 International Journal of Social Network Mining (IJSNM)
ISSN (Online): 1757-8493 - ISSN (Print): 1757-8485
Click to download IJSNM leaflet Abstracting/Indexing Services and Journal Lists
In recent years, social network research has advanced significantly with the rapid development of online social websites and instant messaging systems. People increasingly perceive the Web as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution.
IJSNM addresses important aspects of interest to practitioners and researchers with a specific focus on the emerging trends and industry needs associated with using data mining techniques for social networking analysis. The journal solicits experimental and theoretical work on social network analysis using data mining techniques, including:
- data mining advances in:
- the analysis of social networks structures
- the discovery and analysis of communities
- personalisation for solitary activities (such as search) and social activities (such as discovery of potential friends)
- the analysis of user behaviour in open forums (such as conventional sites, blogs and forums) and
- commercial platforms (such as e-auctions) and on the associated security and privacy-preservation challenges
- social network modelling
- scalable, customisable social network infrastructure construction
- dynamic growth and evolution, and
- pattern identification and discovery using machine learning approaches or multi-agent based simulation
Papers should elaborate on data mining or related methods, and issues associated to data preparation and pattern interpretation, both for conventional data (usage logs, query logs, document collections) and for multimedia data (automatic indexing of images, video, and sound).
 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. Subject Coverage
The topics to be covered by IJSNM include but are not limited to:
- Discovery of influential members in social networks
- Discovery of implicit relationships in social networks
- Discovering implicit social graphs
- Detecting misbehaviour in web communities
- Detecting popular emerging events in social communities
- Compressing large social networks for analysis
- Mining social interactions for viral marketing
- Data preparation and pre-processing for mining of large social networks
- Detecting drift and evolution in web communities
- Community discovery in social networks
- Trend prediction in evolving social networks
- Discovering temporal patterns in social networks
- Mining stream data in evolving social networks
- Contextual social network analysis
- High performing algorithms for social network mining
- Graph search algorithms on social networks
- Multi-agent based social network modelling and analysis
- Data mining for security in social networks
- Data mining in mobile social networks
- Real-time mining of social networks
- Data mining for malware analysis in social networks
- Data mining and in semantic web platforms for the social web
- Mining semantic web data from social software applications
- Scalability in mining social networks
- Data mining and knowledge discovery in natural languages for social networks
- Social recommender systems
- Personalization for search and social interaction
- Applications of social network analysis
Specific Notes for Authors
Submitted papers should not have been previously published nor be currently
under consideration for publication elsewhere.
All papers are refereed through a double blind process. A guide for authors,
sample copies and other relevant information for submitting papers are
available on the Author Guidelines
web-page.
To submit a paper, please go to Submissions of Papers
All papers must be submitted online. If you experience any problems submitting your paper online, please contact submissions@inderscience.com,
describing the exact problem you experience. Please include in your email the title of the Journal.
Editors and Members of the Editorial Board
Editor(s) in Chief Marenglen Biba
Head of Department
University of New York, Tirana
Computer Science Department
Rr. Komuna e Parisit
Tirana
ALBANIA
marenglenbiba unyt.edu.al
Zbigniew W. Ras
University of North Carolina at Charlotte
College of Computing and Informatics
Charlotte, N.C. 28223
USA
rasuncc.edu
Regional Editor Asia and Far East Jiming Liu
Hong Kong Baptist University
HONG KONG Regional Editor Europe Donato Malerba
Università degli Studi di Bari
ITALY Regional Editor USA Diane J. Cook
Washington State University
USA Editorial Board Members Aijun AnAi
York University
CANADA Bettina BerendtBe
Katholieke Universiteit Leuven
BELGIUM Francois BryFr
Ludwig-Maximilians-Universität München
GERMANY Longbing CaoLo
University of Technology, Sydney
AUSTRALIA Barbara CarminatiBa
University of Insubria
ITALY Michelangelo CeciMi
Università degli Studi di Bari
ITALY Gao CongGa
Nanyang Technological University
SINGAPORE Bruno CremilleuxBr
Université de Caen
FRANCE Alfredo CuzzocreaAl
University of Calabria
ITALY J. Stephen DownieJ.
University of Illinois at Urbana-Champaign
USA Tapio ElomaaTa
Tampere University of Technology
FINLAND Floriana EspositoFl
Università degli Studi di Bari
ITALY Thomas N. FriemelTh
University of Zurich – IPMZ
SWITZERLAND Fabrice GuilletFa
Nantes University
FRANCE Hakim HacidHa
Alcatel-Lucent Bell Labs Villarceaux
FRANCE Mirsad HadzikadicMi
University of North Carolina at Charlotte
USA Howard J. HamiltonHo
University of Regina
CANADA Perfecto HerreraPe
Universitat Pompeu Fabra
SPAIN Larry HolderLa
Washington State University
USA Nathalie JapkowiczNa
University of Ottawa
CANADA Jason J. JungJa
Yeungnam University
KOREA, REPUBLIC OF Rushed KanawatiRu
University of Paris Nord
FRANCE Bozena KostekBo
Gdansk University of Technology
POLAND Shou-De LinSh
National Taiwan University
TAIWAN Yutaka MatsuoYu
University of Tokyo
JAPAN Stan MatwinSt
University of Ottawa
CANADA Mikolaj MorzyMi
Poznan University of Technology
POLAND Christopher NugentCh
University of Ulster
UK Hye-Young Helen PaikHy
University of New South Wales
AUSTRALIA Jean-Marc PetitJe
University of Lyon
FRANCE Gregory Piatetsky-ShapiroGr
KDnuggets
USA Naren RamakrishnanNa
Virginia Tech
USA Henryk RybinskiHe
Warsaw University of Technology
POLAND Maytham SafarMa
Kuwait University
KUWAIT Andrzej SkowronAn
University of Warsaw
POLAND I-Hsien TingI-
National University of Kaohsiung
TAIWAN Shusaku TsumotoSh
Shimane University
JAPAN Xintao WuXi
University of North Carolina at Charlotte
USA Fatos XhafaFa
Technical University of Catalonia
SPAIN Kun YangKu
University of Essex
UK Zhenglu YangZh
University of Tokyo
JAPAN Zhiwen YuZh
Northwestern Polytechnical University
CHINA Ning ZhongNi
Maebashi Institute of Technology
JAPAN Xiaofang ZhouXi
University of Queensland
AUSTRALIA Djamel ZighedDj
Université Lumière Lyon 2
FRANCE
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