Complete bibliographic data, cluster assignments and combined citation network of emergency response operations research extant literature

J. P. Minas, N. C. Simpson, Z. Y. Tacheva

Research output: Contribution to journalArticlepeer-review

Abstract

The Emergency Response Operations Management (EROM) Literature Sample is a collection of 644 papers winnowed from over 5,000 related articles through application of a binary classification tree, collecting the state-of-the-art in decision models of emergencies in progress. References are scraped from each of these 644 publications, to create a dataset describing a total of 14,821 papers linked by 23,175 citation relationships, the analysis of which is presented in, “Modeling Emergency Response Operations: A Theory Building Survey” in Computers and Operations Research [1]. Bibliographic research communities are identified within the data set by framing the task of network partitioning as a cluster ensemble problem from machine learning [2]. This data may be used in several ways, including as an extended reference section for [1], as all 644 papers studied could not be individually cited there. Other examples of potential reuse are further study of a particular research cluster, comparative study of the structural characteristics of this bibliographic network with literature in other fields, and as a test-bed for the further development of robust clustering algorithms.

Original languageEnglish (US)
Article number105908
JournalData in Brief
Volume31
DOIs
StatePublished - Aug 2020

Keywords

  • Bibliographic network
  • Citation analysis
  • Disaster management
  • Edge file
  • Emergency response
  • Literature sample

ASJC Scopus subject areas

  • General

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