چکیده:
Identifying scientific fields and examining their changes is of great importance. In this article, a time-based cumulative citation model is presented to investigate and analyze the scientific changes in the field of data quality. Features of this model include adaptability to other fields and the ability to display all scientific changes, including the birth, merging, failure, or death of a scientific field. The executive steps of this model are as follows: data preparation, extraction of the time-based citation model, discovery of scientific communities, connection of scientific communities, extraction of the change model, analysis of scientific changes. To examine the quality of the proposed model, all articles published between 1970 and 2009, including more than 7000 articles, were examined. Based on the time-based cumulative citation model, it was found that the field of data quality is being studied in various fields. Also, based on the conducted research, there is an 82% correlation between the number of citations and the growth of the data quality field, which indicates the importance of citations for the survival and growth of scientific fields.
خلاصه ماشینی:
In this article, by presenting a model based on time-based collective citations, the scientific changes in the field of data quality are investigated and analyzed.
Literature Review of Scientific Change Studies Topic and Innovation Type of Analysis Source Presenting a method based on the concept of "scientific thread" to identify emerging fields in Cluster analysis of network Small, Boyack & Klavans High-volume information Citations (2014) Presenting a model to investigate the emergence of research fields and another model for Cluster analysis of network Boyack, Klavans, Small & Determining the mechanism of cluster change through integration and failure Citations Ungar (2014) Explaining the concept of emergence from different perspectives and leveling the concept Alexander, Jais, Newman, - Emergence in systems and subsystems Porter & Rosner (2012) Explaining the mechanism of emergence of new research fields and presenting a model for Gu, Weingart & Börner Article count trend Emergence (2011) Presenting technology growth indicators based on different perspectives - Gassens et al.
(2010) Presenting a model for diagnosing emerging research fields in the field of security Network indicator analysis Lee (2008) Information based on network structure Categorizing types of key points in the network and examining temporal change trends Trend analysis Chen (2004) Presenting a model based on the concept of novelty of research and presenting novelty indicators Tu & Sung (2012) Novelty of research Presenting a model for analyzing research fields based on a dynamic network of words Text network analysis Wang, Cheng & Luo (2014) Research implementation process To achieve the main goal of the research based on presenting a model to discover scientific changes, the process shown in Figure 1 has been followed.
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