Change Management in Graph Analytics for Network Analysis and Visualization

Authors

  • Dr. Elena Ferrari Professor of Information Engineering, University of Florence, Italy Author

Keywords:

Graph Analytics, Network Analysis

Abstract

Change management is crucial for effectively implementing graph analytics techniques in analyzing network data, which reveals complex relationships between entities. This paper explores various graph analytics methods that enhance network analysis and visualization, emphasizing their role in facilitating organizational adaptation to new data-driven strategies. We discuss the significance of graph analytics in understanding network structures, identifying key nodes, and detecting communities. Additionally, we examine visualization methods that improve the comprehension of network data, thereby aiding in decision-making processes. Through this paper, we provide a comprehensive overview of graph analytics in network analysis and visualization, highlighting their importance and applications across diverse domains while underscoring the need for change management in adopting these innovative techniques.

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Published

21-02-2024

How to Cite

[1]
Dr. Elena Ferrari, “Change Management in Graph Analytics for Network Analysis and Visualization”, Distrib Learn Broad Appl Sci Res, vol. 10, pp. 79–90, Feb. 2024, Accessed: Dec. 22, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/74

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