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V Brazilian Workshop on Social Network Analysis and Mining
De 05 a 06 de Julho de 2016
CALL FOR PAPERS
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V Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2016)
XXXVI Congresso da Sociedade Brasileira de Computação
https://sites.google.com/site/brasnam2016
July 05 and 06, 2016.
Porto Alegre, RS, Brazil
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This year, the V Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2016) will be held in conjunction with CSBC, providing a valuable opportunity for multidisciplinary groups to meet and engage in rich discussions about topics related to social network analysis. CSBC is the official event of the Brazilian Computing Society (SBC) and in its 36th edition, the conference will be held in the city of Porto Alegre, the capital of the State of Rio Grande do Sul.
The study of social networks originated in social, educational and business communities, starting to have a theoretical support in 40€™s. Currently, the increasing use of Web and social medium fosters interaction among people, data dissemination and information sharing. With this growing of available data €“ provided by people and their interaction, as also provided by logs and web servers €“ we have the opportunity of evaluate and develop techniques for social network analysis, identification and mining of social networks. This has led to a rising prominence of social network analyses in academia, politics, security, business, marketing, science and other fields.
The BraSNAM 2016 provides an interdisciplinary venue that will bring together practitioners and researchers from social network analysis and its related fields to promote collaborations and exchange of ideas and practices.
BraSNAM topics of interest include, but are not limited to:
Big Social Data
Social networks visualization
Flow and diffusion of information
Community evolution
Extraction and treatment of social data
Mining techniques
Influence detection
Trust and expertise identification
Linking prediction and simulation
Social information applied to recommender systems
Social information and retrieval systems
Contextualized analysis of social and information networks
Modeling of user behavior
Mobile and smart multimedia sensors
Monitoring social networks
Privacy in social networks
Detection of spam, misinformation and malicious activities
Crowdsourcing and crowdfunding
Social Networks and Software Ecosystems
Cases and application to real life situations: Medicine, Science, Education, Marketing, Team Formation, Decision Making, Management and others.
**Selected papers will be published in special issues of a journal (to be announced soon) **
Important Dates:
Full and Short Paper Submission: March, 21
Notification: May, 30
Final Version: June, 06
Conference: July, 05-06
Submissions instructions:
The workshop accepts submissions of technical papers (full papers) and extended abstracts (position papers) written in Portuguese or English, not exceeding 12 or 6 pages, respectively. Submissions should follow the template of the Brazilian Computing Society (SBC). The templates for submission are available in http://www.sbc.org.br/documentos-da-sbc/summary/169-templates-para-artigos-e-capitulos-de-livros/878-modelosparapublicaodeartigos
All (full and position) papers will be peer-reviewed according to following criteria: adequacy to workshop scope, relevance, technical quality, clarity, originality and evaluation of results. The evaluation of results is desired, but is not a precondition for submission. All technical articles will be presented orally.
Full papers will be presented in the oral sessions of BraSNAM 2016. The accepted short papers will also be published in workshop€™s proceedings and will be presented as posters.
All papers will go through a double blind review process, with at least three reviewers. ****Therefore, author names and contact information must be omitted from all submissions****. Authors must identify the topic(s) being addressed in the paper to assist the program committee in the review process. Selected papers will be published in special issues of a journal.
Each manuscript must be submitted electronically, as a PDF file, via the JEMS submission site.
