A model for the co-evolution of dynamic social networks and infectious disease dynamics

Computational Social Networks

Table 5 Descriptive statistics of network dynamics, epidemics, and network measures

	Mean	SD	Min	Max	Skew
I. Epidemics
I.I. All simulation runs (36,000)
Final size	74.75	36.54	2.00	100.00	\(-\)1.00
Duration	20.66	6.68	10	60	0.30
I.II. Simulation runs with network changes (23,930)
Final size	63.26	39.34	2.00	100.00	\(-\)0.40
Duration	19.71	7.34	10	59	0.43
I.III. Simulation runs without network changes (12,070)
Final size	97.54	11.57	4.00	100.00	\(-\)6.49
Duration	22.54	4.58	10	60	1.10
II. Network dynamics
II.I. During epidemic
Av. no. ties broken/agent	1.80	2.61	0.00	22.86	2.46
Av. no. ties created/agent	1.81	2.61	0.00	22.80	2.46
Av. no. tie requests/agent	18.95	25.27	0.00	231.82	2.37
% tie requests accepted	0.09	0.03	0.01	1.00	6.21
II.II. Pre-epidemic
Av. no. tie requests/agent	7.15	6.48	0.00	34.94	1.59
% tie requests accepted	0.41	0.18	0.07	1.00	0.59
III. Network measures
III.I. Pre-epidemic
Degree	6.12	2.18	3.00	10.80	0.77
Distance 2 degree	16.88	11.78	4.00	39.68	1.08
Density	0.30	0.07	0.19	0.56	0.17
Clustering	0.01	0.01	0.00	0.27	4.65
Closeness	0.96	0.02	0.93	0.98	\(-\)0.31
III.I. Post-epidemic
Degree	6.09	2.11	3.00	10.92	0.75
Distance 2 degree	16.91	11.86	4.00	40.12	1.08
Density	0.30	0.07	0.18	0.56	0.24
Clustering	0.01	0.01	0.00	0.27	4.62
Closeness	0.96	0.02	0.93	0.98	\(-\)0.31