001441246 000__ 06607cam\a2200673\i\4500
001441246 001__ 1441246
001441246 003__ OCoLC
001441246 005__ 20230309004728.0
001441246 006__ m\\\\\o\\d\\\\\\\\
001441246 007__ cr\un\nnnunnun
001441246 008__ 211209s2021\\\\sz\a\\\\o\\\\\101\0\eng\d
001441246 019__ $$a1287896684$$a1287919853$$a1292518615$$a1294361432
001441246 020__ $$a9783030914349$$q(electronic bk.)
001441246 020__ $$a3030914348$$q(electronic bk.)
001441246 020__ $$z9783030914332$$q(print)
001441246 020__ $$z303091433X
001441246 0247_ $$a10.1007/978-3-030-91434-9$$2doi
001441246 035__ $$aSP(OCoLC)1287996561
001441246 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dOCLCQ$$dOCLCF$$dDKU$$dOCLCO$$dDCT$$dCOM$$dOCLCQ$$dOCLCO$$dOCLCQ
001441246 049__ $$aISEA
001441246 050_4 $$aHM742
001441246 08204 $$a006.7/54$$223
001441246 1112_ $$aCSoNet (Conference)$$n(10th :$$d2021 :$$cOnline)
001441246 24510 $$aComputational data and social networks :$$b10th International Conference, CSoNet 2021, Virtual event, November 15-17, 2021, Proceedings /$$cDavid Mohaisen, Ruoming Jin (eds.).
001441246 2463_ $$aCSoNet 2021
001441246 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001441246 300__ $$a1 online resource (xii, 390 pages) :$$billustrations (some color)
001441246 336__ $$atext$$btxt$$2rdacontent
001441246 337__ $$acomputer$$bc$$2rdamedia
001441246 338__ $$aonline resource$$bcr$$2rdacarrier
001441246 347__ $$atext file
001441246 347__ $$bPDF
001441246 4901_ $$aLecture notes in computer science ;$$v13116
001441246 4901_ $$aLNCS sublibrary, SL 1, Theoretical computer science and general issues
001441246 500__ $$aIncludes author index.
001441246 5050_ $$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.
001441246 506__ $$aAccess limited to authorized users.
001441246 520__ $$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.
001441246 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 9, 2021).
001441246 650_0 $$aOnline social networks$$vCongresses.
001441246 650_0 $$aNatural language processing (Computer science)$$vCongresses.
001441246 650_0 $$aBig data$$vCongresses.
001441246 650_6 $$aRéseaux sociaux (Internet)$$vCongrès.
001441246 650_6 $$aTraitement automatique des langues naturelles$$vCongrès.
001441246 650_6 $$aDonnées volumineuses$$vCongrès.
001441246 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001441246 655_7 $$aConference papers and proceedings.$$2lcgft
001441246 655_7 $$aActes de congrès.$$2rvmgf
001441246 655_0 $$aElectronic books.
001441246 7001_ $$aMohaisen, David,$$eeditor$$0(orcid)0000-0003-3227-2505$$1https://orcid.org/0000-0003-3227-2505
001441246 7001_ $$aJin, Ruoming,$$eeditor.
001441246 830_0 $$aLecture notes in computer science ;$$v13116.
001441246 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues.
001441246 852__ $$bebk
001441246 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-91434-9$$zOnline Access$$91397441.1
001441246 909CO $$ooai:library.usi.edu:1441246$$pGLOBAL_SET
001441246 980__ $$aBIB
001441246 980__ $$aEBOOK
001441246 982__ $$aEbook
001441246 983__ $$aOnline
001441246 994__ $$a92$$bISE