Studying Multi-Stage Diffusion Dynamics using Epidemic Modeling Framework

被引:3
|
作者
Kumar, Hitesh [1 ]
Singh, Ompal [1 ]
Anand, Adarsh [1 ]
Irshad, Mohammed Shahid [1 ]
机构
[1] Univ Delhi, Fac Math Sci, Dept Operat Res, Delhi 110007, India
关键词
Buying behaviour; Epidemiology; Innovation adoption; Runge-Kutta method; CHAIN MONTE-CARLO; WORD-OF-MOUTH; INNOVATION ADOPTION; COMMUNICATION; VACCINATION; AWARENESS; BUDGET;
D O I
10.33889/IJMEMS.2023.8.1.007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Buying process has always carried a two-fold perspective with itself. On one hand, it is important for individuals and on other hand it is equally important for the firms to deliver the perfect need and want to the customer. Amongst this entire process, awareness along with positive motivation towards the product; plays an equally significant role in strategizing the plans for any company. Plenty of models have been proposed and many would be in the pipeline that have talked about the connectivity of these processes and their impact on the final adoption. In the current work, these processes have been studied through the analogy taken from epidemic modelling framework. Furthermore, an approximation method; Range Kutta of 4th order has been utilized to come to a near approximate solution to the otherwise available non-closed form solution. The proposed modelling framework is validated on real-life data sets and the results depict the existence and presence of various stages under consideration.
引用
收藏
页码:105 / 119
页数:15
相关论文
共 50 条
  • [1] A multi-stage modeling framework for Web service composition
    Jian Xiao
    Li Zheng
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4, 2007, : 1782 - 1786
  • [2] A structural framework for modeling multi-stage network attacks
    Daley, K
    Larson, R
    Dawkins, J
    [J]. 2002 INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, PROCEEDINGS OF THE WORKSHOPS, 2002, : 5 - 10
  • [3] Multivariate Modeling for a Multi-Stage Green Building Framework
    Kung, Pin
    Chen, Victoria C. P.
    Robinson, Anthony
    [J]. 2011 IEEE INTERNATIONAL SYMPOSIUM ON SUSTAINABLE SYSTEMS AND TECHNOLOGY (ISSST), 2011,
  • [4] Multi-stage Diffusion Dynamics based on Optimal Control Theory
    Anand, Adarsh
    Singhal, Shakshi
    Singh, Ompal
    [J]. 2016 5TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO), 2016, : 100 - 106
  • [5] Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework
    Mostajabdaveh, Mahdi
    Yu, Timothy T.
    Ramamonjison, Rindranirina
    Carenini, Giuseppe
    Zhou, Zirui
    Zhang, Yong
    [J]. INFOR, 2024,
  • [6] A Framework for Multi-stage Attack Detection
    Alserhani, Faeiz
    [J]. 2013 SAUDI INTERNATIONAL ELECTRONICS, COMMUNICATIONS AND PHOTONICS CONFERENCE (SIECPC), 2013,
  • [7] Dynamics and Performance Modeling of Multi-Stage Manufacturing Systems using Nonlinear Stochastic Differential Equations
    Mittal, Utkarsh
    Yang, Hui
    Bukkapatnam, Satish T. S.
    Barajas, Leandro G.
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2, 2008, : 498 - +
  • [8] Accelerating Gaussian Process surrogate modeling using Compositional Kernel Learning and multi-stage sampling framework
    Jin, Seung-Seop
    [J]. APPLIED SOFT COMPUTING, 2021, 104
  • [9] Dynamics of Multi-stage Infections on Networks
    Sherborne, N.
    Blyuss, K. B.
    Kiss, I. Z.
    [J]. BULLETIN OF MATHEMATICAL BIOLOGY, 2015, 77 (10) : 1909 - 1933
  • [10] Dynamics of Multi-stage Infections on Networks
    N. Sherborne
    K. B. Blyuss
    I. Z. Kiss
    [J]. Bulletin of Mathematical Biology, 2015, 77 : 1909 - 1933