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Complex networks Xproceedings of the...

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Complex networks Xproceedings of the 10th Conference on Complex Networks CompleNet 2019 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Complex networks Xedited by Sean P. Cornelius ... [et al.].
Reminder of title:	proceedings of the 10th Conference on Complex Networks CompleNet 2019 /
remainder title:	CompleNet 2019
other author:	Cornelius, Sean P.
corporate name:
Published:	Cham :Springer International Publishing :2019.
Description:	x, 183 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer networksCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-14459-3
ISBN:	9783030144593$q(electronic bk.)

Complex networks Xproceedings of the 10th Conference on Complex Networks CompleNet 2019 /
Complex networks Xproceedings of the 10th Conference on Complex Networks CompleNet 2019 /[electronic resource] :CompleNet 2019edited by Sean P. Cornelius ... [et al.]. - Cham :Springer International Publishing :2019. - x, 183 p. :ill. (some col.), digital ;24 cm. - Springer proceedings in complexity,2213-8684. - Springer proceedings in complexity..

Observability of dynamical networks from graphic and symbolic approaches -- Exploratory factor analysis of graphical features for link prediction in social networks -- An efficient approach for counting occurring induced subgraphs -- A Generalized Configuration Model with Degree Correlations -- Missing Data Augmentation for Bayesian Exponential Random Multi-Graph Models -- Spread and control of misinformation with heterogeneous agents -- Long-Term Behavior in Evolutionary Dynamics from Ergodicity Breaking -- Combining path-constrained random walks to recover link weights in heterogeneous information networks -- The Structure and Evolution of an Offline Peer-to-Peer Financial Network -- Modelling students' thematically associated knowledge: Networked knowledge from affinity statistics -- Graph Convolutional Networks on Customer/Supplier Graph Data to Improve Default Prediction -- Multidimensional Outlier Detection in Interaction Data: Application to Political Communication on Twitter -- Social Media Vocabulary Reveals Education Attainment of Populations -- Exploring the role and nature of interactions between Institutes in a Local Affiliation Network.

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 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. 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. This text will appeal to students and researchers in the field.

ISBN: 9783030144593$q(electronic bk.)

Standard No.: 10.1007/978-3-030-14459-3doiSubjects--Topical Terms:

384494
Computer networks
--Congresses.

LC Class. No.: TK5105.5

Dewey Class. No.: 004.6

Complex networks Xproceedings of the 10th Conference on Complex Networks CompleNet 2019 /
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505 0 $a Observability of dynamical networks from graphic and symbolic approaches -- Exploratory factor analysis of graphical features for link prediction in social networks -- An efficient approach for counting occurring induced subgraphs -- A Generalized Configuration Model with Degree Correlations -- Missing Data Augmentation for Bayesian Exponential Random Multi-Graph Models -- Spread and control of misinformation with heterogeneous agents -- Long-Term Behavior in Evolutionary Dynamics from Ergodicity Breaking -- Combining path-constrained random walks to recover link weights in heterogeneous information networks -- The Structure and Evolution of an Offline Peer-to-Peer Financial Network -- Modelling students' thematically associated knowledge: Networked knowledge from affinity statistics -- Graph Convolutional Networks on Customer/Supplier Graph Data to Improve Default Prediction -- Multidimensional Outlier Detection in Interaction Data: Application to Political Communication on Twitter -- Social Media Vocabulary Reveals Education Attainment of Populations -- Exploring the role and nature of interactions between Institutes in a Local Affiliation Network.
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 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. 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. This text will appeal to students and researchers in the field.
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