Track on Social Network and Media Analysis and Mining (SNMAM)

Online social networks are web platforms that provide a variety of services. Users may: share locations and community activities, post and tag photos and other media content, as well as contact individuals with similar interests. The rapid growth of social networks, as well as the rapid increase in social media consumption and production have made the analysis of social media and networks a hot topic amongst academic researchers and industry practitioners alike.

SIMBig has become an important venue that has attracted computer scientists, computer engineers, software engineers, and application developers from around the world. The Social Network and Media Analysis and Mining (SNMAM) track of SIMBig will provide a forum that brings both researchers and practitioners to discuss: research trends and techniques related to social networks and media.

Topics of Interest

We plan to include all the important topics related to social network and media analysis and mining within SNMAM. The topics suitable for SNMAM include, but not limited to:

• Data modeling for social networks and social media
• Dynamics and evolution of social networks
• Topological, geographical and temporal analysis of social networks
• Privacy and security in social networks
• Pattern analysis in social networks
• Community structure analysis in social networks
• Link prediction and recommendation systems
• Propagation and diffusion of information in social networks
• Detection of spam, misinformation and malicious activities in social networks
• Location-based social networks
• Modeling of user behavior and interaction in social networks
• Information retrieval in social network and media services
• Business and political impact in social network and media analysis
• Big data issues in social network and media analysis
• Monitoring social networks and media
• Analysis of the relationship between social media and traditional media
• Exploratory and visual data mining of social network and media data

Important Dates

08 July 2016    20 June 2016	Papers due
28 July 2016   15 July 2016	Acceptance notifications
14 August 2016   25 July 2016	Final Paper Submission
30 July 2016	Early bird registration deadline
1 - 3 September 2016	Conference held in Cusco, Peru

Submission Guidelines

Authors are invited to submit original and unpublished papers of research and applications for this track. Full papers should be between 5 to 10 pages (including references and figures). Papers should be written in English and submissions must be in PDF format following the instructions in Latex templates (ACL templates) available here:

Latex template

acl2016.zip

All the submissions will be refereed by experts in the field based on originality, significance, relevance, quality and clarity. Every submitted paper will be reviewed by at least three members of the Program Committee.

Registration

Paper registration is required, allowing the inclusion of the paper in the conference proceedings. At least one author of each accepted paper MUST present the paper.

Paper registration and submissions to SNMAM will be handled using the EasyChair system. The address to paper registration is here.

Track Chairs

Jorge Carlos Valverde Rebaza

PhD candidate in Computer Science
Department of Computer Science, ICMC
University of São Paulo,
Email contact: jvalverr at icmc dot usp dot br

Alneu de Andrade Lopes

PhD in Computer Science
Department of Computer Science, ICMC
University of São Paulo
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Program Committe

• Brett Drury, University of São Paulo, Brazil
• César Guevara M., Complutense University of Madrid, Spain
• Didier Vega-Oliveros, University of São Paulo, Brazil
• José Benito Camiña, Tecnológico de Monterrey, Mexico
• José Rodriguez Melquiades, National University of Trujillo, Peru
• Lilian Berton, University of São Paulo, Brazil
• Márcia Oliveira, University of Porto, Portugal
• Marcos Domingues, State University of Maringá, Brazil
• Marcos G. Quiles, Federal University of São Paulo, Brazil
• Newton Spolaôr, Western Paraná State University, Brazil
• Nils Murrugarra, University of Pittsburgh, United States of America
• Paola L. Valdivia, University of São Paulo, Brazil
• Rafael Rossi, Federal University of Mato Grosso do Sul, Brazil
• Ricardo Marcacini, Federal University of Mato Grosso do Sul, Brazil
• Sabrine Mallek, Institut Supérieur de Gestion de Tunis, Tunisia
• Thiago de Paulo Faleiros, University of São Paulo, Brazil