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We are writing to invite you to submit an article to "Social Networks
Analysis and Mining Journal," (SNAM) which provides a rapid forum for
the dissemination of original research articles in all areas of social
networks analysis and mining as interdisciplinary research platform.
Manuscripts should be submitted to the journal online at http://www.springer.com/computer/database+management+%26+information+retrieval/journal/13278.
The rapid increase in the interest in social networks has motivated the
need for a more specialized venue with wider spectrum capable of
meeting the needs and expectations of a variety of researchers and
readers. Social Network Analysis and Mining (SNAM) is a
multidisciplinary journal to serve both academia and industry as a main
venue for a wide range of researchers and readers from social sciences,
mathematical sciences, medical and biological sciences and computer
SNAM Journal is proud to have an outstanding group of editors who
widely and rigorously cover the multidisciplinary score of the journal.
They are known to be research leaders in the field of social networks
analysis and mining. Further, SNAM journal is characterized by
providing thorough constructive reviews by experts in the field and by
the reduced turn-around time which allows research results to be
disseminated and shared on timely basis. The target of the editors is
to complete the first round of the refereeing process within about 8
to 10 weeks of submission. Accepted papers go to the online first list
and are immediately made available for access by the research community.
Social Network Analysis and Mining
Published by Springer
Volume 1 / Number 2 / April 2011: http://www.springerlink.com/content/1869-5450/1/2/
Article 1: Spectral counting of triangles via element-wise
sparsification and triangle-based link recommendation: Charalampos
E. Tsourakakis, Petros Drineas, Eirinaios Michelakis, Ioannis Koutis
and Christos Faloutsos
Article 2: Communities and hierarchical structures in dynamic social
networks: analysis and visualization: Frédéric Gilbert, Paolo
Simonetto, Faraz Zaidi, Fabien Jourdan and Romain Bourqui
Article 3: Market basket analysis with networks: Troy Raeder and Nitesh V. Chawla
Article 4: Understanding actor loyalty to event-based groups in
affiliation networks: Hossam Sharara, Lisa Singh, Lise Getoor and
Article 5: Seeing similarity in the face of difference: enabling
comparison of online production systems: Claudia Müller-Birn,
Benedikt Meuthrath, Andreas Erber, Sebastian Burkhart and Anne
Baumgrass, et al.
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