A Review on Knowledge Map Visualization Using Co-Word Analysis

Abstract: Sociologie de 1’Innovation of the Ecole Nationale Superieure des Mines of Paris and the CNRS (Centre National de la Recherche Scientifique) of France and previously it was called “LEXIMAPPE”. For decades, scientists struggled to map the interrelations in a subject to realize an effective and efficient plan structure of research. Hence, to resolve this problem some quantitative methods were developed like co-citation analysis, co-word analysis, and co-nomination analysis. Co-word analysis is a bibliometric technique that measures the co-occurrences of keywords to examine the content in the textual data. This technique has proved to be a powerful tool among the scientists to quantify and visualize the relationships between the various subject areas within the corpus. This paper aims to outline a timeline review on development of co-word analysis and discuss the issues of the researches. It summarizes the current state of knowledge of the topic to create an understanding of the topic for the researchers by discussing the findings presented in recent research papers.

Keywords: Co-word analysis, Social Network Analysis, Co-occurrence Matrix, Strategic Diagram, Clustering. Multi- dimensional Scaling.