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Complex Network

 In the context of network theory, a complex network is a graph with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in networks representing real systems.

The complex networks are a set of many connected nodes that interact in different ways. Is common that the nodes in an netrwork are also called vertices or elements, mathematically those are represented by the symbols , where is the total number of nodes in the network.


As a typical example of a complex system we can consider a cell, obviously, a cell is formed by many parts (ribosomes, nucleus, membrane, DNA, RNA, etc.), each part of a cell has its own specific function. The components of the cell respond in a non linear way when an external perturbation is done. For example sometimes a DNA mutation can be fatal, falciform anemia is a disease produced by one single mutation from the 600 aminoacids that built the beta-globin protein, that carried out oxygen absorption.

#networkscience  #socialnetworks  #complexnetworks  #datascience  #graphtheory  #networkanalysis  #datavisualization  #networkresearch #networktopology #networkdynamics #socialnetworkanalysis  #datamining  #bigdataanalytics  #computationalnetworks #machinelearning  #artificialintelligence  #networkvisualization #communitydetection #graphanalytics  #graphdatabases  #networkanalysis  #graphalgorithms  #cybersecurityanalytics #dataengineering  #cloudcomputing  #fraudanalytics #cybersecurity 




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