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SNMAM 2021 : SNMAM 2021: Social Network and Media Analysis and Mining

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Link: https://simbig.org/SIMBig2021/en/snmam.html
 
When Dec 1, 2021 - Dec 3, 2021
Where Lima, Peru
Submission Deadline Oct 29, 2021
Notification Due Nov 19, 2021
Final Version Due Nov 29, 2021
Categories    social networks analysis   social media mining   complex networks   machine learning
 

Call For Papers

Social network is a structure formed by a set (or groups of sets) of entities (e.g. people, organizations, etc.) with some patterns of social interaction. Social Network Analysis (SNA) is focused on uncovering these patterns through the use of network science and graph theory. In the last decades, online social networks (OSNs) have become the most widely used web platforms due to the variety of services they offer to their users. This explosion has led to the diversification of both content (text, images, audio and other) and the sources (e.g. newscasts, newspapers and other companies) in OSNs. The need for processing and analyzing this content as well as understanding its impact on users' lives, has allowed for the rapid development of various techniques for mining and analysis of social media data.

In this context, the Social Network and Media Analysis and Mining (SNMAM) provides a forum that brings both researchers and practitioners to discuss research trends and techniques related to the analysis and mining of social network and media data. The 6th SNMAM event will be organized as a track of SIMBig 2021 in Lima, Peru, as an interdisciplinary venue for computer scientists, computer engineers, software engineers and application developers who work on networks and web-based methods.

Scope and Topics
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SNMAM includes all the topics related to social network and media analysis and mining. The topics suitable for SNMAM include, but not limited to:

1 - Crowdsourcing of social network and media data generation and collection
2 - Data preparation and data modeling for social networks and social media
3 - Exploratory and visual data analysis of social network and media data
4 - Identification and discovery of dynamics and evolution patterns of social network and media data based on data mining and machine learning approaches
5 - Topological and spatio-temporal aspects in social networks and social media
6 - Large-scale graph, search and time series algorithms on social networks
7 - Social network analysis and mining tasks:
- Anomaly and outlier detection
- Community discovery
- Link and node classification
- Link and node prediction
- Entity resolution
- (Social) Graph construction
8 - Data mining applications on social network and media data:
- Recommender systems
- Opinion and suggestion mining
- Sentiment analysis
- Misbehavior detection
- Activity prediction
- Event detection
- (Epidemic) Spreading
9 - Applications of social network and media in business, engineering, scientific, medical and public health domains, terrorism and/or criminology, fraud detection, politics, cyberbullying, and case studies
- Special case study: social behavior analysis due to COVID-19
10 - Analysis and mining of location-based social networks, urban (social) networks, multilayer social networks and others
11 - Social media monitoring and analysis
12 - Ethics, privacy and security in online social networks and social media platforms
13 - Tools and infrastructures for social networking platforms and web communities
14 - New applications and services arising from big data, social network analysis and social media.

Paper Submission Guidelines
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Long Papers are limited to a total of 13-16 pages, including all content and references. Short Papers are limited to a total of 7-12 pages, including all content and references. Submissions must be in PDF, formatted with the Springer Publications format. For details, please review the LaTex2e (preferred) and Word macro instruction files. All research submissions must be in English.

Please, note that SNAMAM submission is double-blind. This means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity, i.e. without any author names and affiliations in the text or on the title page as well as self-identifying citations and references in the article text should either be avoided or left blank.

Easychair Submissions website
-----------------------------

Papers for SNMAM 2021 must be submitted online through EasyChair: https://easychair.org/conferences/?conf=snmam2021

Full papers will be reviewed and assessed by the SNMAM Program Committee. Accepted papers will be part of the proceedings of SIMBig 2021, which will be published with Springer CCIS Series. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with a full registration.

Important Dates
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October 01, 2021: Paper submission deadline
November 01, 2021: Author notification
November 23, 2021: Camera-ready
December 01-03, 2021: SIMBig- SNMAM 2021 (online conference)

Program Committee
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Alexandre Donizeti, Federal University of ABC, Brazil
Alexandre Luis Magalhães Levada, Federal University of São Carlos (UFSCar), Brazil
Ankur Singh Bist, Signy Advanced Technology, India
Aurea Soriano Vargas, University of Campinas, Brazil
Brett Drury, LIAAD-INESC-TEC, Portugal
Célia Ghedini Ralha, University of Brasília (UnB), Brazil
Cesar Henrique Comin, Federal University of São Carlos (UFSCar), Brazil
Daniela Godoy, UNICEN University, Argentina
Dibio Leandro Borges, University of Brasília (UnB), Brazil
Diego Furtado Silva, Federal University of São Carlos (UFSCar), Brazil
Geraldo Pereira Rocha Filho, University of Brasília (UnB), Brazil
Guilherme Novaes Ramos, University of Brasília (UnB), Brazil
Heloísa de Arruda Camargo, Federal University of São Carlos (UFSCar), Brazil
José Reinaldo da Cunha Santos Aroso Vieira da Silva Neto, University of Brasília (UnB), Brazil
Jorge Poco, Fundação Getulio Vargas, Brazil
Luca Rossi, Queen Mary University of London, UK
Maria Da Conceição Rocha, INESC/CPES, Portugal
Mathieu Roche, Cirad-TETIS, France
Newton Spolaôr, State University of Western Paraná, Brazil
Pascal Poncelet, University of Montpellier, France
Paulo Eduardo Althoff, University of Brasília (UnB), Brazil
Pedro Nelson Shiguihara Juárez, Universidad San Ignacio de Loyola, Peru
Rafael Delalibera Rodrigues, University of São Paulo (USP), Brazil
Rafael Giusti, Federal University of Amazonas, Brazil
Rafael Santos, National Institute for Space Research (INPE), Brazil
Ronaldo Prati, Federal University of ABC, Brazil
Tiago Colliri, University of São Paulo (USP), Brazil
Victor Stroele, Federal University of Juiz de Fora, Brazil
Vinicius Ruela Pereira Borges, University of Brasília (UnB), Brazil
Willy Ugarte, University of Applied Sciences (UPC), Peru

Venue
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Online conference

Contact
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All questions about submissions should be emailed to:

Jorge Valverde-Rebaza, Visibilia, Brazil (jvalverr@visibilia.net.br)
Alan Demétrius Baria Valejo, Federal University of São Carlos (UFSCar), Brazil (alanvalejo@ufscar.br)
Thiago de Paulo Faleiros, University of Brasília (UnB), Brazil (thiagodepaulo@unb.br)

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