國立虎尾科技大學 |

Complex Networks IX = Proceedings of the 9th Conference on Complex Networks CompleNet 2018 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Complex Networks IX/ edited by Sean Cornelius, Kate Coronges, Bruno Gonçalves, Roberta Sinatra, Alessandro Vespignani.
其他題名:	Proceedings of the 9th Conference on Complex Networks CompleNet 2018 /
其他作者:	Cornelius, Sean.
面頁冊數:	XV, 350 p. 90 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Physics. -
電子資源:	https://doi.org/10.1007/978-3-319-73198-8
ISBN:	9783319731988

Complex Networks IX = Proceedings of the 9th Conference on Complex Networks CompleNet 2018 /
Complex Networks IXProceedings of the 9th Conference on Complex Networks CompleNet 2018 /[electronic resource] :edited by Sean Cornelius, Kate Coronges, Bruno Gonçalves, Roberta Sinatra, Alessandro Vespignani. - 1st ed. 2018. - XV, 350 p. 90 illus., 81 illus. in color.online resource. - Springer Proceedings in Complexity,2213-8684. - Springer Proceedings in Complexity,.

Part I: Theory of Complex Networks -- On the Eccentricity Function in Graphs -- Density Decompositions of Networks -- 188 Fast Streaming Small Graph Canonization -- Silhouette for the Evaluation of Community Structures in Multiplex Networks -- Jaccard Curvature: An Efficient Proxy for Ollivier-Ricci Curvature in Graphs -- Combinatorial Miller-Hagberg Algorithm for Randomization of Dense Networks -- Proposal of Strategic Link Addition for Improving the Robustness of Multiplex Networks -- Part II: Graph Embeddings -- Embedding-Centrality: Generic Centrality Computation Using Neural Networks -- Fast Sequence Based Embedding with Diffusion Graphs -- Semi–supervised Graph Embedding Approach to Dynamic Link Prediction -- Modularity Optimization as a Training Criterion for Graph Neural Networks -- Part II: Network Dynamics -- Outer synchronization for General Weighted Complex Dynamical Networks Considering Incomplete Measurements of Transmitted Information -- Diffusive Phenomena in Dynamic Networks: A Data-driven Study -- Fractal Analyses of Networks of Integrate-and-Fire Stochastic Spiking Neurons -- Part IV: Network Science Applications -- Cultivating Tipping Points: Network Science in Teaching -- Terrorist Network Analyzed with an Influence Spreading Model -- Author Attribution using Network Motifs -- Complex Networks Reveal a Glottochronological Classification of Natural Languages -- A Percolation-based Thresholding Method with Applications in Functional Connectivity Analysis -- Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams -- Router Level Topologies of Autonomous Systems -- Part V: Human Behavior and Social Networks -- Social Influence (Deep) Learning for Human Behavior Prediction -- Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation -- Are Crisis Platforms Supporting Citizen Participation? -- Dynamic Visualization of Citation Networks and Detection of Influential Node Addition -- A Trust-Based News Spreading Model -- Discovering Mobility Functional Areas: A Mobility Data Analysis Approach -- Estimating Peer Influence Effects Under Homphily: Randomized Treatments and Insights.

This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) 2018 in Boston, MA in March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.

ISBN: 9783319731988

Standard No.: 10.1007/978-3-319-73198-8doiSubjects--Topical Terms:

564049
Physics.

LC Class. No.: QC1-999

Dewey Class. No.: 621

Complex Networks IX = Proceedings of the 9th Conference on Complex Networks CompleNet 2018 /
LDR:04762nam a22004215i 4500 001 996032
003 DE-He213
005 20200705040229.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319731988 $9 978-3-319-73198-8
024 7 $a 10.1007/978-3-319-73198-8 $2 doi
035 $a 978-3-319-73198-8
050 4 $a QC1-999
072 7 $a PHU $2 bicssc
072 7 $a SCI064000 $2 bisacsh
072 7 $a PHU $2 thema
072 7 $a PBKD $2 thema
082 0 4 $a 621 $2 23
245 1 0 $a Complex Networks IX $h [electronic resource] : $b Proceedings of the 9th Conference on Complex Networks CompleNet 2018 / $c edited by Sean Cornelius, Kate Coronges, Bruno Gonçalves, Roberta Sinatra, Alessandro Vespignani.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XV, 350 p. 90 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 Springer Proceedings in Complexity, $x 2213-8684
505 0 $a Part I: Theory of Complex Networks -- On the Eccentricity Function in Graphs -- Density Decompositions of Networks -- 188 Fast Streaming Small Graph Canonization -- Silhouette for the Evaluation of Community Structures in Multiplex Networks -- Jaccard Curvature: An Efficient Proxy for Ollivier-Ricci Curvature in Graphs -- Combinatorial Miller-Hagberg Algorithm for Randomization of Dense Networks -- Proposal of Strategic Link Addition for Improving the Robustness of Multiplex Networks -- Part II: Graph Embeddings -- Embedding-Centrality: Generic Centrality Computation Using Neural Networks -- Fast Sequence Based Embedding with Diffusion Graphs -- Semi–supervised Graph Embedding Approach to Dynamic Link Prediction -- Modularity Optimization as a Training Criterion for Graph Neural Networks -- Part II: Network Dynamics -- Outer synchronization for General Weighted Complex Dynamical Networks Considering Incomplete Measurements of Transmitted Information -- Diffusive Phenomena in Dynamic Networks: A Data-driven Study -- Fractal Analyses of Networks of Integrate-and-Fire Stochastic Spiking Neurons -- Part IV: Network Science Applications -- Cultivating Tipping Points: Network Science in Teaching -- Terrorist Network Analyzed with an Influence Spreading Model -- Author Attribution using Network Motifs -- Complex Networks Reveal a Glottochronological Classification of Natural Languages -- A Percolation-based Thresholding Method with Applications in Functional Connectivity Analysis -- Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams -- Router Level Topologies of Autonomous Systems -- Part V: Human Behavior and Social Networks -- Social Influence (Deep) Learning for Human Behavior Prediction -- Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation -- Are Crisis Platforms Supporting Citizen Participation? -- Dynamic Visualization of Citation Networks and Detection of Influential Node Addition -- A Trust-Based News Spreading Model -- Discovering Mobility Functional Areas: A Mobility Data Analysis Approach -- Estimating Peer Influence Effects Under Homphily: Randomized Treatments and Insights.
520 $a This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) 2018 in Boston, MA in March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.
650 0 $a Physics. $3 564049
650 0 $a Social sciences—Data processing. $3 1280453
650 0 $a Social sciences—Computer programs. $3 1280454
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computational complexity. $3 527777
650 1 4 $a Applications of Graph Theory and Complex Networks. $3 1113468
650 2 4 $a Computational Social Sciences. $3 1141127
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Complexity. $3 669595
700 1 $a Cornelius, Sean. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1287175
700 1 $a Coronges, Kate. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1287176
700 1 $a Gonçalves, Bruno. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1264383
700 1 $a Sinatra, Roberta. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1272258
700 1 $a Vespignani, Alessandro. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1287177
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319731971
776 0 8 $i Printed edition: $z 9783319731995
776 0 8 $i Printed edition: $z 9783319892405
830 0 $a Springer Proceedings in Complexity, $x 2213-8684 $3 1258505
856 4 0 $u https://doi.org/10.1007/978-3-319-73198-8
912 $a ZDB-2-PHA
912 $a ZDB-2-SXP
950 $a Physics and Astronomy (SpringerNature-11651)
950 $a Physics and Astronomy (R0) (SpringerNature-43715)