X-distribution: Retraceable Power-law Exponent of Complex Networks
Network modeling has been explored extensively by means of theoretical analysis as well
as numerical simulations for Network Reconstruction (NR). The network reconstruction …
as numerical simulations for Network Reconstruction (NR). The network reconstruction …
SISSRM: Sequentially Induced Signed Subnetwork Reconstruction Model For Generating Realistic Synthetic Signed Networks
Privacy is one of the major concerns in the availability of large-scale real-world network
datasets for various applications. Therefore, we require network models that can generate …
datasets for various applications. Therefore, we require network models that can generate …
Realistic Synthetic Signed Network Generation and Analysis
A Arya - Proceedings of the 33rd ACM International Conference …, 2024 - dl.acm.org
Designing and analyzing network science algorithms, such as node classification, link
prediction, and pattern identification (communities, triangles, dense sub-graphs, cliques) …
prediction, and pattern identification (communities, triangles, dense sub-graphs, cliques) …
[PDF][PDF] ra,., & Saxena,.(2024)
PK Pand - … : retraceable power-law exponent of complex … - scholarlypublications …
Networked systems are ubiquitous in nature, for example, transportation networks [6, 14],
social networks [13], biological networks [12], and communication networks [21, 22], which …
social networks [13], biological networks [12], and communication networks [21, 22], which …