Time dependent correlations between the probability of a node being infected and its centrality measures

Gündüç, Semra; Eryiğit, Resul

doi:10.1016/j.physa.2020.125483

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…While to the best of our knowledge the specific formulae and algorithms for these measurements are original to this work, the secondary transmission used in Direct Attribution is a relatively intuitive and traditional metric of tracking infections, and we acknowledge similarities between some of our measurements and other established metrics [34][35][36][37].…”

Section: Measurementsmentioning

confidence: 99%

The interplay of social constraints and individual variation in risk tolerance in the emergence of superspreaders

Young,

Silk,

Pritchard

et al. 2023

J. R. Soc. Interface.

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Individual host behaviours can drastically impact the spread of infection through a population. Differences in the value individuals place on both socializing with others and avoiding infection have been shown to yield emergent homophily in social networks and thereby shape epidemic outcomes. We build on this understanding to explore how individuals who do not conform to their social surroundings contribute to the propagation of infection during outbreaks. We show how non-conforming individuals, even if they do not directly expose a disproportionate number of other individuals themselves, can become functional superspreaders through an emergent social structure that positions them as the functional links by which infection jumps between otherwise separate communities. Our results can help estimate the potential success of real-world interventions that may be compromised by a small number of non-conformists if their impact is not anticipated, and plan for how best to mitigate their effects on intervention success.

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Section: Measurementsmentioning

confidence: 99%

The interplay of social constraints and individual variation in risk tolerance in the emergence of superspreaders

Young,

Silk,

Pritchard

et al. 2023

J. R. Soc. Interface.

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show abstract

“…8,9 Searching for the super infection source in infectious disease propagation networks helps to prevent the further spread of the virus. 10 Key nodes can be identified according to their centralities. Node centrality is a relative parameter, the significance of which is not only related to specific performance of a network but also related to other nodes in the network for comparison.…”

Section: Introductionmentioning

confidence: 99%

A new approach for node centrality evaluation based on residual network performance measurement

Chen

2021

Concurrency and Computation

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The identification of the most influential nodes has been a vibrant subject in complex network research, with many applications across informational, social or biological networks. Despite substantial empirical studies, there is still some defect in the traditional approach for evaluating nodes centralities. The traditional approach for evaluating nodes centralities is to measure network performance change before and after a node fails. To be compatible with this approach, network performance measurement indexes should be monotonic and adequate, which is a constraint condition too strong to satisfy. As a result, many indexes were actually abused in some topologies of networks and the ranking result of nodes centralities may be unreasonable in some application scenarios. To solve the problem, the fundamental rationale of this approach is studied as well as its theoretical defect. Then, a new approach is proposed for evaluating node centrality based on measurement of residual network performance after a node fails. Furthermore, a new index called comprehensive distance is presented for measuring network interconnectedness whether cascading failure is considered or not, which is suitable for not only connected networks but also unconnected networks.Finally, some cases are used to test the validity of the proposed approach. By comparison, the ranking results of nodes centralities evaluated by the proposed approach are more accurate than the results evaluated by the traditional approach. The study about how to measure performance of residual network not only advances the field in terms of node centrality evaluation but also promotes the state of the art in recent related fields such as neural network research and application.

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How do abnormal trading behaviors diffuse in electronic markets?

Khodabandehlou,

Hashemi Golpayegani

2024

Soc. Netw. Anal. Min.

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Time dependent correlations between the probability of a node being infected and its centrality measures

Cited by 5 publications

References 21 publications

The interplay of social constraints and individual variation in risk tolerance in the emergence of superspreaders

The interplay of social constraints and individual variation in risk tolerance in the emergence of superspreaders

A new approach for node centrality evaluation based on residual network performance measurement

How do abnormal trading behaviors diffuse in electronic markets?

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