Robustness modularity in complex networks

Author: idtt

August undefined, 2024

WebJun 27, 2024 · In order to compare all the methods, we generate a set of LFR benchmark networks with varying modularity and size. Networks with modularity in the order of … WebOct 5, 2024 · Here we propose a new measure based on the concept of robustness: modularity is the probability to find trivial partitions when the structure of the network is …

Applied Sciences Free Full-Text Adaptive Robust RBF-NN …

WebFeb 12, 2015 · Complex networks are everywhere, such as the power grid network, the airline network, the protein-protein interaction network, and the road network. The … WebOct 5, 2024 · Here we propose a new measure based on the concept of robustness: modularity is the probability to find trivial partitions when the structure of the network is … ernest wallon toulouse

[2110.02297] Robustness modularity in complex networks

WebFeb 24, 2024 · Network theoretical approaches have repeatedly and robustly identified modularity as an important organizational feature of biological systems. Within a network … WebModularity optimization has been shown to be a very successful approach to the search of compartments (also called communities or modules) in a wide variety of complex networks ( 29 ). WebSep 19, 2013 · Particularly, complex networks provide significant insights into a system's robustness, either in a static [ 27–29] or dynamic [ 30–35] context. We focus here on a generic approach to improve network robustness and consider only the simple case of networks where all links have the same importance (unweighted) and no orientation … ernest walsh wikipedia

arXiv:2110.02297v1 [physics.soc-ph] 5 Oct 2024

Robustness modularity in complex networks Request …

Authors: Lena M. Saure (1), Niklas Kohlmann (2), Haoyi Qiu (1), Shwetha Shetty (3… WebMar 9, 2024 · Figure 1 is the visualization of an interbank network model that contains 100 banks with randomly generated dependencies. Two different visualization layouts show the same network: 1.(a) is the ... fine dining phnom penhWebFeb 12, 2015 · Complex networks are everywhere, such as the power grid network, the airline network, the protein-protein interaction network, and the road network. The networks are ‘robust yet fragile’, which means that the networks are robust against random failures but fragile under malicious attacks. ... In contrast to the robustness, the modularity of ... ernest walters obituary

"WebJun 11, 2024 · By generating more than 2000 system architectures, this paper shows that the relation between modularity and robustness is multifaceted: Modularity decreases topological robustness, increases robustness to change propagation, and provides economic benefits. " - Robustness modularity in complex networks

Robustness modularity in complex networks

Improving the Robustness of Complex Networks with Preserving …

WebBaldwin & Clark ( 2000) defined modularity as ‘a property of a system where the system can be divided into a different number of chunks called modules, which have strong intra-connections within the individual module and weak interconnections between modules’. WebMay 31, 2010 · Multi-scale modularity in complex networks. Abstract: We focus on the detection of communities in multi-scale networks, namely networks made of different …

Did you know?

WebApr 24, 2010 · It is first shown that methods based on modularity are not appropriate to uncover modules in empirical networks, mainly because modularity optimization has an intrinsic bias towards... WebFeb 11, 2024 · Robustness in complex networks is understood as the capacity of the network to keep most of the nodes together after a disturbance . In other words, robustness is a measure of the system’s ability to preserve a relatively normal behavior when a deliberate attack against a node or random failures occur. ... Networks with high …

WebMay 8, 2024 · Complex systems are usually illustrated by networks which capture the topology of the interactions between the entities. To better understand the roles played by … WebOct 5, 2024 · A basic question in network community detection is how modular a given network is. This is usually addressed by evaluating the quality of partitions detected in the network. The Girvan-Newman (GN) modularity function is the standard way to make this assessment, but it has a number of drawbacks. Most importantly, it is not clearly …

WebA basic question in network community detection is how modular a given network is. This is usually addressed by evaluating the quality of partitions detected in the network. The … WebOct 5, 2024 · Here we propose a new measure based on the concept of robustness: modularity is the probability to find trivial partitions when the structure of the network is …

WebJul 8, 2015 · Community structure is thought to be one of the main organizing principles in most complex networks. Big data and complex networks represent an area which researchers are analyzing worldwide. Of special interest are groups of vertices within which connections are dense. In this paper we begin with discussing community dynamics and …

WebDec 20, 2015 · In this paper, we discuss an elastic model to enhance the control of undirected networks and study the controllability of random networks with built-in gradually varied modularity as well as real-world networks to elaborate the correlation between the networks’ controllability and modularity. fine dining pinellas county flWebApr 24, 2010 · Multi-scale Modularity in Complex Networks. Renaud Lambiotte. We focus on the detection of communities in multi-scale networks, namely networks made of different … fine dining phoenixWeb2 days ago · Image stabilization is important for snake robots to be used as mobile robots. In this paper, we propose an adaptive robust RBF neural network nonsingular terminal sliding mode control to reduce swinging in the snake robot’s head while it is being driven. To avoid complex dynamic problems and reduce interference during driving, we … fine dining pittsburghWebJun 17, 2024 · Robustness to extinction and plasticity derived from mutualistic bipartite ecological networks Somaye Sheykhali, Juan Fernández-Gracia, Anna Traveset, Maren Ziegler, Christian R. Voolstra,... fine dining pittsburgh pa downtownWebJun 6, 2024 · Structural modularity is widely regarded as a necessary condition for the evolvability of complex networks. ‘Evolvability,’ in the general sense of the term, is defined … ernest warren obituaryWebNov 1, 2004 · Robustness is a ubiquitously observed property of biological systems. It is considered to be a fundamental feature of complex evolvable systems. ernest warren attorneyWebHere we propose a new measure based on the concept of robustness: modularity is the probability to nd trivial partitions when the structure of the network is randomly perturbed. This concept can be implemented for any clustering algorithm capable of telling when a group structure is absent. fine dining philly