BraSNAM 2012 - Brazilian Workshop on Social Network Analysis and Mining

Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)
https://sites.google.com/site/brasnam/
July 17, 2012 (to be confirmed).
Curitiba, PR, Brazil

It is a pleasure to announce the call for papers to the first Brazilian Workshop on Social Network Analysis and Mining (BraSNAM). The workshop will be held together with the 32nd Congresso da Sociedade Brasileira de Computação (CSBC) which is the official event of the Brazilian Computing Society. The goal of the meeting is to provide a valuable opportunity for multidisciplinary groups to meet and engage in discussions on social network analysis. The conference will be held in Curitiba, PR (Paraná - southern Brazil), on July 16-19, 2012.
The study on social networks has its origins in social, educational and business communities. Academic interest in this field has been growing since the mid 20th century. The recent increase in the number of Web users stimulates the interaction among people, data dissemination and exchange of information, and also increases significantly the available data, provided by people, their interaction, logs and web servers. With big data sets the analysis can be more accurate and brings also the opportunity to evaluate and develop new techniques for social network analysis and data identification and mining. This has raised the interest of a wide range of fields - such as academia, politics, security, business, marketing, science - on social network analysis.
The Brazilian Workshop on Social Network Analysis and Mining (BraSNAM) will bring together researchers and professionals interested on social network analysis and related fields, and will promote collaborations as well as exchanges of ideas and experiences.
More specialized topics within BraSNAM include, but are not limited to:
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
Detection of spam, misinformation and malicious activities
Crowdsourcing and crowdfunding
Cases and application to real life situations: Medicine, Science, Education, Marketing, Team Formation, Decision Making, Management and others.
Important Dates:
Full and Short Paper Submission: April, 15
Notification: June, 03
Final Version: June, 10
Organization:
Universidade Federal do Rio de Janeiro