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 #  AuthorTitleAccn#YearItem Type Claims
1 Holme, Petter Temporal Network Theory I08986 2019 eBook  
2 Holme, Petter Temporal Networks I07999 2013 eBook  
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TitleTemporal Network Theory
Author(s)Holme, Petter;Saram??ki, Jari
PublicationCham, Springer International Publishing, 2019.
DescriptionVIII, 375 p. 100 illus., 84 illus. in color : online resource
Abstract NoteThis 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
ISBN,Price9783030234959
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMPLEX SYSTEMS 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Computational Social Sciences 6. EBOOK 7. EBOOK - SPRINGER 8. PHYSICS 9. Social sciences???Computer programs 10. Social sciences???Data processing 11. SYSTEM THEORY
Item TypeeBook
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
I08986     On Shelf    

2.    
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TitleTemporal Networks
Author(s)Holme, Petter;Saram??ki, Jari
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2013.
DescriptionVIII, 352 p : online resource
Abstract NoteThe concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach?? the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field
ISBN,Price9783642364617
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. EBOOK 5. EBOOK - SPRINGER 6. MATHEMATICS 7. Mathematics in the Humanities and Social Sciences 8. Methodology of the Social Sciences 9. PHYSICS 10. SOCIAL SCIENCES
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I07999     On Shelf    

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