{"id":2,"date":"2020-06-10T04:48:40","date_gmt":"2020-06-10T04:48:40","guid":{"rendered":"http:\/\/10.227.162.238\/CSoNet\/?page_id=2"},"modified":"2022-12-15T05:28:31","modified_gmt":"2022-12-15T05:28:31","slug":"sample-page","status":"publish","type":"page","link":"http:\/\/localhost\/CSoNet\/","title":{"rendered":"Welcome to CSoNet 2022!"},"content":{"rendered":"\n
The<\/strong> 11th International Conference on Computational Data and Social Networks <\/strong><\/p>\n\n\n\n CSoNet 2022 proceedings: https:\/\/link.springer.com\/book\/10.1007%2F978-3-030-91434-9<\/a><\/p>\n\n\n\n **IMPORTANT**<\/em><\/strong> As a result of extenuating circumstances due to Covid-19, CSoNet 2022 will be fully virtual.<\/em><\/p>\n\n\n\n CSoNet 2022 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 2022 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 The conference solicits theoretical, methodological, empirical, and experimental research reporting original and unpublished results on computational big data and social networks.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:<\/p>\n\n\n\n Accepted papers will be published in Springer\u2019s 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.<\/p>\n\n\n\n Authors who are interested in the above topics can submit their unpublished work to CSoNet 2022. 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.<\/p>\n\n\n\n Submissions must<\/strong> adhere to the following guidelines:<\/p>\n\n\n\n