The 12th International Conference on Computational Data and Social Networks

Event Dates

Dec 11, 2023 - Dec 13, 2023

Location

Hanoi, Vietnam

Submission Deadline

Sep 05, 2023

The 12th International Conference on Computational Data and Social Networks

December 11-13, 2023 – Hanoi, Vietnam

https://csonet-conf.github.io/csonet23/index.html

CSoNet 2023 provides a premier interdisciplinary forum to bring together researchers and practitioners from all fields of big data networks, such as billion-scale network computing, data network analysis, mining, security and privacy, and deep learning. CSoNet 2023 seeks to address emerging yet important computational problems, with a focus on the fundamental background, theoretical technology development, and real-world applications associated with big data network analysis, modeling, and deep learning. The conference solicits theoretical, methodological, empirical, and experimental research reporting original and unpublished results on computational big data networks. The conference will be organized at the National Economics University in Hanoi, Vietnam.

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 Networks

Network Structure Analysis and Dynamics Optimization

Data Network Design and Architecture

Information Diffusion Models and Techniques

Security and Privacy in Data Networks

Efficient Algorithms for Large-scale Data Networks Computing

Reputation and Trust in Social Media

Social Influence, Recommendation, and Media

Energy Efficiency in Mobile Data Networks

Natural Language Understanding for Network Analysis

E-commerce and Social Media Marketing

Deep Learning on Graphs and its Application

Stock Market Prediction and Stock Recommendation

Anomaly Detection, Security, and Privacy in Big Data Networks

Analysis of signed and attributed real-world networks

Multidimensional graph analysis

Algorithmic fairness in network analysis and graph mining

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 Journal of Combinatorial Optimization and IEEE Transactions on Network Science and Engineering

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.

Important Dates

Paper Submission: September 5, 2023

Acceptance Notification: November 5, 2023

Camera Ready & Registration: November 15, 2023

Conference Dates: December 11-13, 2023