Dynamics of Information Systems: Algorithmic Approaches

  • Alexey Sorokin
  • Panos M. Pardalos
Conference proceedings

DOI: 10.1007/978-1-4614-7582-8

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 51)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Habib Abdulrab, Eduard Babkin, Jeremie Doucy
    Pages 67-98
  3. Shantih M. Spanton, Joseph Geunes
    Pages 99-120
  4. Khanh D. Pham, Meir Pachter
    Pages 121-145
  5. Meir Pachter, Khanh Pham
    Pages 147-175
  6. Maciej Rysz, Pavlo A. Krokhmal, Eduardo L. Pasiliao
    Pages 251-267
  7. Sibel B. Sonuç, J. Cole Smith
    Pages 269-289
  8. Lidong Wu, Weili Wu, Kai Xing, Panos M. Pardalos, Eugene Maslov, Ding-Zhu Du
    Pages 291-303
  9. Lidan Fan, Weili Wu, Zaixin Lu, Wen Xu, Ding-Zhu Du
    Pages 305-325

About these proceedings

Introduction

Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20–22, 2012. The purpose of this conference was to bring together scientists and engineers from industry, government, and universities to exchange knowledge and results in a broad range of topics relevant to the theory and practice of the dynamics of information systems. Dynamics of Information plays an increasingly critical role in our society. The influence of information on social, biological, genetic, and military systems must be better understood to achieve large advances in the capability and understanding of these systems. Applications are widespread and include: detection of terrorist networks, design of highly efficient businesses, computer networks, quantum entanglement, genome modeling, multi-robotic systems, and industrial and manufacturing safety.

The book contains state-of-the-art work on theory and practice relevant to the dynamics of information systems. It covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers; presents important problems arising in service-oriented systems, such as dynamic composition and analysis of modern service-oriented information systems and estimation of customer service times on a rail network from GPS data; addresses the complexity of the problems arising in stochastic and distributed systems; and discusses modulating communication for improving multi-agent learning convergence. Network issues—in particular minimum-risk maximum-clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning—are described in later chapters.

Keywords

communication and network systems dynamics of information systems information systems information systems management information systems military

Editors and affiliations

  • Alexey Sorokin
    • 1
  • Panos M. Pardalos
    • 2
  1. 1.Innovative Scheduling, Inc.GainesvilleUSA
  2. 2.Department of Industrial and Systems EngUniversity of FloridaGainesvilleUSA

Bibliographic information

  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-7581-1
  • Online ISBN 978-1-4614-7582-8
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017