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Computational Data and Social Networks [electronic resource] : 11th International Conference, CSoNet 2022, Virtual Event, December 5–7, 2022, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 13831Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XIII, 306 p. 81 illus., 70 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031263033
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.3 23
LOC classification:
  • QA76.76.A65
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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 5–7, 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.
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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.

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 5–7, 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.

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