support smart decision-making in various domains such as e-commerce, healthcare, education, and cybersecurity. Additionally, the intersection of AI-driven computing and social intelligence has the potential to reshape smart cities, IoT ecosystems, and next-generation digital infrastructures.

This special issue invites original research contributions, case studies, and review articles that advance the field of social intelligent computing in internet technology. The aim is to foster discussions on novel methodologies, frameworks, and applications that leverage AI, big data, and emerging technologies to enhance social interactions, trust, and decision-making in connected environments.

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:

• Social Intelligence in Internet Systems
• Cognitive Computing in Internet Applications
• Internet of Things (IoT) and Social Computing
• Cloud and Edge Computing for Social Intelligence
• Artificial Intelligence and Machine Learning for Social Computing
• Cybersecurity and Privacy in Social Intelligent Computing
• 5G and Next-Generation Networks for Social Applications
• Blockchain and Distributed Ledger Technologies in Social Computing
• Big Data Analytics for Social and Cognitive Applications
• Human-Computer Interaction and Cognitive User Interfaces
• Smart Cities, Smart Infrastructure, and Social Intelligence
• Advanced technologies for social-based education and learning

Submission Guidelines

• Submitted papers should not be currently under consideration for publication elsewhere.
• Previously published conference papers should be extended by at least 70% new material for the journal version.
• All papers are refereed through a peer review process.
• All submitted papers must conform to the layout and format guidelines of JIT.
• Submissions must be directly sent via email to Leading Guest Editor, Prof. Lin Hui: amar0627@gms.tku.edu.tw

Important Dates

• Submission Deadline: September 30, 2025
• Notification of Acceptance/rejection/revision: November 30, 2025
• Revised manuscript due: December 31, 2025
• Final Manuscript Due: January 31, 2026
• Publication Date: The 3rd quarter of 2027

Guest Editors

• Professor Nam Ling
• Department of Computer Science and Engineering, Santa Clara University, USA
• Email: nling@scu.edu

• Professor Timothy K. Shih
• National Central University, Taiwan
• Email: timothykshih@gmail.com

• Professor Lin Hui (Leading Guest Editor)
• Tamkang University, Taiwan
• Email: amar0627@gms.tku.edu.tw; amar0627@gmail.com