Network Analytics Enabled by Generating a Pool of Network Variants from Noisy Data

Network Analytics Enabled by Generating a Pool of Network Variants from Noisy Data

Mapping network nodes and edges to communities and network functions is crucial to gaining a higher level of understanding of the network structure and functions. Such mappings are particularly challenging to design for covert social networks, which intentionally hide their structure and functions t...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Aamir Mandviwalla, Amr Elsisy, Muhammad Saad Atique, Konstantin Kuzmin, Chris Gaiteri, Boleslaw K. Szymanski
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2023-07-01
Seri Bilgileri:Entropy
Konular:
functional and structural uncertainty
noisy data
covert networks
Bernoulli weighted random network generator
Online Erişim:https://www.mdpi.com/1099-4300/25/8/1118

Internet

https://www.mdpi.com/1099-4300/25/8/1118

Benzer Materyaller