Discovering the research front of a specific topic remains a significant challenge for researchers in all scientific areas. Over the last decade, burst term detection (BTD) in text streams has become a useful technique for bibliometrics and science mapping. It has been argued that analytical methods based on BTD can indicate certain facets of a research front. To integrate BTD into the framework of traditional co-word analysis, association rule mining between keywords and burst terms (ARM-KB) is introduced to enhance traditional co-word analysis and present a new facet of the research front for a field of science. Based on ARM-KB, possible connections between keywords and burst terms are built, which can facilitate the exploration of a research front from a three-dimensional perspective, through co-word analysis, burst term clues, and association rules. In the case study, the research fronts of anticancer based on nanomedicine (ABN) are explored. Based on theoretical and empirical analyses, ARM-KB can be used as a valuable new technique or a supplement to traditional bibliometrics in the exploration of scientific frontiers.
Description
Explore the research front of a specific research theme based on a novel technique of enhanced co-word analysis
%0 Journal Article
%1 li2016explore
%A Li, Munan
%A Chu, Yanqun
%D 2016
%J Journal of Information Science
%K co-word mapping
%R 10.1177/0165551516661914
%T Explore the research front of a specific research theme based on a novel technique of enhanced co-word analysis
%U http://jis.sagepub.com/content/early/2016/09/01/0165551516661914.abstract
%X Discovering the research front of a specific topic remains a significant challenge for researchers in all scientific areas. Over the last decade, burst term detection (BTD) in text streams has become a useful technique for bibliometrics and science mapping. It has been argued that analytical methods based on BTD can indicate certain facets of a research front. To integrate BTD into the framework of traditional co-word analysis, association rule mining between keywords and burst terms (ARM-KB) is introduced to enhance traditional co-word analysis and present a new facet of the research front for a field of science. Based on ARM-KB, possible connections between keywords and burst terms are built, which can facilitate the exploration of a research front from a three-dimensional perspective, through co-word analysis, burst term clues, and association rules. In the case study, the research fronts of anticancer based on nanomedicine (ABN) are explored. Based on theoretical and empirical analyses, ARM-KB can be used as a valuable new technique or a supplement to traditional bibliometrics in the exploration of scientific frontiers.
@article{li2016explore,
abstract = {Discovering the research front of a specific topic remains a significant challenge for researchers in all scientific areas. Over the last decade, burst term detection (BTD) in text streams has become a useful technique for bibliometrics and science mapping. It has been argued that analytical methods based on BTD can indicate certain facets of a research front. To integrate BTD into the framework of traditional co-word analysis, association rule mining between keywords and burst terms (ARM-KB) is introduced to enhance traditional co-word analysis and present a new facet of the research front for a field of science. Based on ARM-KB, possible connections between keywords and burst terms are built, which can facilitate the exploration of a research front from a three-dimensional perspective, through co-word analysis, burst term clues, and association rules. In the case study, the research fronts of anticancer based on nanomedicine (ABN) are explored. Based on theoretical and empirical analyses, ARM-KB can be used as a valuable new technique or a supplement to traditional bibliometrics in the exploration of scientific frontiers.},
added-at = {2016-09-05T09:59:25.000+0200},
author = {Li, Munan and Chu, Yanqun},
biburl = {https://www.bibsonomy.org/bibtex/264dd892f65ff4990824b785110ac15f8/wdees},
description = {Explore the research front of a specific research theme based on a novel technique of enhanced co-word analysis},
doi = {10.1177/0165551516661914},
eprint = {http://jis.sagepub.com/content/early/2016/09/01/0165551516661914.full.pdf+html},
interhash = {e607b426221de704cae93c43ad2f1e27},
intrahash = {64dd892f65ff4990824b785110ac15f8},
journal = {Journal of Information Science},
keywords = {co-word mapping},
timestamp = {2016-09-05T09:59:25.000+0200},
title = {Explore the research front of a specific research theme based on a novel technique of enhanced co-word analysis},
url = {http://jis.sagepub.com/content/early/2016/09/01/0165551516661914.abstract},
year = 2016
}