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Related Concept Videos

Phylogenetic Trees03:21

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
Phylogenetic Trees03:21

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Network Function of a Circuit01:25

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
Circuit Terminology01:14

Circuit Terminology

An electrical network is a system composed of interconnected elements, such as resistors, capacitors, inductors, and voltage or current sources. Unlike a circuit, an electrical network does not necessarily form a closed path. In other words, while all circuits can be considered networks due to their interconnected nature, not every network qualifies as a circuit.
A circuit, on the other hand, is also an interconnected system of electrical elements but must contain one or more closed paths.

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Related Experiment Video

Updated: May 31, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Is network clustering detectable in transmission trees?

David Welch1

  • 1Department of Statistics, Pennsylvania State University, University Park, PA16802, USA. jdw21@stat.psu.edu

Viruses
|July 7, 2011
PubMed
Summary
This summary is machine-generated.

Network clustering has minimal impact on disease spread dynamics. Simulations show that epidemic transmission trees do not clearly reflect network clustering when re-infection is absent, making it hard to detect this feature in real-world disease data.

Keywords:
SEIRclusteringcontact networkepidemicsnetworkpopulation structuresimulationstransmission tree

Related Experiment Videos

Last Updated: May 31, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Area of Science:

  • Epidemiology
  • Network Science
  • Computational Biology

Background:

  • Networks are crucial for modeling pathogen transmission between hosts.
  • Understanding how network structure influences disease dynamics is essential for effective public health interventions.
  • The role of network clustering in disease spread remains an open question.

Purpose of the Study:

  • To investigate whether network clustering, the tendency for nodes to form triangles, is detectable in epidemic transmission trees.
  • To determine if clustering influences the dynamics of disease spread in simulated epidemics.

Main Methods:

  • Simulated susceptible-exposed-infectious-removed (SEIR) epidemics on networks with identical degree sequences but varying levels of clustering.
  • Analyzed epidemic transmission trees generated from these simulations.
  • Compared the variation in transmission trees across networks with different clustering levels.

Main Results:

  • The variation observed in epidemic transmission trees was minimal between networks with different clustering levels.
  • The variation was only slightly greater than that observed between networks with the same clustering level.
  • These findings suggest that clustering is difficult to detect in transmission data without re-infection.

Conclusions:

  • Network clustering has a limited detectable impact on the structure of epidemic transmission trees in the absence of re-infection.
  • Current methods may struggle to identify the influence of clustering on disease spread dynamics using transmission data alone.
  • Further research may be needed to develop methods for detecting network clustering in epidemiological data.