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_a10.1007/978-3-030-91434-9 _2doi |
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_aComputational Data and Social Networks _h[electronic resource] : _b10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, Proceedings / _cedited by David Mohaisen, Ruoming Jin. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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300 |
_aXII, 390 p. 97 illus., 81 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v13116 |
|
505 | 0 | _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 andLabel 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. | |
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. . | ||
650 | 0 |
_aApplication software. _9122626 |
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650 | 0 |
_aNatural language processing (Computer science). _94741 |
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650 | 0 |
_aComputer networks . _931572 |
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650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aComputer networks _xSecurity measures. _93969 |
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650 | 1 | 4 |
_aComputer and Information Systems Applications. _9122627 |
650 | 2 | 4 |
_aNatural Language Processing (NLP). _931587 |
650 | 2 | 4 |
_aComputer Communication Networks. _9122628 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9122629 |
650 | 2 | 4 |
_aMobile and Network Security. _933624 |
700 | 1 |
_aMohaisen, David. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9122630 |
|
700 | 1 |
_aJin, Ruoming. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9122631 |
|
710 | 2 |
_aSpringerLink (Online service) _9122632 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030914332 |
776 | 0 | 8 |
_iPrinted edition: _z9783030914356 |
830 | 0 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v13116 _9122633 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-91434-9 |
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