1.

Record Nr.

UNISA996511871503316

Titolo

Computational Data and Social Networks : 11th International Conference, CSoNet 2022, Virtual Event, December 5-7, 2022, Proceedings / / Thang N. Dinh and Minming Li, editors

Pubbl/distr/stampa

Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]

©2023

ISBN

3-031-26303-0

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (313 pages)

Collana

Lecture Notes in Computer Science Series ; ; Volume 13831

Disciplina

006.35

Soggetti

Natural language processing (Computer science)

Online social networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.



2.

Record Nr.

UNINA9910842284503321

Titolo

Computational Data and Social Networks : 12th International Conference, CSoNet 2023, Hanoi, Vietnam, December 11–13, 2023, Proceedings / / edited by Minh Hoàng Hà, Xingquan Zhu, My T. Thai

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024

ISBN

981-9706-69-6

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (440 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 14479

Disciplina

005.7

Soggetti

Application software

Computer networks

Data structures (Computer science)

Information theory

Artificial intelligence

Computers

Computer and Information Systems Applications

Computer Communication Networks

Data Structures and Information Theory

Artificial Intelligence

Computing Milieux

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Machine Learning and Prediction: An Approach Using Threshold-Based Noise Reduction and Fine-tuned ShuffleNetV2 for Plant Leaf Disease Detection -- Enhancing Visual Question Answering with Generated Image Caption -- A Gaussian Distribution Labeling Method for Speech Quality Assessment -- TextFocus: Efficient Multi-Scale Detection for Arbitrary Scene Text -- Fake Face Recognition on Images Generated by Various Deepfakes Tools -- Multi-scale Aggregation Network for Speech Emotion Recognition -- ViEcomRec: A Novel Dataset for Recommendation Systems in Vietnamese E-commerce For Face Cleanser Products -- Untargeted Code Authorship Evasion with Seq2Seq Transformation -- Mining the Potential Temporal Features



based on Wearable EEG Signals for Driving State Analysis -- VN-Legal-KG: Vietnam Legal Knowledge Graph for Legal Statute Identification on Land Law Matters -- CombiGCN: An effective GCN model for Recommender System -- Unveiling Sentiments in Vietnamese Education Texts: Could Large Language Model beat PhoBERT? -- Portfolio Construction based on Time Series Clustering Method: Evidence in Vietnamese Stock Market -- An Approach for Web Content Classification with FastText -- Optimization: Continuous Length-Bounded Paths Interdiction -- A* search algorithm for an optimal investment problem in Vehicle-Sharing system -- The Matheuristic for Building Cost-Constrained Decision Trees with Multiple Condition Attributes -- Fast Bicriteria Approximation Algorithm for Minimum Cost Submodular Cover Problem -- Mixed Integer Linear Programming-based Methods for The Optimal Time–Constrained Cost-Sensitive Decision Tree -- Solving Time-Dependent Traveling Salesman Problem with Time Windows under Generic Time-Dependent Travel Cost -- Improved Streaming Algorithm for Minimum Cost Submodular Cover Problem -- Deletion-Robust Submodular Maximization under the Cardinality Constraint over the Integer Lattice -- Evolutionary Parameter Optimization: A Novel Control Strategy for Chaotic Environments -- Security and Blockchain: The Infrastructure Utilization of Free Contents Websites Reveal their Security Characteristics: A Correlation Analysis -- Understanding the Utilization of Cryptocurrency in the Metaverse and Security Implications -- Blockchain and IoT for Enhanced Traceability in Waste Treatment Processes: A Microservice and Brokerless Approach -- Towards a management system of blood and its products based on Blockchain, smart contracts, and NFT: a case study in Vietnam -- Secure Conversation: A View From Physical Layer -- MIDAS: A Multi-chain Interoperable Data and Access System for Healthcare -- Network Analysis: Leveraging GNNs and Node Entropy for Anomaly Detection: Revealing Misinformation Spreader on Twitter Network -- Air Transportation Network Backbone Extraction: A Comparative Analysis of Structural Filtering Techniques -- Multiplex network approach for modeling the spread of African swine fever in Poland -- Identification and Analysis of the Spread of Misinformation on Social Media Modeling the change of public opinion caused by opinion posts’ dissemination in social networks -- Scalable Deep Metric Learning on Attributed Graphs -- Deep Learning Based Model for Stress Measurement in Online Social Networks -- Stress Expression Identification Model for Emotion-Driven Association Calculation over Social Network Blogs.

Sommario/riassunto

This book constitutes the refereed conference proceedings of the 12th International Conference on Computational Data and Social Networks, CSoNet 2023, held in Hanoi, Vietnam, in December 2023. The 23 full papers and 14 short papers presented in this book were carefully reviewed and selected from 64 submissions. The papers are divided into the following topical sections: machine learning and prediction; optimization; security and blockchain; and network analysis.