LEADER 06314nam 22006975 450 001 996464445303316 005 20230329193434.0 010 $a3-030-91434-8 024 7 $a10.1007/978-3-030-91434-9 035 $a(CKB)5100000000152508 035 $a(MiAaPQ)EBC6857950 035 $a(Au-PeEL)EBL6857950 035 $a(DE-He213)978-3-030-91434-9 035 $a(PPN)259384852 035 $a(EXLCZ)995100000000152508 100 $a20211203d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Data and Social Networks$b[electronic resource] $e10th International Conference, CSoNet 2021, Virtual Event, November 15?17, 2021, Proceedings /$fedited by David Mohaisen, Ruoming Jin 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (392 pages) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v13116 300 $aIncludes index. 311 $a3-030-91433-X 327 $aCombinatorial Optimization and Learning -- Streaming algorithms for maximizing non-submodular functions on the integer lattice -- Causal Inference for Influence Propagation --- Identifiability of the In-dependent Cascade Model -- Streaming algorithms for Budgeted $k$-Submodular Maximization problem -- Approximation algorithms for the lower bounded correlation clustering problem -- Approximation Algorithm for Maximizing Nonnegative Weakly Mono-tonic Set Functions -- Differentially Private Submodular Maximization over Integer Lattice -- Maximizing the sum of a supermodular function and a monotone DR-submodular function subject to a knapsack constraint on the integer lattice -- Deep Learning and Applications to Complex and Social Systems -- A Framework for Accelerating Graph Convolution Networks on Massive Datasets -- AdvEdge: Optimizing Adversarial Perturbations against Interpretable Deep Learning -- Incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer -- Deep Bangla Authorship Attribution using Transformer Models -- A Deep Learning Based Traffic Sign Detection for Intelligent Transportation Systems -- Detecting Hate Speech Contents Using Embedding Models -- MIC Model for Cervical Cancer Risk Factors Deep Association Analysis -- Power Grid Cascading Failure Prediction Based on Transforme -- Measurements of Insight from Data -- Security Breaches in the Healthcare Domain: A Spatiotemporal Analysis -- Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network -- Understanding the Issues Surrounding COVID-19 Vaccine Roll Out Via User Tweets -- Complex Networks Analytics -- Minimize Travel Time with Traffic Flow Density Equilibrium on Road Network -- Network based Framework to Compare Vaccination Strategies -- Groups Influence with Minimum Cost in Social Network -- Recovering communities in temporal networks using persistent edges -- Community Detection using Semilocal Topological Features and Label Propagation Algorithm -- Twitter Analysis of Covid-19 Misinformation in Spain -- Comparing Community-aware Centrality Measures in Online Social Networks -- Two-Tier Cache-Aided Full-Duplex Content Delivery in Satellite-Terrestrial Networks -- Special Track: Fact-Checking, Fake News and Malware Detection in Online Social Networks -- Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations -- The Role of Information Organization and Knowledge Structuring in Combatting Misinformation: A Literary Analysis -- Fake News Detection using LDA Topic Modelling and K-Nearest Neighbor Classifier -- Special Track: Information Spread in Social and Data Networks -- Summarization Algorithms for News: a Study of the Coronavirus Theme and its Impact on the News Extracting Algorithm -- Social cohesion during stay-at-home phase during the first wave of COVID-19 in Poland -- Influence and Activation Thresholds Target Set Selection within Community Structure. 330 $aThis book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. . 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v13116 606 $aApplication software 606 $aNatural language processing (Computer science) 606 $aComputer networks 606 $aData mining 606 $aComputer networks?Security measures 606 $aComputer and Information Systems Applications 606 $aNatural Language Processing (NLP) 606 $aComputer Communication Networks 606 $aData Mining and Knowledge Discovery 606 $aMobile and Network Security 615 0$aApplication software. 615 0$aNatural language processing (Computer science). 615 0$aComputer networks. 615 0$aData mining. 615 0$aComputer networks?Security measures. 615 14$aComputer and Information Systems Applications. 615 24$aNatural Language Processing (NLP). 615 24$aComputer Communication Networks. 615 24$aData Mining and Knowledge Discovery. 615 24$aMobile and Network Security. 676 $a006.754 702 $aJin$b Ruoming 702 $aMohaisen$b David 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464445303316 996 $aComputational Data and Social Networks$92586677 997 $aUNISA