The 13th International Conference on Computational Data and Social Networks
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 The conference solicits theoretical, methodological, empirical, and experimental research reporting original and unpublished results on computational big data networks. The conference will be organized at Thammasat University in Bangkok Metropolitan Region (Pathum Thani), Thailand.
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
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 Applied Network Science.
Authors who are interested in the above topics can submit their unpublished work to CSoNet 2024. 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 (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) 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://equinocs.springernature.com/service/csonet2024
Important Dates
| Paper Submission | Acceptance Notification | Camera Ready & Registration | Conference Dates |
|
September 28, 2024 (Hard Deadline) |
November 5, 2024 | November 15, 2024 | December 16-18, 2024 |