IX Brazilian Workshop on Social Network Analysis and Mining


This year, the IX Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2020) 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 40th edition, the conference will be held in the city of Cuiaba, Mato Grosso, Brazil.
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 2020 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: 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 and propagation
  • 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
  • Social networks, health, and well-being
  • Analysis of covert networks and Dark Web
  • Economics in networks
  • Location-aware social networks and mobility
  • Ethical issues in data analysis
  • Social network analysis applied to Cognitive Computing
  • 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) **


Abstract Submission: March 09, 2020 March 31, 2020
Apr 30, 2020
Full and Short Paper Submission: March 16, 2020 March 31, 2020 Apr 30, 2020
Notification: Apr 30, 2020 May 31, 2020 June 10, 2020
Authors registration:May 15, 2020 June 19, 2020 June 30, 2020
Final Version: May 15, 2020 June 19, 2020 June 30, 2020


The workshop accepts submissions of technical papers (full papers) and extended abstracts (position papers), including tools/applications (demo tools) or datasets description, written in Portuguese or English, not exceeding 12 or 6 pages, respectively. The submissions must follow the Code of Conduct for publications of Brazilian Computing Society (SBC). 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 the 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 papers will be presented orally.
In case of dataset papers, the authors must have to follow the “dataset Paper Format”: Dataset paper submissions must comprise two parts: a dataset or group of datasets, and metadata describing the content, quality, structure, potential uses of the dataset(s), and methods employed for data collection. Descriptive statistics may be included in the metadata (more sophisticated analyses should be part of technical paper submission). Authors are encouraged to include a description of how they intend to make their datasets FAIR. Datasets and metadata must be published using a dataset sharing service (e.g. Zenodo, datorium, dataverse, or any other dataset sharing services that indexes your dataset and metadata and increases the re-findability of the data) that provides a DOI for the dataset, which should be included in the dataset paper submission. ONLY Dataset paper review will be single-blind, and all datasets have to be identified and uploaded at the time of submission. Please, be careful with private or confidential information/data. The authors will be responsible for any sensitive information in the datasets.
***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. ONLY Dataset paper review will be single-blind, and all datasets have to be identified and uploaded at the time of submission. ***
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 (to be announced soon). Each manuscript must be submitted electronically, as a PDF file, via the JEMS submission site (https://jems.sbc.org.br/home.cgi?c=3484).


At least one author registration is mandatory for paper inclusion in the proceedings. Authors with more than one approved paper at any CSBC workshop/event may pay a single registration, plus an “extra publication fee” per additional article. The value of this “extra publication fee” is under discussion with the CSBC organizers.
Full papers will be presented in the oral sessions of BraSNAM 2020. The accepted short papers, tools/applications, and dataset will also be published in workshop’s proceedings and will be presented as posters. There will be a session for tool demonstration.
The BraSNAM workshop reserves the right to not include in the proceedings those papers that, during the workshop, are not presented by one of its authors or by a designated presenter.

Accepted papers will be published in the BraSNAM proceedings at SBC Open Lib, SBC’s content portal, in the Brazilian Workshop on Social Network Analysis and Mining (BraSNAM) series, ISSN 2595-6094. All papers will be indexed with DOI.


  • Davi Viana (UFMA) – davi.viana@lsdi.ufma.br
  • Marcos Arrais (PUC Minas) – arrais@pucminas.br
  • Jivago Medeiros (UFMT) – jivago@ic.ufmt.br


  • Daniel Figueiredo (UFRJ)
  • Fabrício Benevenuto (UFMG)
  • Giseli Rabello Lopes (UFRJ)
  • Jano Moreira de Souza (UFRJ)
  • Jonice Oliveira (UFRJ)
  • Juliana Valério (UFRJ)
  • Li Weigang (UnB)
  • Luciano Digiampietri (USP)
  • Mirella Moro (UFMG)
  • Raimundo Moura (UFPI)
  • Renata Galante (UFRGS)
  • Roberto Imbuzeiro Oliveira (IMPA)
  • Rodrigo Pereira dos Santos (UNIRIO)


  • Adriano Pereira (UFMG)
  • Alex Barradas Filho (UFMA)
  • Altigran Soares da Silva (UFAM)
  • Ana Paula Couto da Silva (UFMG)
  • Artur Ziviani (LNCC)
  • Awdren Fontão (UFMS)
  • Balaji Venkatachalam (Google)
  • Bernardo Estácio (Farfetch)
  • Bernardo Pereira Nunes (Australian National University)
  • Bruno Souza (UFMA)
  • Claudia Cappelli (UFRJ)
  • Claudio de Farias (UFRJ)
  • Daniel Figueiredo (UFRJ)
  • Daniel Lichtnow (UFSM)
  • Daniel Menasché (UFRJ)
  • Eduardo Borges (FURG)
  • Eduardo Hargreaves (Petrobras)
  • Eduardo Nakamura (UFAM)
  • Elisa Hatsue Moriya Huzita (UEM)
  • Elizeu Santos-Neto (Google)
  • Emanuel Coutinho (UFC)
  • Eric Araújo (UFLA)
  • Fabíola Guerra Nakamura (UFAM)
  • Fabiola Souza Fernandes Pereira (USP)
  • Fabricio Benevenuto (UFMG)
  • Flavio Horita (UFABC)
  • George Valença (UFRPE)
  • Geraldo Braz Junior (UFMA)
  • Giseli Lopes (UFRJ)
  • Gislaine Camila Leal (UEM)
  • Gustavo Paiva Guedes (CEFET-RJ)
  • Heitor Costa (UFLA)
  • Hernane Pereira (SENAI CIMATEC)
  • Humberto Marques (PUC Minas)
  • Igor Wiese (UTFPR)
  • Isabela Gasparini (UDESC)
  • Ivaldir Junior (UPE)
  • Jairo Souza (UFJF)
  • Jefferson Elbert Simões (UNIRIO)
  • Jonice Oliveira (UFRJ)
  • José David (UFJF)
  • José Jorge L. Dias Jr. (UFPB)
  • Josiane Kroll (Universidade de Manitoba )
  • Juliana Valério (UFRJ)
  • Jussara Almeida (UFMG)
  • Lívia Ruback (UFRJ)
  • Leandro Wives (UFRS)
  • Leila Weitzel (UFF)
  • Li Weigang (UnB)
  • Luciana Romani (Embrapa Informatica Agropecuaria)
  • Luciano Coutinho (UFMA)
  • Luciano Digiampietri (USP)
  • Luiz André Paes Leme (UFF)
  • Marco Antonio Casanova (PUC-Rio)
  • Maria Luiza Campos (UFRJ)
  • Michele Brandão (IFMG)
  • Mirella Moro (UFMG)
  • Nazareno Andrade (UFCG)
  • Paulo Sérgio Santos (UNIRIO)
  • Pedro Olmo Vaz de Melo (UFMG)
  • Rainer de Amorim (UFAM)
  • Rebeca Schroeder (UDESC)
  • Renata Galante (UFRS)
  • Rodrigo Santos (UNIRIO)
  • Sean Siqueira (UNIRIO)
  • Sergio Manuel Serra da Cruz (UFRRJ)
  • Thiago Pardo (USP)
  • Tiago de Melo (UEA)
  • Tiago França (UFRRJ)
  • Valdemar Vicente Graciano Neto (UFG)
  • Victor Stroele (UFJF)
  • Vinicius Machado (UFPI)
  • Wladmir Brandão (PUC Minas)