Artificial intelligence in cancer target identification and drug discovery

Y You, X Lai, Y Pan, H Zheng, J Vera, S Liu… - … and Targeted Therapy, 2022 - nature.com
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

Percolation on complex networks: Theory and application

M Li, RR Liu, L Lü, MB Hu, S Xu, YC Zhang - Physics reports, 2021 - Elsevier
In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

Influence maximization in social networks using graph embedding and graph neural network

S Kumar, A Mallik, A Khetarpal, BS Panda - Information Sciences, 2022 - Elsevier
With the boom in technologies and mobile networks in recent years, online social networks
have become an integral part of our daily lives. These virtual networks connect people …

The four dimensions of social network analysis: An overview of research methods, applications, and software tools

D Camacho, A Panizo-LLedot, G Bello-Orgaz… - Information …, 2020 - Elsevier
Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

Study on centrality measures in social networks: a survey

K Das, S Samanta, M Pal - Social network analysis and mining, 2018 - Springer
Social networks are absolutely a useful and important place for connecting people within the
world. A basic issue in a social network is to identify the key persons within it. This is why …

Vital nodes identification in complex networks

L Lü, D Chen, XL Ren, QM Zhang, YC Zhang, T Zhou - Physics reports, 2016 - Elsevier
Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

[Књига][B] The science and practice of resilience

I Linkov, BD Trump - 2019 - Springer
As a concept and disciplinary practice, resilience analysis has evolved rapidly within the
twenty-first century. This is driven in large part by the growing complexity in everyday …

Social media in times of crisis: Learning from Hurricane Harvey for the coronavirus disease 2019 pandemic response

M Mirbabaie, D Bunker, S Stieglitz… - Journal of …, 2020 - journals.sagepub.com
In recent times societal crises such as the coronavirus disease 2019 outbreak have given
rise to a tension between formal 'command and control'and informal social media activated …

Influence maximization in complex networks through optimal percolation

F Morone, HA Makse - Nature, 2015 - nature.com
The whole frame of interconnections in complex networks hinges on a specific set of
structural nodes, much smaller than the total size, which, if activated, would cause the …

Epidemic processes in complex networks

R Pastor-Satorras, C Castellano, P Van Mieghem… - Reviews of modern …, 2015 - APS
In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …