inFRank: a ranking-based identification of influential genes in biological networks

X Cui, X Li, J Li, X Wang, W Sun, Z Cheng, J Ding… - …, 2016‏ - pmc.ncbi.nlm.nih.gov
Capturing the predominant driver genes is critical in the analysis of high-throughput
experimental data; however, existing methods scarcely include the unique characters of …

Information fusion-based approach for studying influence on Twitter using belief theory

L Azaza, S Kirgizov, M Savonnet, É Leclercq… - Computational social …, 2016‏ - Springer
Influence in Twitter has become recently a hot research topic, since this micro-blogging
service is widely used to share and disseminate information. Some users are more able than …

Identifying important nodes in bio-molecular networks

J Lü, P Wang, J Lü, P Wang - Modeling and Analysis of Bio-molecular …, 2020‏ - Springer
Many issues in bio-molecular networks can be boiled down to the identification of important
nodes or gene prioritization. Various measures have been proposed to characterize the …

Research on mining key nodes of complex web-based communities based on mining algorithm

Y He, T Wang, J **e, M Zhang - International Journal of …, 2020‏ - inderscienceonline.com
Mining key nodes in complex web-based communities is of great value for controlling
network public opinion and maintaining network safety. This paper introduced two mining …

Exploiting spatial heterogeneity and response characterization in non-uniform architected materials inspired by slime mould growth

C Ma, D Zhang, Z Zhang, H Zhang… - Bioinspiration & …, 2019‏ - iopscience.iop.org
Inspired by shape-shifting features of slime mould growth, we implement a computational
algorithm to study the nutrient-induced pattern formation and transition of slime mould. We …

Nature-inspired approaches for social network security

I Valsaladevi, SM Thampi - 2019‏ - IET
This chapter outlines the state-of-the-art nature-inspired techniques for addressing the
different security issues prevailing in social networks, their open challenges and future …