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@article{Deng2020,

title = {Exploring the topic structure and evolution of associations in information behavior research through co-word analysis},

author = {Shengli Deng and Sudi Xia and Jiming Hu and Hongxiu Li and Yong Liu },

doi = {https://doi.org/10.1177/0961000620938120},

year  = {2020},

date = {2020-07-01},

urldate = {2020-07-01},

journal = {Journal of Librarianship and Information Science},

abstract = {This study aims to reveal the distribution of topics, and the associations among them, in information behavior research from 2009 to 2018. Working with a collection of 6744 publications from the Web of Science database, co-word analysis is used to investigate the overall topic structure, the associations among the topics, and their evolution in different years, which is supplemented by visualization with science maps. The results uncovered an unbalanced distribution of topics, and that the topics cluster into six communities representing subdivisions of this field: information behavior in patient-centered studies; information interaction in the digital environment; information literacy in health and academic contexts; health literacy on the Internet; information behavior in child-centered studies; and information behavior in medical informatics. The findings supplement and provide refinements to work on the state of this field, and help researchers obtain an overview of the past decade to guide their future work.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Deng2020b,

title = {Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co‐occurrence analysis},

author = {Shengli Deng and Sudi Xia},

doi = {https://doi.org/10.1007/s11192-020-03465-x},

year  = {2020},

date = {2020-04-11},

urldate = {2020-04-11},

abstract = {Information behavior research is an interdisciplinary field in essence due to the investiga- tion of interdisciplinary in previous work. To track the changes in interdisciplinarity of this field, more efforts should be put on basis of previous work. Based on publications searched from Web of Science from 2000 to 2018, we explored the interdisciplinarity of this field drawing on network analysis and diversity measure. Findings showed that although variety of disciplines in this field augmented significantly, the distribution of disciplines is unbal- anced and concentrated on some dominant disciplines such as computer science, engineer- ing, psychology, social science and medicine, etc. Relationships among disciplines have evolved over time and mainly focused on neighboring disciplines instead of distinct disci- plines. Computer science, engineering, psychology, health science and social science func- tion as intermediate disciplines connecting distinct disciplinary groups. Besides, the meas- urement using diversity measure shows that interdisciplinary degree of this field appears to decrease. This study contributes to the evolution and measurement of interdisciplinarity of information behavior research, which has implications for researchers and practitioners in this field.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}