國立虎尾科技大學 |

Computational Data and Social Networks = 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational Data and Social Networks/ edited by David Mohaisen, Ruoming Jin.
其他題名:	10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings /
其他作者:	Jin, Ruoming.
面頁冊數:	XII, 390 p. 97 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Mobile and Network Security. -
電子資源:	https://doi.org/10.1007/978-3-030-91434-9
ISBN:	9783030914349

Computational Data and Social Networks = 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings /
Computational Data and Social Networks10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings /[electronic resource] :edited by David Mohaisen, Ruoming Jin. - 1st ed. 2021. - XII, 390 p. 97 illus., 81 illus. in color.online resource. - Theoretical Computer Science and General Issues,131162512-2029 ;. - Theoretical Computer Science and General Issues,12865.

Combinatorial 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.

This 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. .

ISBN: 9783030914349

Standard No.: 10.1007/978-3-030-91434-9doiSubjects--Topical Terms:

1211619
Mobile and Network Security.

LC Class. No.: QA76.76.A65

Dewey Class. No.: 005.3

Computational Data and Social Networks = 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings /
LDR:05352nam a22004095i 4500 001 1059469
003 DE-He213
005 20220223153807.0
007 cr nn 008mamaa
008 220414s2021 sz | s |||| 0|eng d
020 $a 9783030914349 $9 978-3-030-91434-9
024 7 $a 10.1007/978-3-030-91434-9 $2 doi
035 $a 978-3-030-91434-9
050 4 $a QA76.76.A65
072 7 $a UB $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UX $2 thema
082 0 4 $a 005.3 $2 23
245 1 0 $a Computational Data and Social Networks $h [electronic resource] : $b 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings / $c edited by David Mohaisen, Ruoming Jin.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XII, 390 p. 97 illus., 81 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Theoretical Computer Science and General Issues, $x 2512-2029 ; $v 13116
505 0 $a Combinatorial 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.
520 $a This 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 2 4 $a Mobile and Network Security. $3 1211619
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Natural Language Processing (NLP). $3 1254293
650 1 4 $a Computer and Information Systems Applications. $3 1365732
650 0 $a Computer networks—Security measures. $3 1366173
650 0 $a Data mining. $3 528622
650 0 $a Computer networks . $3 1365720
650 0 $a Natural language processing (Computer science). $3 802180
650 0 $a Application software. $3 528147
700 1 $a Jin, Ruoming. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1363040
700 1 $a Mohaisen, David. $e editor. $1 https://orcid.org/0000-0003-3227-2505 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1363039
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030914332
776 0 8 $i Printed edition: $z 9783030914356
830 0 $a Theoretical Computer Science and General Issues, $x 2512-2029 ; $v 12865 $3 1365719
856 4 0 $u https://doi.org/10.1007/978-3-030-91434-9
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)