Identifying propagation sources in networks: State-of-the-art and comparative studies
It has long been a significant but difficult problem to identify propagation sources based on
limited knowledge of network structures and the varying states of network nodes. In practice …
limited knowledge of network structures and the varying states of network nodes. In practice …
Machine learning aided design and optimization of thermal metamaterials
Artificial Intelligence (AI) has advanced material research that were previously intractable,
for example, the machine learning (ML) has been able to predict some unprecedented …
for example, the machine learning (ML) has been able to predict some unprecedented …
Predicting the sources of an outbreak with a spectral technique
V Fioriti, M Chinnici - arxiv preprint arxiv:1211.2333, 2012 - arxiv.org
The epidemic spreading of a disease can be described by a contact network whose nodes
are persons or centers of contagion and links heterogeneous relations among them. We …
are persons or centers of contagion and links heterogeneous relations among them. We …
K-center: An approach on the multi-source identification of information diffusion
The global diffusion of epidemics, computer viruses, and rumors causes great damage to
our society. It is critical to identify the diffusion sources and timely quarantine them. However …
our society. It is critical to identify the diffusion sources and timely quarantine them. However …
Phase transition in the recoverability of network history
Network growth processes can be understood as generative models of the structure and
history of complex networks. This point of view naturally leads to the problem of network …
history of complex networks. This point of view naturally leads to the problem of network …
Link prediction in real-world multiplex networks via layer reconstruction method
Networks are invaluable tools to study real biological, social and technological complex
systems in which connected elements form a purposeful phenomenon. A higher resolution …
systems in which connected elements form a purposeful phenomenon. A higher resolution …
[PDF][PDF] Node seniority ranking in networks
V Fioriti, M Chinnici - Studies in Informatics and Control, 2017 - researchgate.net
Current advances in graph theory suggest that it may be possible to identify the oldest nodes
of a network by using the graph topology alone. In this paper, applications of graph topology …
of a network by using the graph topology alone. In this paper, applications of graph topology …
Simulated evolution of protein-protein interaction networks with realistic topology
We model the evolution of eukaryotic protein-protein interaction (PPI) networks. In our
model, PPI networks evolve by two known biological mechanisms:(1) Gene duplication …
model, PPI networks evolve by two known biological mechanisms:(1) Gene duplication …
[PDF][PDF] Network archaeology: phase transition in the recoverability of network history
Network growth processes can be understood as generative models of the structure and
history of complex networks. This point of view naturally leads to the problem of network …
history of complex networks. This point of view naturally leads to the problem of network …
Anisotropies of elasticity and thermal conductivity in some novel superhard materials
J Ao, Q Hui, C Li, F Li, Z Chen - Computational materials science, 2014 - Elsevier
The first principles calculations based on density functional theory are performed to
investigate the anisotropies of four superhard materials (w-BN, w-BC 2 N, r3m-BC 2 N, and …
investigate the anisotropies of four superhard materials (w-BN, w-BC 2 N, r3m-BC 2 N, and …