Scientific Collaboration Networks of the Academic Brazilian Community of HCI

被引:1
|
作者
de Mendonca, Felipe Ciacia [1 ]
Gasparini, Isabela [2 ]
Schroeder, Rebeca [3 ]
Silveira, Milene Selbach [4 ]
Junqueira Barbosa, Simone Diniz [5 ]
机构
[1] UDESC, PPGCA, Joinville, SC, Brazil
[2] UDESC, Dept Ciencia Comp, PPGCA, Joinville, SC, Brazil
[3] UDESC, Dept Ciencia Comp, Joinville, SC, Brazil
[4] Pontificia Univ Catolica Rio Grande do Sul, Escola Politecn, Porto Alegre, RS, Brazil
[5] Pontificia Univ Catolica Rio de Janeiro, Dept Informat, Rio de Janeiro, RJ, Brazil
关键词
IHC; Scientific Collaboration Networks; Social Network Analysis; Data Mining; Bibliometric Analysis; SOCIAL NETWORK;
D O I
10.1145/3274192.3274228
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Social networks enable the creation of specific groups and communities such as scientific collaboration networks, which are composed of their authors, who in turn are connected through their publications. This work generated the networks of scientific collaboration of the Brazilian Community of Human-Computer Interaction analyzing the most prolific authors of the Brazilian Symposia on Human Factors in Computing Systems (IHC). First an extraction tool was developed in order to collect data from Lattes Platform. After the process of preparation, data modeling based on classification techniques, cleaning and standardization of data mining techniques were used. Finally, scientific collaboration networks were generated and analyzed through the bibliometric analysis and social network analysis techniques. The results show IHC community network in relation to its patterns and relationships. These data can help researchers get insights and increase collaboration among their peers.
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页数:11
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