Tuesday, September 10, 2024

[DMANET] CSoNet 2024 - CFP

CSoNet 2024: The 13th International Conference on Computational Data and Social Networks

Website: https://csonet-conf.github.io/csonet24/index.html
Time: Dec 16, 2023 - Dec 18, 2024
Location: Bangkok, Thailand
Paper Submission: September 19, 2024

CSoNet 2024 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 2024 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 The conference solicits theoretical, methodological, empirical, and experimental research reporting original and unpublished results on computational big data networks.

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.

**Topics
Topics of interest include, but are not limited to:

• Real-world Complex Networks Analysis
• 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
• 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
• Multidimensional graph analysis
• Algorithmic fairness in network analysis and graph mining

**Important Dates:
Paper Submission: September 19, 2024
Acceptance Notification: November 5, 2024
Camera Ready & Registration: November 15, 2024
Conference Dates: December 16-18, 2024

**Submission Guidelines
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; 6 pages for a short paper; and 2 pages for an extended abstract.

**Organizations
General Co-chairs
Sabrina Gaito<https://scholar.google.com/citations?user=vUmucpoAAAAJ&hl=en> – University of Milan, Italy
Sanya Mitaim<https://scholar.google.com/citations?user=KhTCPuEAAAAJ&hl=en> – Thammasat University, Thailand

TPC Co-Chairs
Janos Kertesz<https://people.ceu.edu/janos_kertesz> – Central European University
Bo Li<https://www4.comp.polyu.edu.hk/~bo2li/> – The Hong Kong Polytechnic University
Thepchai Supnithi<https://scholar.google.com/citations?user=jnkl-MUAAAAJ&hl=en> – National Electronics and Computer Technology Center, Thailand

Special Track Program Co-Chairs
Phisan Kaewprapha<https://scholar.google.com/citations?user=MQLWEjYAAAAJ&hl=th> – Thammasat University, Thailand
Akkharawoot Takhom<https://scholar.google.com/citations?user=u1OHW6cAAAAJ&hl=en> – Thammasat University, Thailand

Publicity Co-Chairs
Teeradaj Racharak<https://sites.google.com/view/teeradaj> – Japan Advanced Institute of Science and Technology, Japan
Kwanrutai Saclim – Yala Rajabhat University, Thailand

Steering Committee
My T. Thai (Chair) – University of Florida
Kim-Kwang Raymond Choo – University of Texas at San Antonio
Zhi-Li Zhang – University of Minnesota
Weili Wu – University of Texas, Dallas


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