Centrality Metrics for Complex Network Analysis
Emerging Research and Opportunities
Nonfiction, Computers, Advanced Computing, Engineering, Computer Architecture, Networking & Communications, General Computing
| Author: | Natarajan Meghanathan | ISBN: | 9781522538042 |
| Publisher: | IGI Global | Publication: | April 5, 2018 |
| Imprint: | Information Science Reference | Language: | English |
| Author: | Natarajan Meghanathan |
| ISBN: | 9781522538042 |
| Publisher: | IGI Global |
| Publication: | April 5, 2018 |
| Imprint: | Information Science Reference |
| Language: | English |
As network science and technology continues to gain popularity, it becomes imperative to develop procedures to examine emergent network domains, as well as classical networks, to help ensure their overall optimization. Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on centrality metrics and their broader applications for different categories of networks including wireless sensor networks, curriculum networks, social networks etc. Featuring extensive coverage on relevant areas, such as complex network graphs, node centrality metrics, and mobile sensor networks, this publication is an ideal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.
As network science and technology continues to gain popularity, it becomes imperative to develop procedures to examine emergent network domains, as well as classical networks, to help ensure their overall optimization. Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on centrality metrics and their broader applications for different categories of networks including wireless sensor networks, curriculum networks, social networks etc. Featuring extensive coverage on relevant areas, such as complex network graphs, node centrality metrics, and mobile sensor networks, this publication is an ideal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.
