Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature.

ABSTRACT: Systematic reviews of scientific literature are important for mapping the existing state of research and highlighting further growth channels in a field of study, but systematic reviews are inherently tedious, time consuming, and manual in nature. In recent years, keyword co-occurrence networks (KCNs) are exploited for knowledge mapping. In a KCN, each keyword is represented as a node and each co-occurrence of a pair of words is represented as a link. The number of times that a pair of words co-occurs in multiple articles constitutes the weight of the link connecting the pair. The network constructed in this manner represents cumulative knowledge of a domain and helps to uncover meaningful knowledge components and insights based on the patterns and strength of links between keywords that a

SUBMITTER: Radhakrishnan S 

PROVIDER: S-EPMC5362196 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature