A DISCUSSION OF RANDOM GRAPH MODELS UTILIZATION FOR GLOBAL STRATEGIC MANAGEMENT

被引:0
|
作者
Panus, Jan [1 ]
机构
[1] Univ Pardubice, Studentska 95, Pardubice 53210, Czech Republic
关键词
strategic management; public administration; social networks; random graph; SOCIAL NETWORKS; LOGISTIC REGRESSIONS; DEGREE SEQUENCE; LOGIT-MODELS;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Social network analysis has received a lot of attention recently due to globalization tendencies around the world. One part of this methodology is so called complex networks which have very close to real-world networks. The study of complex networks is active part of scientific research in many areas such as mathematics, economy, sociology, biology, and others. To study such large graphs, it is possible to use random graphs models. Such graphs are usually described by some rules that define probability of structure or properties of such graphs. It is believed that studying random graphs can help understand the structure of large graphs or complex networks. Social networks have its own importance for companies and also for organization of public administration. There is possibility to obtain infounation about relationship not only between individuals but also between organizations. Organizations can obtain resources, information or knowledge from their external connections. This paper focus on Random Graph models and its utilization within area of global strategic management which is important in international strategies. Analysing of real network is very difficult due to possibilities of observing such network and gaining information about relationships inside the network. Random Graph models are suitable for modelling similar situation within different situation. This paper will demonstrate how Random Graph models can extend viewing on global strategic management for multinational or international strategy.
引用
收藏
页码:1628 / 1634
页数:7
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