05329nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050002000172072001600192072002300208072001500231245028200246250001800528264006900546300006800615336002600683337002600709338003600735347002400771490013100795505239000926520055703316650003203873650002603905650003603931650004403967650005104011650003604062700008504098700016204183700009004345710003404435773002604469776003604495776003604531830013804567856004604705912001404751912001504765912001404780999001704794978-3-031-66044-3DE-He21320251030113038.0cr nn 008mamaa240813s2024    sz |    s    |||| 0|eng d  a97830316604439978-3-031-66044-37 a10.1007/978-3-031-66044-32doi 4aTK5105.5-5105.9 7aUKN2bicssc 7aCOM0430002bisacsh 7aUKN2thema10aPervasive Knowledge and Collective Intelligence on Web and Social Mediah[electronic resource] :bSecond EAI International Conference, PerSOM 2023, Hyderabad, India, November 24–25, 2023, Proceedings /cedited by Oscar Castillo, Thanikanti Sudhakar Babu, Rajanikanth Aluvalu.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIII, 382 p. 191 illus., 165 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,x1867-822X ;v5170 aExploring the Adoption Readiness of the Indian Generation for Social media Payments: An In-depth Analysis of WhatsApp Payments -- PSO-DE: Optimization of Makespan in Task Scheduling through Cloud Fog Environment -- A Systematic Review Remote Sensed Hyperspectral Image Segmentation and Caption Generation using Deep Learning Methods -- Illuminating Malicious Intent in Social Networks Using Dual-Powered CHAM -- Detecting and Preventing DoS attacks within IoT Environment using AWS IoT Core -- Novel Technique to enhance visibility of Sand-Dust Images -- Citation Analysis of a Q1 Journal from its Thirty Years of Inception in Agriculture Supply-Chain -- Sentiment Analysis of Russia and Ukraine War on Twitter Data: Using Azure Machin Learning and Deep Learning -- Revolutionizing Autonomous Vehicle Intelligence with Cutting-Edge Spatial Crowdsourcing Framework -- Detection of SPAM on Twitter Social medial using Semi Supervised Learning Approach -- Logistics Shipping Based Blockchain using Smart Contracts -- Image Denoising using AI with Entropy as Metric Analysis -- Enhancing Health Record Security and Privacy with Blockchain-based Access Management -- SocialChain: A Decentralized Social Media Platform on the Blockchain -- Behavioural Analysis In Web Pattern Mining Of Social Media Networks Using Deep Densenet Classification -- Identification of Wild Animals In Forests Surveillance Cameras -- Social Media Impact On Student’s Academic Performance: A Study Of College Students In Bhubaneswar -- Semantic Web with Block Chain Technology Parsing New Trends to Extract Novel Scientific Demands -- Loan Status Prediction System with Ensembled Machine Learning Model with Enhancing Accuracy and Reliability -- Effect of Global Warming on Glaciers, Rivers & Water Towers -- Social Media Toxic-Text analysis using Deep Learning Techniques -- Twitter Sentiment Analysis -- Fake News Recognition using Machine Learning -- Accident Detection System Using Video Data -- Temporal Sentiment Analysis (TSMFPMSM) Model for Multimodal Social Media Fake Profile Detection -- Unveiling the Underworld: Detecting Fake Profiles through Network Analysis and Behavioral Modeling on Social Media -- VGMFSN: Design of an Efficient Fused VARMA GRU Model for the Identification of Fake Profiles on Social Networks -- Attaining Information Reliability Over Web Through Quantum Key Distribution.  aThis book constitutes the refereed proceedings of the Second EAI International Conference on Pervasive Knowledge and Collective Intelligence on Web and Social Media, PerSOM 2023, which took place in Hyderabad, India, during November 24–25, 2023. The 28 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They focus on information and Web mining, social network analysis, semantic network analysis, trust, reputation, social control and privacy, information reliability, and Web and content authenticity. 0aComputer networks .960157 0aApplication software. 0aArtificial intelligence.95844114aComputer Communication Networks.96568924aComputer and Information Systems Applications.24aArtificial Intelligence.9584411 aCastillo, Oscar.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9667671 aSudhakar Babu, Thanikanti.eeditor.0(orcid)0000-0003-0737-39611https://orcid.org/0000-0003-0737-39614edt4http://id.loc.gov/vocabulary/relators/edt9841851 aAluvalu, Rajanikanth.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9802052 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303166043608iPrinted edition:z9783031660450 0aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,x1867-822X ;v51796812140uhttps://doi.org/10.1007/978-3-031-66044-3  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNS  c63326d63326