Traffic dynamics of information packets in complex networks with non-uniform source and destination selection

Rachadi, A.; Jedra, Mohamed; Zahid, Noureddine

doi:10.1093/comnet/cnu040

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…Evaluation index in terms of recall ratio, system forecasting precision rate, and sorting accuracy is described as below [11][12][13][14][15][16][17][18] Forecasting description about different set definition is presented in Table 1, which aims to show the comparison between forecasting travel and indeed travel, and whether the airlines forecasting is correct.…”

Section: Experimental Datamentioning

confidence: 99%

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Air passenger travel forecasting model based on both dynamical individual behavior and social influence force

Wang

Liu

Ding

2019

Journal of Algorithms & Computational Technology

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Air passenger travel forecasting is necessary and becomes very valuable for airline company, because accurately obtaining practical requirements of air passenger, which can not only help airline company to improve air passenger satisfaction degree and enhance user experience so as to gain huge revenue, but also can help air passengers discover suitable travel plan quickly. In order to generate the air passenger travel forecasting model, this paper aims to analyze the internal driving force and social affect factor simultaneously, which was based on dynamical personal behaviors and air passenger social relationship exactly. In particular, three aspects in terms of dynamical personal behaviors, effect of fellow air passenger, and influence of similar air passenger are all considered simultaneously, and then the data from these aspects are further trained so as to obtain weight allocation in many different scenarios. Besides, workday and non-workday are separately considered in order to make the forecasting model feasible and effective.

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Section: Experimental Datamentioning

confidence: 99%

“…Evaluation index in terms of recall ratio, system forecasting precision rate, and sorting accuracy is described as below 11–18 : Recall ratio and system forecasting precision rate …”

Section: Performance Verification About Proposed Passenger Travel For...mentioning

confidence: 99%

Air passenger travel forecasting model based on both dynamical individual behavior and social influence force

Wang

Liu

Ding

2019

Journal of Algorithms & Computational Technology

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Traffic-driven epidemic spreading with non-uniform origin and destination selection

Chen

2022

Chaos, Solitons & Fractals

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Local routing protocols performance for computer virus elimination in complex networks

Alweimine

Bamaarouf

Rachadi

et al. 2019

Physica A: Statistical Mechanics and its Applications

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Traffic dynamics of information packets in complex networks with non-uniform source and destination selection

Cited by 7 publications

References 26 publications

Air passenger travel forecasting model based on both dynamical individual behavior and social influence force

Air passenger travel forecasting model based on both dynamical individual behavior and social influence force

Traffic-driven epidemic spreading with non-uniform origin and destination selection

Local routing protocols performance for computer virus elimination in complex networks

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