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Temporal Network Theory / / edited by Petter Holme, Jari Saramäki



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Titolo: Temporal Network Theory / / edited by Petter Holme, Jari Saramäki Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (375 pages)
Disciplina: 003
621
Soggetto topico: Physics
Social sciences—Data processing
Social sciences—Computer programs
Computational complexity
System theory
Applications of Graph Theory and Complex Networks
Computational Social Sciences
Complexity
Complex Systems
Persona (resp. second.): HolmePetter
SaramäkiJari
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Modeling Frameworks and Tools -- Measures of Temporal Network Structure -- Mesoscopic Structures -- Epidemic Spreading -- Other Dynamic Processes.
Sommario/riassunto: This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena. Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the "big data" sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade.
Titolo autorizzato: Temporal Network Theory  Visualizza cluster
ISBN: 3-030-23495-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910349502803321
Lo trovi qui: Univ. Federico II
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Serie: Computational Social Sciences, . 2509-9574