Evolution of the Complex Supply Chain Network Based on Deviation from the Power-Law Distribution

The power-law distribution is an important descriptive characteristic of scale-free complex supply chain networks (SCN). and deviation phenomena SCN nodes are explored in combination with network theory, so it imporant to accurately characterize the dynamic characteristics evolution on a time scale. Based analysis topological structure evolutionary small-world SCN, single double further analyzed, phenomenon analyzed. On premise setting three parameters new nodes, edges, node reconnection process evolution, model under environment constructed, then Combined numerical simulation simulation, two kinds results show that two-stage not caused by adding or connecting while has certain influence change power index, increases extension time. When p1=0, tends δ when step large enough.