Extracting Skeleton of the Global Terrorism Network Based on m-Modified Topology Potential

Table 6

Spatial information of different skeleton networks over the Voronoi diagrams.

Network
Original network	6.39362	14.38748	34199	−32354	−0.94605	0.44438	0.55561
DF	5.30150	11.27088	3875	17792	4.59148	0.47037	0.52962
GWT	5.04153	11.27961	3609	16796	4.65392	0.44696	0.55304
k-core	5.18420	10.69609	3193	12180	3.81459	0.48468	0.51531
MST	6.39359	14.38747	34199	124857	3.65089	0.44438	0.55561
w-skeleton	5.11077	12.25797	6646	29851	4.49157	0.41693	0.58306
TPKS-skeleton	3.61053	9.15228	904	3657	4.04535	0.39449	0.60551

and denote the entropy and maximum entropy of geometric information quantified by the entropy of the Voronoi region. is the total number of vertices in the dual graph, while represents the sum of neighbors for all vertices. is the average number of neighbors for each vertex, indicating spatial relationship information. is the geometric spatial equilibrium. stands for the geometric spatial concentration.