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|a 9783030146832
|9 978-3-030-14683-2
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|a 10.1007/978-3-030-14683-2
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|a Dynamics On and Of Complex Networks III
|h [electronic resource] :
|b Machine Learning and Statistical Physics Approaches /
|c edited by Fakhteh Ghanbarnejad, Rishiraj Saha Roy, Fariba Karimi, Jean-Charles Delvenne, Bivas Mitra.
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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|a X, 244 p. 76 illus., 68 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Springer Proceedings in Complexity,
|x 2213-8684
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|a Part1. Network Structure -- Chapter1. An Empirical Study of the Effect of Noise Models on Centrality Metrics -- Chapter2. Emergence and Evolution of Hierarchical Structure in Complex Systems -- Chapter3. Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective -- Part2. Network Dynamics -- Chapter4. Automatic Discovery of Families of Network Generative Processes -- Chapter5. Modeling User Dynamics in Collaboration Websites -- Chapter6. The Problem of Interaction Prediction in Link Streams -- Chapter7. The Network Source Location Problem in the Context of Foodborne Disease Outbreaks -- Part3. Theoretical Models and applications -- Chapter8. Network Representation Learning using Local Sharing and Distributed Graph Factorization (LSDGF) -- Chapter9. The Anatomy of Reddit: An Overview of Academic Research -- Chapter10. Learning Information Dynamics in Social Media: A Temporal Point Process Perspective. .
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|a This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.
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650 |
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|a Sociophysics.
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650 |
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|a Econophysics.
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650 |
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|a Computational complexity.
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|a Social sciences-Data processing.
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|a Social sciences-Computer programs.
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650 |
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|a System theory.
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|a Data-driven Science, Modeling and Theory Building.
|0 http://scigraph.springernature.com/things/product-market-codes/P33030
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|a Complexity.
|0 http://scigraph.springernature.com/things/product-market-codes/T11022
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650 |
2 |
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|a Computational Social Sciences.
|0 http://scigraph.springernature.com/things/product-market-codes/X34000
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650 |
2 |
4 |
|a Complex Systems.
|0 http://scigraph.springernature.com/things/product-market-codes/M13090
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700 |
1 |
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|a Ghanbarnejad, Fakhteh.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Saha Roy, Rishiraj.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Karimi, Fariba.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Delvenne, Jean-Charles.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Mitra, Bivas.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9783030146825
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776 |
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8 |
|i Printed edition:
|z 9783030146849
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776 |
0 |
8 |
|i Printed edition:
|z 9783030146856
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830 |
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0 |
|a Springer Proceedings in Complexity,
|x 2213-8684
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856 |
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0 |
|u https://doi.org/10.1007/978-3-030-14683-2
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-PHA
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950 |
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|a Physics and Astronomy (Springer-11651)
|