Investigating nanomaterial toxicity bibliography: A network analysis approach

Hui Yang, Soundar Kumara, Kaizhi Tang, Xiong Liu, Zheng Chen, Roger Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The selection and prioritization of research directions are always challenges. This paper aims to make sense of nanomaterial toxicity publication and keywords data through quantitative metrics and network visualization. We have adapted a combined approach of network analysis, cooccurrence analysis, clustering analysis and visual analytics, to characterize important relational properties of network structures and features of entities. The results show that both co-authorship network and keywords network on nanomaterial toxicity follow the power-law degree distribution. In addition, the co-authorship network appears to be of scale-free pattern. We also investigate and visualize the research trends in field of nanomaterial toxicity by studying top influence researchers and keywords over years. These findings offer researchers various insights of the patterns and trends in the nanomaterial toxicity.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
Pages37-42
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 - Shanghai, China
Duration: Dec 18 2013Dec 21 2013

Publication series

NameProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013

Other

Other2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
CountryChina
CityShanghai
Period12/18/1312/21/13

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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