In this study, we used the approach of topic modeling to uncover the possible structure of research topics in the field of Informetrics, to explore the distribution of the topics over years, and to compare the core journals. In order to infer the structure of the topics in the field, the data of the papers published in the Journal of Informetricsand Scientometrics during 2007 to 2013 are retrieved from the database of the Web of Science as input of the approach of topic modeling. The results of this study show that when the number of topics was set to 10, the topic model has the smallest perplexity. Although data scopes and analysis methodsare different to previous studies, the generating topics of this study are consistent with those resul...
In informetrics, journals have been used as a standard unit to analyze research impact, productivity...
Abstract Background Bioinformatics is an interdisciplinary field at the intersection of molecular bi...
This chapter presents a method for analyzing text data called topic modeling and applying it to the ...
This study investigates the evolution of information science research based on bibliometric analysis...
Topic models are a well known clustering approach for textual data, which provides promising applica...
This study aims to identify specific topics, trends, and structural characteristics of scholarly com...
This paper addresses the problem of scientific research analysis. We use the topic model Latent Diri...
This dissertation examines the complex structure of scientific organization and publication behavior...
This article surveys topic distributions of the academic literature that employs the terms bibliomet...
ii Topic Maps is an international standard (ISO/IEC 13250) to describe and encode knowledge structur...
Researchers and journal managers need summary information, such as research maps and trends. Topic a...
What are the fundamental research questions in Information Systems? How do various research topics r...
The outcomes of both experiments suggest that topics derived from purely textual data implicitly cap...
Considerable interest has been devoted in recent years to the quantitative study of the scientific l...
Considerable interest has been devoted in recent years to the quantitative study of the scientific l...
In informetrics, journals have been used as a standard unit to analyze research impact, productivity...
Abstract Background Bioinformatics is an interdisciplinary field at the intersection of molecular bi...
This chapter presents a method for analyzing text data called topic modeling and applying it to the ...
This study investigates the evolution of information science research based on bibliometric analysis...
Topic models are a well known clustering approach for textual data, which provides promising applica...
This study aims to identify specific topics, trends, and structural characteristics of scholarly com...
This paper addresses the problem of scientific research analysis. We use the topic model Latent Diri...
This dissertation examines the complex structure of scientific organization and publication behavior...
This article surveys topic distributions of the academic literature that employs the terms bibliomet...
ii Topic Maps is an international standard (ISO/IEC 13250) to describe and encode knowledge structur...
Researchers and journal managers need summary information, such as research maps and trends. Topic a...
What are the fundamental research questions in Information Systems? How do various research topics r...
The outcomes of both experiments suggest that topics derived from purely textual data implicitly cap...
Considerable interest has been devoted in recent years to the quantitative study of the scientific l...
Considerable interest has been devoted in recent years to the quantitative study of the scientific l...
In informetrics, journals have been used as a standard unit to analyze research impact, productivity...
Abstract Background Bioinformatics is an interdisciplinary field at the intersection of molecular bi...
This chapter presents a method for analyzing text data called topic modeling and applying it to the ...