Efficient network disruption under imperfect information: The sharpening effect of network reconstruction with no prior knowledge

B Ren, Y Zhang, J Chen, L Shen - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
The problem of network disruption has attracted widespread interests, for it currently
appears in a myriad of contexts. However, existing methods require assuming that complete …

Fast detection of the fuzzy communities based on leader-driven algorithm

C Fang, D Mu, Z Deng, J Hu, CH Yi - International Journal of Modern …, 2018 - World Scientific
In this paper, we present the leader-driven algorithm (LDA) for learning community structure
in networks. The algorithm allows one to find overlapping clusters in a network, an important …

Situation analysis of relationship in social networks based on link entropy

K Li, HJ Li, H Wang - Modern Physics Letters B, 2015 - World Scientific
Since the existence of certain and uncertain characteristics of the relationships between
nodes in social network, the study of social features is expanded by combining the set pair …

Uncovering the community structure in signed social networks based on greedy optimization

Y Chen, J Yan, Y Yang, J Chen - Modern Physics Letters B, 2017 - World Scientific
The formality of signed relationships has been recently adopted in a lot of complicated
systems. The relations among these entities are complicated and multifarious. We cannot …

Refinement of the community detection performance by weighted relationship coupling

D Min, K Yu, HJ Li - Pramana, 2017 - Springer
The complexity of many community detection algorithms is usually an exponential function
with the scale which hard to uncover community structure with high speed. Inspired by the …

A noise reduction method for semi-supervised community detection based on harmonic function

L Fan, K Song, D Liu - International Journal of Modern Physics B, 2018 - World Scientific
Semi-supervised community detection is an important research topic in the field of complex
network, which incorporates prior knowledge and topology to guide the community detection …

The comparison of significance of fuzzy community partition across optimization methods

HJ Li - Journal of Intelligent & Fuzzy Systems, 2015 - content.iospress.com
The analysis of fuzzy (overlapping) community structure in complex networks is an important
problem in data mining of network data sets. However, due to the exist of random factors and …

[PDF][PDF] Enhancing robustness of scale-free IoT networks against random and malicious attacks (MS Thesis without Source Codes)

M Usman - 2021 - researchgate.net
I Muhammad Usman (Registration No. CIIT/FA18-REE-016/ISB) hereby declare that I have
produced the work presented in this thesis, during the scheduled period of study. I also …

An improved global dynamic routing strategy for scale-free network with tunable clustering

L Sun, N Huang, Y Zhang, Y Bai - Modern Physics Letters B, 2016 - World Scientific
An efficient routing strategy can deliver packets quickly to improve the network capacity.
Node congestion and transmission path length are inevitable real-time factors for a good …

Module dividing for brain functional networks by employing betweenness efficiency

Z Jiao, M Cai, X Ming, Y Cao, L Zou… - Multimedia Tools and …, 2020 - Springer
Traditional researches assume that brain functional networks are static during the entire
scanning process of functional magnetic resonance image (fMRI) in the resting state …