نتایج جستجو برای: Co-word analysis

تعداد نتایج: 3172110  

Purpose: This study aimed at the identification and analyzes of “Knowledge and Information Science (KIS)” scientific articles structure using co-word analysis in the “Web of Science (WoS)” database (1993-1997 & 2009-2013). By co-word analysis of the KIS articles, subjects and concepts of KIS were identified. Methodology: This study has based on descriptive and functional approach and on co-wor...

Faramarz Soheili Hamid Maleki Mahmoud Ekrami, Somaye Rajabzade,

Background: Co- word analysis is one of the content analysis methods used in scientometric studies and mapping the scientific structure of various fields. The purpose of the present research is to map the structure of distance education using the co-word analysis. Methods: The research method is content analysis using co- word analysis. The research population are 31607 documents indexed in the...

Introduction: The Co-word analysis has the ability to identify the intellectual structure of knowledge ‎in a research domain and reveal its subsurface research aspects.‎ Objective: This study examines the intellectual structure of knowledge in the field of nanomedicine ‎during the period of 2009 to 2018 by using Co-word analysis.‎ Materials and Methods: This paper develops a sciento...

Purpose: The purpose of the present study is to visualize HPV clusters’ relationships and thematic trends in the world. Methodology: The research type is an applied one with analytical approach and it has been done using co-word analysis. The population of this study consists of articles’ keywords indexed during 2014-2018 in the Web of Science (WoS) in HPV subject area. The total numbers of th...

Background and Aim: The intellectual structure of knowledge and its research front can be identified by co-word analysis. This research attempts to reveal the intellectual structure of knowledge in information behavior inquiries, via co-word, network analysis, and science visualization tools. Methods: Bibliometric methodology and social network analysis are used. Population comprises 2146 recor...

Introduction: Social network analysis is an analytical method based on graph theories that identifies relationships between individuals or factors to analyze the social structures resulted from those relationships. The objective of this study was to analyze co-authorship and co-word networks based on scientometric indicators and centrality measures in the studies on multiple atrophy system dise...

Introduction: Social network analysis is an analytical method based on graph theories that identifies relationships between individuals or factors to analyze the social structures resulted from those relationships. The objective of this study was to analyze co-authorship and co-word networks based on scientometric indicators and centrality measures in the studies on multiple atrophy system dise...

Journal: :JASIST 2012
Andreas Strotmann Dangzhi Zhao

In this paper, we explore how strongly author name disambiguation (AND) affects the results of an author-based citation analysis study, and identify conditions under which the commonly used simplified approach of using surnames and first initials may suffice in practice. We compare author citation ranking and co-citation mapping results in the stem cell research field 2004-2009 between two AND ...

ژورنال: پیاورد سلامت 2019
امامی, مریم, ریاحی نیا, نصرت, سهیلی, فرامرز,

Background and Aim: The purpose of this study was to analyze the co-occurrence of the terms of medical and laboratory equipment patents in the United States Patent and Trademark Office between 1984 and 2014. Materials and Methods: This research was an applied study using scientometrics and co-word analyses. The statistical population of the present study included all patents of medical and lab...

2013
Dehong Gao Furu Wei Wenjie Li Xiaohua Liu Ming Zhou

In this paper, we address the issue of bilingual sentiment lexicon learning(BSLL) which aims to automatically and simultaneously generate sentiment words for two languages. The underlying motivation is that sentiment information from two languages can perform iterative mutual-teaching in the learning procedure. We propose to develop two classifiers to determine the sentiment polarities of words...

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