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| Journal Name: Human-Centric Intelligent Systems (HCIN) |
Journal Introduction: Human-Centric Intelligent Systems (HCIN) is a fully open access, international journal, dedicating to disseminating the latest research findings on all theoretical and practical applications in human-centric intelligent systems, and to providing cutting-edge theoretical and algorithmic insights in human-centric computing and analytics. All articles in HCIN are publishedfree of charge in 2025. |
Topics of interest include but are not limited to:
l Human-centered AI
l Human-centric data and management
l Information diffusion and modelling
l Diffusion source identification and network analysis
l Classification, ranking, summarizing and recommendation
l Social influence analysis
l Community detection and dynamics
l Disinformation and misinformation detection
l Network structure and community evolution analysis
l User modelling, personalization and recommendation
l Responsible AI, fairness and explainability
l Behavioral/choice modelling
l Behavioral dynamics and simulation
l User behavior and influence analysis
Editors-in-Chief:
Tianrui Li, School of Computing and Artificial Intelligence Southwest Jiaotong University, Chengdu, China, Email: trli@swjtu.edu.cn
Guandong Xu,School of Computer Science University of Technology Sydney, Sydney, Australia, Email:Guandong.Xu@uts.edu.au
Advisory Board Members:
Masaru Kitsuregawa, University of Tokyo, Tokyo, Japan
Philip S. Yu, University of Illinois at Chicago, Chicago, United States
HCIN Editorial Office: hcin@editorialoffice.cn
Author Guidelines:https://www.springer.com/journal/44230/submission-guidelines
For Submission, please visit:https://www.editorialmanager.com/hcin