Correction to: Network cartography of university students’ knowledge landscapes about the history of science: landmarks and thematic communities

Applied Network Science

Table 2 Characteristics of networks g_X corresponding to distinct periods X = i,...,vi and G_X of aggregated periods X = I,...,IV

Netw.	Sizes		Fitted parameters		Correlations		Global invariants				Fragility
Netw.	N	M	γ	σ	R ₂	τ _B	C _C	C _L	Q	A	Φ
g_i	239	356	1.0 ± 0.3	1.23 ± 0.07	0.90	0.51	0.24	0.10	0.66	−0.09	0.04
gii	311	392	1.5 ± 0.4	1.17 ± 0.07	0.74	0.45	0.18	0.08	0.80	−0.10	0.10
giii	326	424	1.5 ± 0.2	1.13 ± 0.07	0.75	0.34	0.16	0.09	0.80	−0.09	0.18
giv	158	190	0.9 ± 0.6	1.13 ± 0.07	0.77	0.57	0.18	0.07	0.78	−0.12	0.17
gv	208	254	1.6 ± 0.3	1.13 ± 0.07	0.77	0.51	0.16	0.07	0.79	−0.12	0.14
gvi	308	375	0.7 ± 0.3	1.16 ± 0.07	0.77	0.44	0.19	0.08	0.80	−0.11	0.20
G_I	826	1212	1.7 ± 0.2	1.27 ± 0.05	0.71	0.51	0.18	0.09	0.78	−0.06	0.03
G_II	858	1149	2.0 ± 0.2	1.26 ± 0.04	0.75	0.42	0.16	0.09	0.83	−0.08	0.03
GIII	796	1053	2.3 ± 0.2	1.26 ± 0.03	0.69	0.46	0.15	0.08	0.84	−0.08	0.07
GIV	757	992	1.6 ± 0.2	1.27 ± 0.05	0.76	0.48	0.17	0.07	0.83	−0.09	0.16
GTOT	1613	2306	2.1 ± 0.1	1.60 ± 0.04	0.62	0.53	0.16	0.08	0.83	−0.07	0.03

Power γ is for fitted inverse power law distributions fitted to degree (D) centrality distributions. The (logarithmic) width σ is for lognormal distributions fitted to Katz (K) centrality distributions. The relative errors of fits are estimated from the standard deviation of residuals. The correlations between values D and K are for Pearson (R²) and Kendall-τ_B ranking (τ_B) correlations. The summarised global invariants are average values of Closeness centrality (C_C), Local Clustering coefficient (C_L), Modularity (Q) and Assortativity (A). For each network, the number of nodes N and links M are provided, as well as the fragility Φ