 Then, we conduct a comprehensive statistical analysis on the constructed futures trading networks , and empirical results show that the futures trading networks exhibit such features as scale-free structure with interesting odd-even-degree divergence in low degree region , small-world effect, URLanization, power-law betweenness distribution,  and shrinkage of both  average path length and  diameter as network size increases.
<clarity>  Then, we conduct a comprehensive statistical analysis on the constructed futures trading networks , and empirical results show that the futures trading networks exhibit such features as scale-free structure with interesting odd-even-degree divergence in low degree region , small-world effect, URLanization, power-law betweenness distribution,  and shrinkage of both  average path length and  diameter as network size increases.
 Then, we conduct a comprehensive statistical analysis on the constructed futures trading networks , and empirical results show that the futures trading networks exhibit features such as scale-free structure with interesting odd-even-degree divergence in low degree region , small-world effect, URLanization, power-law betweenness distribution, and shrinkage of both average path length and diameter as network size increases.