An overview of modeling and simulation using content analysis

Saikou Y. Diallo (), Ross J. Gore (), Jose J. Padilla () and Christopher J. Lynch ()
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Saikou Y. Diallo: Old Dominion University
Ross J. Gore: Old Dominion University
Jose J. Padilla: Old Dominion University
Christopher J. Lynch: Old Dominion University

Scientometrics, 2015, vol. 103, issue 3, No 10, 977-1002

Abstract: Abstract Over the past six decades, Modeling and Simulation (M&S) has been used as a method or tool in many disciplines. While there is no doubt that the emergence of modern M&S is highly connected with that of Computing and Systems science, there is no clear evidence of the contribution of M&S to those disciplines. Further, while there is a growing body of knowledge (BoK) in M&S, there is no easy way to identify it due to the multidisciplinary nature of M&S. In this paper, we examine whether M&S is its own discipline by performing content analysis of a BoK in Computer Science. Content analysis is a research methodology that aims to identify key concepts and relationships in a body of text through computational means. It can be applied to research articles in a BoK to identify the prominent topics and themes. It can also be used to explore the evolution of a BoK over time or to identify the contribution of one BoK to another. The contribution of this paper is twofold; (1) the establishment of M&S as its own discipline and the examination of its relationship with the sister disciplines of Computer Science and Systems Engineering over the last 60 years and (2) the examination of the contribution of M&S to the sciences as represented in the Public Library of Science.

Keywords: Modeling and Simulation (M&S); Content analysis; Simulation research; Association for Computing Machinery (ACM); 00B99 (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11192-015-1578-6

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