[DBWorld] Call for Papers

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Call For
Papers

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CSoNet 2021 provides a premier interdisciplinary forum to bring together
researchers and practitioners from all fields of big data and social networks,
such as billion-scale network computing, social network/media analysis, mining,
security and privacy, and deep learning and applications. CSoNet
2021 seeks to address emerging yet important computational problems, with a
focus on the fundamental background, theoretical developments, and real-world
applications associated with big data network analysis, modelling, and deep
learning and understanding. The conference solicits theoretical,
methodological, empirical, and experimental research reporting original and
unpublished results on computational big data and social networks. Topics of
interest include, but are not limited to:

●
Real-world Complex Networks
Analysis

●
Trends and Pattern Analysis in
Social Networks

●
Representation Learning on
Networks

●
Big Data Analysis

●
Mathematical Modeling and Analysis
of Real-world Social Platforms

●
Network Structure Analysis and Dynamics
Optimization

●
Data Network Design and
Architecture

●
Information Diffusion Models and
Techniques

●
Security and Privacy in Data
Networks and Analysis

●
Efficient Algorithms for
Large-scale Data Networks Computing

●
Reputation and Trust in Social
Media

●
Social Influence, Recommendation,
and Media

●
Applications of Complex Data
Network Analysis

●
Energy Efficiency in Mobile Data
Networks

●
Natural Language Understanding and
Applications for Social Media

●
E-commerce and Social Media
Marketing

●
Deep Learning on Graphs and its
Applications

●
Stock Market Prediction and Stock
Recommendation with Social Media Data

●
Anomaly Detection, Security, and
Privacy in Big Data Networks

●
Analysis of Signed and Attributed
Real-world Networks

●
Multidimensional Graph Analysis

●
Algorithmic Fairness in Social
Network Analysis and Graph Mining.

●
Socially-relevant Analytics from Social Media Contents (e.g., Bias, Toxicity, etc.)

Accepted papers will be published in
Springer’s Lecture Notes in Computer Science, and indexed by ISI (CPCI-S,
included in ISI Web of Science), EI Engineering Index (Compendex
and Inspec databases), ACM Digital Library, DBLP,
Google Scholar, MathSciNet, etc. Also, extended
versions of selected best papers will be invited for publication in the Journal
of Combinatorial Optimization, IEEE Transactions on Network Science and
Engineering, and Computational Social Networks.

Authors who are interested in the above
topics can submit their unpublished work to CSoNet
2021. A clear indication of the motivation and comparison with prior related
work should be presented. Simultaneous submission to a journal or another
conference with refereed proceedings is not allowed.

Submissions must adhere to the following
guidelines:

●
Papers must be formatted using the
LNCS format (ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip )
without altering margins or the font point.

●
The maximum length of a regular
paper (including references) is 12 pages; 2 pages for an extended abstract.

●
Proofs omitted due to space
constraints must be placed in an appendix to be read by the program committee
members at their discretion.

Submission link: https://easychair.org/conferences/?conf=csonet2021 https://easychair.org/conferences/?conf=csonet2021

Organizing
Committee

General
Chairs

Long Le, University of Quebec

Jun Pei, Hefei University of Technology

Program
Chairs

Ruoming Jin, Kent State University

David Mohaisen,
University of Central Florida

Important
Dates:

Abstract Submission                         June
6, 2021

Paper Submission                            June
20, 2021

Acceptance Notification                    September
10, 2021

Camera Ready & Registration         September
24, 2021

Conference Dates                             November 15-17, 2021

Conference
Mode of Operation:

The conference is planned as an in-person
conference, allowing those who cannot be present in person to attend and
present virtually. Depending on the development of COVID-19 and the
vaccination, the mode of the conference will be revised accordingly.

More Information about the conference and the
organizers is available at http://optnetsci.cise.ufl.edu/CSoNet/

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