2018
DOI: 10.1016/j.physa.2018.08.002
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The structure of word co-occurrence network for microblogs

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Cited by 35 publications
(28 citation statements)
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“…To explore the indicators, this study collected the word co-occurrence through CiteSpace software package. The word co-occurrence analysis is a helpful method to analyze the language in previous studies [28,29]. The Citespace was developed by Chaomei Chen, Drexel University, to analyze the trends of the research.…”
Section: Methodsmentioning
confidence: 99%
“…To explore the indicators, this study collected the word co-occurrence through CiteSpace software package. The word co-occurrence analysis is a helpful method to analyze the language in previous studies [28,29]. The Citespace was developed by Chaomei Chen, Drexel University, to analyze the trends of the research.…”
Section: Methodsmentioning
confidence: 99%
“…4 . However, if sliding window is set as 2, it becomes word-adjacency graph where two terms are connected only if they are adjacent to each other Garg and Kumar ( 2018a ) as shown in Fig. 3 .…”
Section: The Graph Of Words Representationmentioning
confidence: 99%
“…( 2010 ), Bougouin et al. ( 2013 ), event detection Garg and Kumar ( 2018a ), and indexing, to name a few. Indirectly, keyword extraction is applicable to industrial applications like automatic question-answering machine, spam detection, rumours detection, false information detection, reputation analysis, sentiment analysis and many more.…”
Section: Introductionmentioning
confidence: 99%
“…Hierarchical organization is an organizational structure where every entity in the organization, except one, is subordinate to a single other entity [29]. Hierarchical network represents the connectivity among nodes of the real world network.…”
Section: Hierarchical Organization Featurementioning
confidence: 99%