Network analysis as a method of assessing terms in a dataset comprising eating disorders

  • Authors

    • Dr Adimulam Yesu Babu
    • Dr Deepak Nedunuri
    • T Venkata Sai Krishna
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.11079
  • Eating disorder, R programming, Term matrix, Word cloud, Clustering, Network analysis

  • Abstract

    Eating disorders are central reason of physical and psycho-social morbidity. Several factors have been identified as being associated with the prevalence and progression of eating disorders in humans. Scientific investigation was carried out to assess the usage of terms in manuscript titles of nearly 900 published articles followed by network analysis and network centralities using R programming. The tm package, term document matrix function was utilized to create a term document matrix (TDM) from the corpus. A binary word matrix comprising 17 terms was created based on higher probability of occurring a term in a column. An agglomerative hierarchical clustering technique using ward clustering algorithm was presented. A data frame from the TDM was created to store data and used to plot word cloud based on word frequencies. An undirected network graph was plotted based on terms that appeared in the term matrix. Centralization measures such as Degree centrality, Closeness, Eigenvector and betweenness Centrality were reported.

     

     

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  • How to Cite

    Adimulam Yesu Babu, D., Deepak Nedunuri, D., & Venkata Sai Krishna, T. (2018). Network analysis as a method of assessing terms in a dataset comprising eating disorders. International Journal of Engineering & Technology, 7(2.7), 841-847. https://doi.org/10.14419/ijet.v7i2.7.11079

    Received date: 2018-04-05

    Accepted date: 2018-04-05

    Published date: 2018-03-18