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دسته بندی:
مدیریت دانش - knowledge management
سال انتشار:
2018
عنوان انگلیسی مقاله:
Ranking themes on co-word networks: Exploring the relationships among different metrics
ترجمه فارسی عنوان مقاله:
رتبه بندی تم ها در شبکه های همکاری کلمه: بررسی روابط بین معیارهای مختلف
منبع:
Sciencedirect - Elsevier - Information Processing and Management, 54 (2018) 203-218. doi:10.1016/j.ipm.2017.11.005
نویسنده:
Zhao Wanyinga, Mao Jina, Lu Kunb,*
چکیده انگلیسی:
As network analysis methods prevail, more metrics are applied to co-word networks to reveal hot
topics in a field. However, few studies have examined the relationships among these metrics. To
bridge this gap, this study explores the relationships among different ranking metrics, including
one frequency-based and six network-based metrics, in order to understand the impact of net
work structural features on ranking themes on co-word networks. We collected bibliographic
data from three disciplines from Web of Science (WoS), and generated 40 simulation networks
following the preferential attachment assumption. Correlation analysis on the empirical and si
mulated networks shows strong relationships among the metrics. Their relationships are con
sistent across disciplines. The metrics can be categorized into three groups according to the
strength of their correlations, where Degree Centrality, H-index, and Coreness are in one group,
Betweenness Centrality, Clustering Coefficient, and frequency in another, and Weighted
PageRank by itself. Regression analysis on the simulation networks reveals that network topology
properties, such as connectivity, sparsity, and aggregation, influence the relationships among
selected metrics. In addition, when comparing the top keywords ranked by the metrics in the
three disciplines, we found the metrics exhibit different discriminative capacity. Coreness and H
index may be better suited for categorizing keywords rather than ranking keywords. Findings
from this study contribute to a better understanding of the relationships among different metrics
and provide guidance for using them effectively in different contexts.
Keywords: Co-word analysis ، Network structure ، Frequency-based metrics ، Network-based metrics ، Co-word network simulation
قیمت: رایگان
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