The Resource Models of science dynamics : encounters between complexity theory and information sciences, [editors] Andrea Scharnhorst, Katy Börner, Peter van den Besselaar, (electronic resource)

Models of science dynamics : encounters between complexity theory and information sciences, [editors] Andrea Scharnhorst, Katy Börner, Peter van den Besselaar, (electronic resource)

Label
Models of science dynamics : encounters between complexity theory and information sciences
Title
Models of science dynamics
Title remainder
encounters between complexity theory and information sciences
Statement of responsibility
[editors] Andrea Scharnhorst, Katy Börner, Peter van den Besselaar
Contributor
Provider
Subject
Language
eng
Summary
Models of science dynamics aim to capture the structure and evolution of science. They are developed in an emerging research area in which scholars, scientific institutions and scientific communications become themselves basic objects of research. In order to understand phenomena as diverse as the structure of evolving co-authorship networks or citation diffusion patterns, different models have been developed. They include conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, and computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive research agenda. This book aims to fill this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented here cover stochastic and statistical models, game-theoretic approaches, agent-based simulations, population-dynamics models, and complex network models. The book starts with a foundational chapter that defines and operationalizes terminology used in the study of science, and a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of future challenges for science modeling and discusses their relevance for science policy and science policy studies
Member of
Cataloging source
GW5XE
Image bit depth
0
LC call number
Q172
LC item number
.M63 2012
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • SpringerLink
  • Scharnhorst, Andrea
  • Börner, Katy
  • Besselaar, Peter van den
Series statement
Understanding Complex Systems,
http://library.link/vocab/subjectName
  • Science
  • Computational complexity
  • Social Sciences
  • Methodology of the Social Sciences
  • Socio- and Econophysics, Population and Evolutionary Models
  • Information Systems Applications (incl. Internet)
  • Complexity
  • Computational complexity
  • Science
  • Physique
  • Astronomie
Label
Models of science dynamics : encounters between complexity theory and information sciences, [editors] Andrea Scharnhorst, Katy Börner, Peter van den Besselaar, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Part I Foundations -- An Introduction to Modeling Science: Basic Model Types, Key Definitions, and a General Framework for the Comparison of Process Models -- Mathematical Approaches to Modeling Science From an Algorithmic-historiography Perspectice -- Part II Exemplary Model Type -- Knowledge Epidemics and Population Dynamics Models for Describing Idea Diffusion -- Agent-based Models of Science -- Evolutionary Game Theory and Complex Networks of Scientific Information -- Part III Exemplary Model Applications -- Dynamic Scientific Co-authorship Networks -- Citation Networks -- Part IV Outlook -- Science Policy and the Challenges for Modeling Science -- Index
Dimensions
unknown
Extent
1 online resource (xxx, 269 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642230684
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-642-23068-4
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)775469805
  • (OCoLC)ocn775469805
Label
Models of science dynamics : encounters between complexity theory and information sciences, [editors] Andrea Scharnhorst, Katy Börner, Peter van den Besselaar, (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Part I Foundations -- An Introduction to Modeling Science: Basic Model Types, Key Definitions, and a General Framework for the Comparison of Process Models -- Mathematical Approaches to Modeling Science From an Algorithmic-historiography Perspectice -- Part II Exemplary Model Type -- Knowledge Epidemics and Population Dynamics Models for Describing Idea Diffusion -- Agent-based Models of Science -- Evolutionary Game Theory and Complex Networks of Scientific Information -- Part III Exemplary Model Applications -- Dynamic Scientific Co-authorship Networks -- Citation Networks -- Part IV Outlook -- Science Policy and the Challenges for Modeling Science -- Index
Dimensions
unknown
Extent
1 online resource (xxx, 269 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642230684
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-642-23068-4
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)775469805
  • (OCoLC)ocn775469805

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