CSoNet 2020 : 9th International Conference on Computational Data and Social Networks

  in Conferences   Posted on August 4, 2020

Conference Information

Submission Deadline Monday 14 Sep 2020 Proceedings indexed by :
Conference Dates Dec 11, 2020 - Dec 13, 2020
Conference Address Online, Online
Conference & Submission Link http://optnetsci.cise.ufl.edu/CSoNet/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

**IMPORTANT** Under extenuating circumstances due to Covid-19, CSoNet 2020 will be fully virtual.

CSoNet 2020 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. CSoNet 2020 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, modelling, and deep learning. The conference solicits theoretical, methodological, empirical, and experimental research reporting original and unpublished results on computational big data and social networks.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

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 for Social Media

E-commerce and Social Media Marketing

Deep Learning on Graphs and its Application

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.

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, IEEE Transactions on Network Science and Engineering, and Computational Social Networks.

Submission link: https://easychair.org/conferences/?conf=csonet2020

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