New Journal: Social Network Analysis and Mining (by Springer)

From: <tanseletu_at_gmail.com>
Date: Sat, 7 Aug 2010 07:57:50 -0700 (PDT)
Message-ID: <c0456d51-86a1-4c51-8ddf-c064e5d9321c_at_z10g2000yqb.googlegroups.com>



Social Network Analysis and Mining (by Springer)

http://www.springer.com/springerwiennewyork/computer+science/journal/13278 Aim and Scope:

        SNAM include: (1) data mining advances on the discovery and analysis of communities, personalization for solitary activities (like search) and social activities (like discovery of potential friends), the analysis of user behavior in open forums (like conventional sites, blogs and forums) and in commercial platforms (like e-auctions), and the associated security and privacy-preservation challenges; (2) social network modeling, construction of scalable, customizable social network infrastructure, identification and discovery of dynamics, growth, and evolution patterns using machine learning approaches or multi-agent based simulation. Papers should elaborate on data mining or related methods, issues associated to data preparation and pattern interpretation, both for conventional data (usage logs, query logs, document collections) and for multimedia data (pictures and their annotations, multi-channel usage data).

	Topics include but are not limited to:
	Web community
	Personalization for search and for social interaction
	Recommendations for product purchase
	information acquisition and establishment of social relations
	Recommendation networks
	Data protection inside communities
	Misbehaviour detection in communities
	Preparing data for web mining
	Pattern presentation for end-users and experts
	Evolution of communities in the Web
	Community discovery in large-scale social networks
	Dynamics and evolution patterns of social networks, trend prediction
	Contextual social network analysis
	Temporal analysis on social networks topologies
	Search algorithms on social networks
	Multi-agent based social network modeling and analysis
	Large-scale graph algorithms
	Applications of social network analysis
	Anomaly detection in social network evolution



· Manuscript Submission

        Instruction for Authors:

        Submission of a manuscript implies: that the work described has not been published before; that it is not under consideration for publication anywhere else; that its publication has been approved by all co-authors, if any, as well as by the responsible authorities – tacitly or explicitly – at the institute where the work has been carried out. The publisher will not be held legally responsible should there be any claims for compensation.

Editors-in-Chief:

	Nasrullah Memon
	The Maersk Mc-Kinney Moller Institute
	University of Southern Denmark
	Campusvej 55
	5230 Odense M
	Denmark

	Reda Alhajj
	Dept of Computer Science
	University of Calgary
	Calgary , Alberta T2N 1N4
	Canada

Associate Editors:

	Xingquan (Hill) Zhu
	Centre for Quantum Computation and Intelligent Systems
	University of Technology Sydney
	Australia

	Mohammed Zaki
	Dept. of Computer Science
	Rensselaer Polytechnic Institute
	USA


	Jennifer Xu
	Dept. of Computer Information Systems
	Bentley University
	USA

	Fatos Xhafa
	Dept. of Languages & Informatics Systems
	Universitat Politècnica de Catalunya
	Spain

	Xindong Wu
	Dept. of Computer Science
	University of Vermont
	USA

	Alvin Wolfe
	Dept. of Anthropology
	University of South Florida
	USA

	Uffe Kock Wiil
	The Maersk-McKinney Moller Institute
	University of Southern Denmark
	Denmark

	Joseph M. Whitmeyer
	Dept. of Sociology
	University of North Carolina at Charlotte
	USA

	Barry Wellman
	NETLAB
	Dept. of Sociology
	University of Toronto
	Canada

	Junzo Watada
	Graduate School of Information, Production & Systems
	Waseda University
	Japan

	I-HsienTing
	Dept. of Information Management
	National University of Kaohsiung
	Taiwan

	Ilan Talmud
	Dept. of Sociology and Anthropology
	University of Haifa
	Israel

	William B. Stevenson
	Organisation Studies Dept.
	Boston College
	USA

	Jaideep Srivastava
	University of Minnesota
	USA

	John Scott
	Social Sciences and Business
	University of Plymouth
	UK

	Gerald Schaefer
	Department of Computer Science
	Loughborough University
	UK

	Jon Rokne
	Dept. of Computer Science
	University of Calgary
	Canada

	Christopher J  Rhodes
	Institute for Mathematical Sciences
	Imperial College
	UK

	James F. Peters
	Electrical and Computer Engineering
	University of Manitoba
	Canada

	Philippa Pattison
	Psychological Sciences
	University of Melbourne
	Australia

	Tansel Özyer
	Dept. of Computer Engineering
	TOBB University of Economics and Technology
	Turkey

	Yutaka Matsuo
	Dept. for Technology Management
	University of Tokyo
	Japan

	Zongmin Ma
	College of Information Science and Engineering
	Northeastern University
	China

	Shou-De Lin
	Dept. of Computer Science and Information Engineering
	National Taiwan University
	Taiwan

	Ee-Peng Lim
	School of Information Systems
	Singapore Management University
	Singapore

	Juergen Lerner
	Fachbereich Informatik und
	Informationswissenschaft
	University of Konstanz
	Germany

	Kim Skak Larsen
	Department of Mathematics and Computer Science
	University of Southern Denmark, Odense
	Denmark

	David Knoke
	Department of Sociology
	University of Minnesota, Minneapolis
	USA

	Ralf Klamma
	Informatik 5
	RWTH Aachen University, Aachen
	Germany

	Taghi M. Khoshgoftaar
	Dept. of Computer and Electrical Engineering and Computer Science
	Florida Atlantic University, Boca Raton
	USA

	Siddharth Kaza
	Department of Computer and Information Sciences
	Towson University, Towson
	USA

	George Karypis
	Department of Computer Science and Engineering
	University of Minnesota, Minneapolis
	USA

	Panagiotis Karampelas
	Information Technology
	Hellenic American University, Athens
	Greece

	Robert Hanneman
	Department of Sociology
	University of California, Riverside
	USA

	Uwe Glaesser
	School of Computing Science
	Simon Fraser University, British Columbia
	Canada

	Mark Goldberg
	Computer Science Department
	Rensselaer Polytechnic Institute, Troy, New York
	USA

	Linton C. Freeman
	Department of Sociology and Institute for Mathematical Behavioral
Sciences
	School of Social Sciences
	University of California, Irvine
	USA

	Artur Dubrawski
	Robotics Institute
	Carnegie Mellon University, Pittsburgh
	USA

	Sumeet Dua
	Department of Computer Science
	Louisiana Tech University, Ruston
	USA

	Ying Ding
	School of Library and Information Science
	Indiana University, Bloomington
	USA

	William Cohen
	Machine Learning Department
	School of Computer Science
	Carnegie Mellon University, Pittsburgh
	USA

	Kathleen M. Carley
	Institute for Software Research
	School of Computer Science
	Carnegie Mellon University, Pittsburgh
	USA

	Peter J. Carrington
	Department of Sociology
	University of Waterloo, Ontario
	Canada

	Dan Braha
	New England Complex Systems Institute
	University of Massachusetts, Dartmouth
	USA

	Vladimir Batagelj
	Fakulteta za matematiko in fiziko
	University of Ljubljana
	Slovenia

	George Barnett
	Communication
	University of California at Davis
	USA

	Antonio E. Badia
	Computer Engineering and Computer Science Department
	University of Louisville, Kentucky
	USA

	Ajith Abraham
	Norwegian University of Science and Technology, Trondheim
	Norway
Received on Sat Aug 07 2010 - 09:57:50 CDT

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