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Computational Data and Social Networks
Details
This book constitutes the refereed proceedings of the 11th International Conference on Computational Data and Social Networks, CSoNet 2022, held as a Virtual Event, during December 57, 2022. The 17 full papers and 7 short papers included in this book were carefully reviewed and selected from 47 submissions. They were organized in topical sections as follows: Machine Learning and Prediction, Security and Blockchain, Fact-checking, Fake News, and Hate Speech, Network Analysis, Optimization.
Inhalt
Machine Learning and Prediction.- Incorporating Neighborhood Information and Sentence Embedding Similarity into a Repost Prediction Model in Social Media Networks.- Driving factors of polarization on Twitter during protests against COVID19 mitigation measures in Vienna.- Categorizing Memes about the Ukraine Conflict.- Analyzing Scientometric Indicators of Journals and Chief Editors: A Case Study in Articial Intelligence (AI) Domain.- Link Prediction of Complex Networks based on Local Path and Closeness Centrality.- The influence of color on prices of abstract paintings.- ELA: A Time-Series Forecasting Model for LinerShipping Based on EMD-LSTM and Attention.- Knowledge transfer via word alignment and its application to Vietnamese POS tagging.- A group clustering recommendation approach based on energy distance.- Security and Blockchain.- An Implementation and Evaluation of Layer 2 for Ethereum with zkRollup.- Targeted Attack of the Air Transportation Network Global Component.- Measuring Cryptocurrency Mining in Public Cloud Services: A Security Perspective.- Do Content Management Systems Impact the Security of Free Content Websites?.- Fact-checking, Fake News, and Hate Speech.- BNnetXtreme: An enhanced methodology for Bangla fake news detection online.- Heuristic Gradient Optimization Approach to Controlling Susceptibility to Manipulation in Online Social Networks.- Identifying Targeted and Generalized Offensive Speech from Anti-Asian Social Media Conversations.- US News and Social Media Framing around Vaping.- Network Analysis.- Social Network Analysis of the Caste-Based Reservation System in India.- Structure, stability, persistence and entropy of stock networks during financial crises.- A Community Detection Algorithm using Random Walk.- Learning Heuristics for the Maximum Clique Enumeration Problem Using Low Dimensional Representations.- Optimization.- Competitive influence maximisation with nonlinear allocations.- Frank Wolfe Algorithm for Nonmonotone One-sided Smooth Function Maximization Problem.- Non-monotone $k$-submodular function maximization with individual size constraints.- A Heuristic Algorithm for Student-Project Allocation Problem.- Online File Caching on Multiple Caches in Latency-Sensitive Systems.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031263026
- Herausgeber Springer Nature Switzerland
- Anzahl Seiten 324
- Lesemotiv Verstehen
- Genre Software
- Auflage 1st edition 2023
- Editor Minming Li, Thang N. Dinh
- Sprache Englisch
- Gewicht 493g
- Untertitel 11th International Conference, CSoNet 2022, Virtual Event, December 5-7, 2022, Proceedings
- Größe H235mm x B155mm x T18mm
- Jahr 2023
- EAN 9783031263026
- Format Kartonierter Einband
- ISBN 3031263022
- Veröffentlichung 11.02.2023
- Titel Computational Data and Social Networks