The Simulation of Knowledge Flows on Collaboration Innovation Networks Based on Cellular Automata

被引：0
|
作者：
Zhou Wen [1 ]
Jing Mingyang [1 ]
机构：
[1] Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200027, Peoples R China
来源：
PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON INFORMATION, BUSINESS AND EDUCATION TECHNOLOGY (ICIBET 2013) | 2013年 / 26卷
关键词：
cellular automaton(CA) innovation network knowledge flow rate of innovation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A cellular automaton(CA) model of knowledge flows and innovation on collaboration innovation networks was establisted. The impact of network innovation rate to knowledge flow is studied, the changes in the amount of knowledge of the enterprise is analyzed. Simulation shows that the innovation of enterprise plays an important role in the development of the network. Further more, the change of corporate knowledge also reflects a series of rules and characteristics of the flow of knowledge in the innovation network.
引用
收藏
页码：510 / 513
页数：4
相关论文
共 50 条
  • [1] KNOWLEDGE NETWORKS, COLLABORATION NETWORKS, AND EXPLORATORY INNOVATION
    Wang, Chunlei
    Rodan, Simon
    Fruin, Mark
    Xu, Xiaoyan
    [J]. ACADEMY OF MANAGEMENT JOURNAL, 2014, 57 (02): : 484 - 514
  • [2] CELLULAR AUTOMATA SIMULATION OF LAVA FLOWS Applications to Civil Defense and Land Use Planning with a Cellular Automata based Methodology
    Rongo, Rocco
    Lupiano, Valeria
    Avolio, Maria Vittoria
    D'Ambrosio, Donato
    Spataro, William
    Trunfio, Giuseppe A.
    [J]. SIMULTECH 2011: PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON SIMULATION AND MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS, 2011, : 37 - 44
  • [3] Knowledge flows, externalities and innovation networks
    Quatraro, Francesco
    Usai, Stefano
    [J]. REGIONAL STUDIES, 2017, 51 (08) : 1133 - 1137
  • [4] Brittleness simulation based on cellular automata
    Yan, LM
    Xu, JJ
    Jin, HZ
    Rong, PX
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS, 2006, 13 : 1077 - 1084
  • [5] Simulation of SARS based on Cellular Automata
    Yu, Lei
    Xue, Huifeng
    Li, Gang
    [J]. DCABES 2006 PROCEEDINGS, VOLS 1 AND 2, 2006, : 784 - 786
  • [6] Cellular automata algorithm for simulation of surface flows in large plains
    Rinaldi, Pablo R.
    Dalponte, Diego D.
    Venere, Marcelo J.
    Clausse, Alejandro
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2007, 15 (03) : 315 - 327
  • [7] The dynamics of knowledge stocks and knowledge flows: innovation consequences of recruitment and collaboration in biotech
    Al-Laham, Andreas
    Tzabbar, Daniel
    Amburgey, Terry L.
    [J]. INDUSTRIAL AND CORPORATE CHANGE, 2011, 20 (02) : 555 - 583
  • [8] Modelling and simulating knowledge diffusion in knowledge collaboration organisations using improved cellular automata
    Su Jiafu
    Zhang Xuefeng
    Yang Jiaquan
    Qian Xiaoduo
    [J]. JOURNAL OF SIMULATION, 2019, 13 (03) : 181 - 194
  • [9] Multi-agent Based Simulation of Universities as an Innovation Ecosystem Based on Knowledge Flows
    Ramos-Filho, Jose
    Lima, Celson
    Costa, Ruben
    Figueiras, Paulo
    Sarraipa, Joao
    Jardim-Goncalves, Ricardo
    [J]. 2017 INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC), 2017, : 1480 - 1488
  • [10] Networks, knowledge flows and innovation in the Chilean meat sector
    Gorgoni, Sara
    Pietrobelli, Carlo
    [J]. INTERNATIONAL JOURNAL OF BUSINESS ENVIRONMENT, 2010, 3 (02) : 159 - 178
12345