Co-citation forms a relational document network. Co-citation-based measures are found to be effective in retrieving relevant documents. However, they are far from ideal and need further enhancements. Co-opinion concept was proposed and tested in previous research and found to be effective in retrieving relevant documents. The present study endeavors to explore the correlation between opinion (dis)similarity measures and the traditional co-citation-based ones including Citation Proximity Index (CPI), co-citedness and co-citation context similarity. The results show significant, though weak to medium, correlations between the variables. The correlations are direct for co-opinion measure, while being inverse for the opinion distance. According...
Scholarly outputs are growing in number and frequency, driving the requirement to research new early...
This paper analyzes the effects of the co-authorship and bibliographic coupling networks on the cita...
Average differences in the share of male-authored citing papers across different similarity levels. ...
This study proposed a novel author similarity measure in author co-citation analysis (ACA). Unlike o...
In this paper, we build on the idea of Citation Proximity Analysis (CPA), originally introduced in [...
This study aims to present and analyze Pearson Correlation Coefficient (r) and Salton's Cosine (CS) ...
Pearson\u27s r has been used as similarity measure in author co-citation analysis since the introduc...
Co-citation analysis is one of the most important methods in information science. Journal co-citatio...
This article gives an overview of co-citation analysis and its applications in tracking the linkages...
Visualization of author or document influence networks as a two-dimensional image can provide key in...
Journal of the American Society for Information Science and Technology [JASIST] (forthcoming)To be p...
This paper presents an approach for identifying similar documents that can be used to assist scienti...
This paper presents an approach for identifying similar documents that can be used to assist scienti...
One of the main applications of citation is to find articles that are relevant to a particular artic...
textabstractWe provide a number of new insights into the methodological discussion about author coci...
Scholarly outputs are growing in number and frequency, driving the requirement to research new early...
This paper analyzes the effects of the co-authorship and bibliographic coupling networks on the cita...
Average differences in the share of male-authored citing papers across different similarity levels. ...
This study proposed a novel author similarity measure in author co-citation analysis (ACA). Unlike o...
In this paper, we build on the idea of Citation Proximity Analysis (CPA), originally introduced in [...
This study aims to present and analyze Pearson Correlation Coefficient (r) and Salton's Cosine (CS) ...
Pearson\u27s r has been used as similarity measure in author co-citation analysis since the introduc...
Co-citation analysis is one of the most important methods in information science. Journal co-citatio...
This article gives an overview of co-citation analysis and its applications in tracking the linkages...
Visualization of author or document influence networks as a two-dimensional image can provide key in...
Journal of the American Society for Information Science and Technology [JASIST] (forthcoming)To be p...
This paper presents an approach for identifying similar documents that can be used to assist scienti...
This paper presents an approach for identifying similar documents that can be used to assist scienti...
One of the main applications of citation is to find articles that are relevant to a particular artic...
textabstractWe provide a number of new insights into the methodological discussion about author coci...
Scholarly outputs are growing in number and frequency, driving the requirement to research new early...
This paper analyzes the effects of the co-authorship and bibliographic coupling networks on the cita...
Average differences in the share of male-authored citing papers across different similarity levels. ...