Web-Based Visualization and Analysis Framework for Graph Data

被引：0

作者：

Senturk, Fatmana ^{[1
]}

Bilici, Mehmet Ali ^{[2
]}

Tanisman, Sezercan ^{[2
]}

Aytac, Vecdi ^{[2
]}

机构：

[1] Pamukkale Univ, Dept Comp Engn, Denizli, Turkiye

[2] Ege Univ, Dept Comp Engn, Izmir, Turkiye

来源：

SEMANTIC INTELLIGENCE, ISIC 2022 | 2023年 / 964卷

关键词：

BINDING NUMBER; ALGORITHM; CENTRALITY;

D O I：

10.1007/978-981-19-7126-6_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Graph theory has many applications in computer science. Graphs are involved in the mathematical modeling of problems belonging to very popular computer and data science, such as datamining, data clustering, computer network, image segmentation, etc. Graph theory is used in computer science to solve problems modeled as graphs. However, many applications do not have an interface that displays and edits graphs instantly. Moreover, these applications are not supported with a web interface. In this study, a web interface has been developed that support graph theory concepts, display more than one graph simultaneously, have a user-friendly interface, and include algorithms to analyze graphs. Also, we present a web service for these graph analyzing algorithms.

引用

页码：13 / 28

页数：16

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