Complex Networks X Proceedings of the 10th Conference on Complex Networks CompleNet 2019 Springer Proceedings in Complexity

Sean P. Cornelius

Complex Networks X Proceedings of the 10th Conference on Complex Networks CompleNet 2019 Springer Proceedings in Complexity - 1
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Complex Networks X Proceedings of the 10th Conference on Complex Networks CompleNet 2019 Springer Proceedings in Complexity
1. Observability of dynamical networks from graphic and symbolic approaches2. Exploratory factor analysis of graphical features for link prediction in social networks3. An efficient approach for counting occurring induced subgraphs4. A Generalized Configuration Model with Degree Correlations5. Missing Data Augmentation for Bayesian Exponential Random Multi-Graph Models6. Spread and control of...

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Resumo

Complex Networks X Proceedings of the 10th Conference on Complex Networks CompleNet 2019 Springer Proceedings in Complexity
1. Observability of dynamical networks from graphic and symbolic approaches
2. Exploratory factor analysis of graphical features for link prediction in social networks
3. An efficient approach for counting occurring induced subgraphs
4. A Generalized Configuration Model with Degree Correlations
5. Missing Data Augmentation for Bayesian Exponential Random Multi-Graph Models
6. Spread and control of misinformation with heterogeneous agents
7. Long-Term Behavior in Evolutionary Dynamics from Ergodicity Breaking
8. Combining path-constrained random walks to recover link weights in heterogeneous information networks
9. The Structure and Evolution of an Offline Peer-to-Peer Financial Network
10. Modelling students' thematically associated knowledge: Networked knowledge from affinity statistics
11. Graph Convolutional Networks on Customer/Supplier Graph Data to Improve Default Prediction
12. Multidimensional Outlier Detection in Interaction Data: Application to Political Communication on Twitter
13. Social Media Vocabulary Reveals Education Attainment of Populations
14. Exploring the role and nature of interactions between Institutes in a Local Affiliation Network

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Encadernação: Capa Dura / Hardback
Tema: Mathematical physics
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Características

Editora

Springer

Data de lançamento

06/03/2019

Peso

0,0

Série/Edição Limitada

1st ed. 2019

Colecção

Mathematical physics

Idiomas

Inglês

EAN

9783030144586

Publicidade
Publicidade