Temporal Networks (Understanding Complex Systems) - Softcover

Softcover

ISBN 10: 3642433499 ISBN 13: 9783642433498

Verlag: Springer, 2015

Inhaltsangabe

THE CONCEPT OF TEMPORAL NETWORKS IS AN EXTENSION OF COMPLEX NETWORKS AS A MODELING FRAMEWORK TO INCLUDE INFORMATION ON WHEN INTERACTIONS BETWEEN NODES HAPPEN. <BR>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. <BR>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. <BR>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. <BR>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. <BR>THIS BOOK IS INTENDED AS A FIRST INTRODUCTION AND STATE-OF-THE ART OVERVIEW OF THIS RAPIDLY EMERGING FIELD.

Über diesen Titel

Reseña del editor:

This book offers an introduction to temporal network methods, which lift temporal information from the level of system dynamics to the mathematical representation of the contact network itself, yielding more accurate models of large-scale dynamic phenomena.

Contraportada:

The 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.

Über diese Auflage

• Verlag: Springer
• Erscheinungsdatum: 2015
• ISBN 10: 3642433499
• ISBN 13: 9783642433498
• Einband: Tapa blanda
• Anzahl der Seiten: 360
• Herausgeber: Holme Petter, Saramäki Jari