CfP: 9th Intl. Conf. on Computational Data and Social Networks (CSoNet 2020)

#1309339: CfP: 9th Intl. Conf. on Computational Data and Social Networks (CSoNet 2020)

Description:	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 The conference solicits theoretical, methodological, empirical, and experimental research reporting original and unpublished results on computational big data and social networks.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.
More info:	http://optnetsci.cise.ufl.edu/CSoNet/

Description:

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.

More info:

http://optnetsci.cise.ufl.edu/CSoNet/

Date added	March 23, 2020, 1:42 p.m.
Source	ufl
Subjects	Conferences and Seminars North America
Venue	Dallas, Texas, Dec. 11, 2020, midnight - Dec. 13, 2020, midnight
Country	USA