Dynamics On and Of Complex Networks III Machine Learning and Statistical Physics Approaches /

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: predicti...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Ghanbarnejad, Fakhteh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Saha Roy, Rishiraj (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Karimi, Fariba (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Delvenne, Jean-Charles (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mitra, Bivas (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Springer Proceedings in Complexity,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:X, 244 p. 76 illus., 68 illus. in color. online resource.
ISBN:9783030146832
ISSN:2213-8684
DOI:10.1007/978-3-030-14683-2