Title :
Multi-event complex logistics network model
Author :
Ju, Songdong ; Bian, Wenliang
Author_Institution :
Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing
Abstract :
Recently a networking trend is emerging in the development of modern logistics. The logistics network (LN) is complex society network with complex form and mechanism. More and more scholars have paid their attention to the study to LN. In this paper, we present a growing network model adapted to LN practice, then use it to theoretic researches, which has enrich and improve the original model proposed by R. Alert and A-L. Barabasi. We have not only proved that the degree distribution of such complex logistics network has be power-law, but also introduce and analyze some parameters in the model in order to help people to understand the real logistics network distinctly. At last, we hope the paper will introduce a new angle of view to network complexity research in logistics field.
Keywords :
complex networks; logistics; management science; social sciences; complex society network; multi-event complex logistics network; network complexity; social network; Complex networks; Context modeling; Educational products; Educational technology; Isolation technology; Logistics; Power generation economics; Social network services; Transportation; Web sites; complex network; logistics; logistics network; preferential attachment; scale-free;
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
DOI :
10.1109/SOLI.2008.4686578