A Novel Carbon Price Fluctuation Trend Prediction Method Based on Complex Network and Classification Algorithm

Table 2

Statistical characteristics and network topological characteristics.

		EUETS	BJ	CQ	GD	HB	SH	SZ	TJ
Statistical characteristics	Variable coefficient	5.3513	4.2544	7.8148	4.2452	1.8888	4.9197	3.6052	2.3324
	Skewness	0.6565	0.7156	0.3907	2.1528	0.4177	−0.7117	0.1120	0.5065
	Peakness	−1.2343	−0.6000	−1.0946	6.5115	0.3696	−0.7700	−0.0632	−0.4468
Network characteristics	Average degree	15.7154	10.6964	19.6289	15.0807	16.2544	13.4059	12.1862	26.6584
	Average clustering coefficient	0.7012	0.7688	0.7274	0.7422	0.7262	0.7585	0.8001	0.6848
	Assortativity coefficient	0.0850	−0.0652	−0.3381	−0.0628	−0.0823	−0.0879	−0.2943	−0.3984
	Power law index	1.3959	1.5577	1.1736	1.1354	1.1450	1.3849	1.1820	0.9711