Skip to main content

Social Network Analysis and Mining

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. This special issue includes extended and revised versions of a set of selected papers from BraSNAM 2016 (the fifth Brazilian Workshop on Social Network Analysis and Mining), held together with the 36th 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.

Edited by: Jonice de Oliveira Sampaio and Giseli Rabello Lopes

  1. Who are the most effective lawyers in the Labor Court of Rio de Janeiro? Using data from tens of thousands of legal cases, we construct a network of lawyers (directed and weighted) in order to answer this and ...

    Authors: Leonardo Filipe Rodrigues Ribeiro and Daniel Ratton Figueiredo
    Citation: Journal of the Brazilian Computer Society 2017 23:6
  2. This article defines, implements, and evaluates techniques to automatically compare and recommend conferences. The techniques for comparing conferences use familiar similarity measures and a new measure based ...

    Authors: Grettel Monteagudo García, Bernardo Pereira Nunes, Giseli Rabello Lopes, Marco Antonio Casanova and Luiz André P. Paes Leme
    Citation: Journal of the Brazilian Computer Society 2017 23:4