International Journal of Social Network Mining
- Editor in Chief
- Prof. I-Hsien Ting
- ISSN online
- 1757-8493
- ISSN print
- 1757-8485
- 2 issues per year
IJSNM is dedicated to advancing the theoretical foundations, methodologies and practical applications of social network analysis and mining. Its scope encompasses digital, organisational and societal contexts, fostering interdisciplinary dialogue across computational sciences, business, education and knowledge management. The journal values methodological diversity and invites submissions utilising both quantitative and qualitative approaches. Beyond original research, IJSNM publishes high-impact review articles, theoretical contributions and applied case studies that deepen our collective understanding of social network dynamics.
Topics covered include
- Foundational network modelling: Exploring theoretical frameworks, dynamic temporal analysis and the evolution of complex social structures over time
- Multilayer and agent-based systems: Integrating multiplex network theory with multi-agent modelling to simulate interactions within sophisticated social ecosystems
- Social capital and qualitative insights: Combining mixed-method research with modelling of trust, influence and the intangible value of social capital
- Advanced graph mining: Leveraging scalable algorithms and distributed computing to extract meaningful patterns from massive social datasets
- Neural networks and representation learning: Applying graph neural networks (GNNs) and deep learning to achieve sophisticated data representation and predictive accuracy
- Organisational and knowledge networks: Analysing enterprise social networks to optimise knowledge diffusion, digital transformation and internal collaboration
- Strategic business ecosystems: Mapping supply chains and startup networks to drive innovation and network-based competitive strategies
- Educational learning analytics: Using network methods to enhance online learning communities, MOOCs and AI-supported collaborative education
- Digital society dynamics: Studying viral diffusion, online community behaviour and the impact of human-AI interaction on social systems
- Marketing and influencer ecosystems: maximising influence through viral marketing, social recommender systems and analysis of the creator economy
- Consumer and brand analytics: Decoding consumer network behaviour and engagement within brand communities to drive social commerce
- Security and responsible mining: Detecting fraud, bots and misinformation while ensuring privacy-preserving and ethical data analytics
Objectives
The objective of IJSNM is to establish an effective channel of communication between policy makers, intelligence agencies, law enforcement, academic and research institutions and persons concerned with the complex role of social network mining in society.
Readership
IJSNM provides a vehicle to help professionals, intelligence agencies, academics, researchers and policy makers working in the fields of knowledge management, engineering and business education to disseminate information and to learn from each other's work.
Contents
IJSNM publishes original papers, review papers, case studies, occasional technical reports, conference reports and book reviews. Special Issues devoted to important topics in knowledge management, social network analysis, information visualisation, music information retrieval and link analysis will occasionally be published.
Browse issues
Editor in Chief
- Ting, I-Hsien, National University of Kaohsiung, Taiwan, ROC
(ijsnmeditor
gmail.com)
Regional Editor Asia and Far East
- Liu, Jiming, Hong Kong Baptist University, Hong Kong SAR, China
Regional Editor Europe
- Malerba, Donato, Università degli Studi di Bari, Italy
Regional Editor USA
- Cook, Diane J., Washington State University, USA
Editorial Board Members
- An, Aijun, York University, Canada
- Bry, Francois, Ludwig-Maximilians-Universität München, Germany
- Carminati, Barbara, University of Insubria, Italy
- Ceci, Michelangelo, Università degli Studi di Bari, Italy
- Cong, Gao, Nanyang Technological University, Singapore
- Cremilleux, Bruno, Université de Caen, France
- Elomaa, Tapio, Tampere University of Technology, Finland
- Esposito, Floriana, Università degli Studi di Bari, Italy
- Friemel, Thomas N., University of Zurich – IPMZ, Switzerland
- Guillet, Fabrice, Nantes University, France
- Hacid, Hakim, Zayed University, United Arab Emirates
- Hadzikadic, Mirsad, University of North Carolina at Charlotte, USA
- Hamilton, Howard J., University of Regina , Canada
- Holder, Larry, Washington State University , USA
- Japkowicz, Nathalie, American University, USA
- Kostek, Bozena, Gdansk University of Technology, Poland
- Morzy, Mikolaj, Poznan University of Technology, Poland
- Paik, Hye-Young Helen, University of New South Wales, Australia
- Ramakrishnan, Naren, Virginia Tech, USA
- Rybinski, Henryk, Warsaw University of Technology, Poland
- Skowron, Andrzej, University of Warsaw, Poland
- Wu, Xintao, University of Arkansas, USA
- Zighed, Djamel, Université Lumière Lyon 2, France
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Submission process
Journal news
Prof. I-Hsien Ting appointed as new Editor in Chief of International Journal of Social Network Mining
20 February, 2026
Prof. I-Hsien Ting from the National University of Kaohsiung in Taiwan, ROC has been appointed to take over editorship of the International Journal of Social Network Mining.
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