Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

Abstract

This study proposes an approach for visualizing a knowledge structure, the proposed approach creates a three-dimensional ''Research focused parallelship network'', a ''Keyword Co-occurrence Network'', and a two-dimensional knowledge map to facilitate visualization of the knowledge structure created by journal papers from different perspectives. The networks and knowledge maps can be depicted differently by choosing different information as the network actor, e.g. author, institute or country keyword, to reflect knowledge structures in micro-, meso-, and macro-levels, respectively. Technology Foresight is selected as an example to illustrate the method proposed in this study. A total of 556 author keywords contained in 181 Technology Foresight related papers have been analyzed. European countries, China, India and Brazil are located at the core of Technology Foresight research. Quantitative ways of mapping journal papers are investigated in this study to unveil emerging elements as well as to demonstrate dynamics and visualization of knowledge. The quantitative method provided in this paper shows a possible way of visualizing and evaluating knowledge structure; thus a computerized calculation is possible for potential quantitative applications, e.g. R&D resource allocation, research performance evaluation, science map, etc.

Product and process innovation in manufacturing firms: a 30-year bibliometric analysis

“…Further analysis for mapping the specific research area is based on author keywords that appeared in at least two papers. The usage of keywords is accepted by the literature and successfully applied also to other research areas (Su and Lee, 2010;Yoon et al, 2010;Chang et al, 2015;Khan and Wood, 2015). After this, each selected paper is given a binary value (0, 1) for each descriptor.…”

“…For example, if a journal is in the first quadrant it does not necessarily have the same keywords shown in the first quadrant of keyword's proximity map. According to the literature (Su and Lee, 2010;Yoon et al, 2010;Chang et al, 2015;Khan and Wood, 2015), the keywords included in our analysis are summarized in Table 4. In the journal positioning map we include the most repeated words given by authors with a total number of fifteen or more appearances.…”

Mapeo del campo de conocimiento en intenciones emprendedoras mediante el análisis de redes sociales de conocimiento

“…Esto hace posible encontrar patrones no evidentes, útiles para el avance de las investigaciones y el desarrollo científico [15], e incluso, para entender el pasado, la evolución del conocimiento, su estructura y potencialmente entender las tendencias futuras [17].…”

“…Construcción de la estructura de red y cálculo de la red central La red de las palabras clave se basa en correlaciones. Una correlación se presenta como un "lazo de la red" [17]. Para generar los vínculos de la red se proponen dos métodos:…”

“…Este modelo fue utilizado para la construcción de la red de autores y redes de centros de investigación con base en un análisis desde el macro nivel [17].…”