| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T92 |
0-31 |
Sentence |
denotes |
Network property of small-world |
| T93 |
32-133 |
Sentence |
denotes |
Every node can be reached from every other node by a small number of steps in a small-world network5. |
| T94 |
134-317 |
Sentence |
denotes |
The personal contact network was assumed to have distinct clusters of individual hosts exposed to the path of MERS transmission, whereas the geodesics among these clusters were small. |
| T95 |
318-476 |
Sentence |
denotes |
In a given network of personal contacts, the overall network density of 0.014 implies that only 1.4% of potential personal connections were actually realized. |
| T96 |
477-731 |
Sentence |
denotes |
The average path length was 3.131 (disregarding the directness of relationships), and the average clustering coefficient was 0.258, which is significantly larger than the value for the corresponding classical random network, 1.117/162 = ∼0.007 (Table 1). |
| T97 |
732-815 |
Sentence |
denotes |
Thus, the network was considered to have a small-world property (small-world index: |
| T98 |
816-918 |
Sentence |
denotes |
1.046) with the presence of a small number of highly connected hub hosts (scale-free characteristics). |
| T99 |
919-1053 |
Sentence |
denotes |
Additionally, the distance-based cohesion of 0.355 demonstrated a large fragmented network with a relatively weak structural cohesion. |
| T100 |
1054-1175 |
Sentence |
denotes |
That is, the network would become disconnected if specific hosts who acted as shortcuts between the two clusters removed. |
| T101 |
1176-1234 |
Sentence |
denotes |
Table 1 Structural properties of personal contact network. |
| T102 |
1235-1249 |
Sentence |
denotes |
Category Value |
| T103 |
1250-1271 |
Sentence |
denotes |
Network Density 0.014 |
| T104 |
1272-1308 |
Sentence |
denotes |
Average Clustering Coefficient 0.258 |
| T105 |
1309-1334 |
Sentence |
denotes |
Average Path Length 3.131 |
| T106 |
1335-1378 |
Sentence |
denotes |
Distance-based Cohesion (Compactness) 0.355 |
| T107 |
1379-1402 |
Sentence |
denotes |
Small-World Index 1.046 |
| T108 |
1403-1423 |
Sentence |
denotes |
Average Degree 1.117 |
| T109 |
1424-1449 |
Sentence |
denotes |
Total number of Nodes 162 |
| T110 |
1450-1615 |
Sentence |
denotes |
As shown in Fig. 1, the relations of infection transmission within the personal contact network are visually displayed by three sub-groups based on k-core regions34. |
| T111 |
1616-1762 |
Sentence |
denotes |
The first group, marked in red, contains hub infectious hosts (#14, #1), as well as the high in-degree susceptible hosts (#37, #39, #9, #11, #12). |
| T112 |
1763-1886 |
Sentence |
denotes |
The second group, marked in blue, comprises susceptible hosts mainly infected through direct contact with hosts #14 and #1. |
| T113 |
1887-2060 |
Sentence |
denotes |
The third group, marked in black, includes the most peripheral indirect host infections through interpersonal transmission (see Supplementary Figs. 1–3 for further details). |
| T114 |
2061-2127 |
Sentence |
denotes |
Figure 1 Personal Contact Patterns in MERS Infection Transmission. |
| T115 |
2128-2285 |
Sentence |
denotes |
The overall relations of infection transmission within the personal contact network; three connected sub-structures are identified with the k-core algorithm. |
| T116 |
2286-2465 |
Sentence |
denotes |
A k-core is defined as a hierarchical set of hosts based on a range for each number of contacts they each have according to the degree of connection the hosts have in the network. |
| T117 |
2466-2524 |
Sentence |
denotes |
All nodes represent hosts having contacted MERS infection. |
| T118 |
2525-2713 |
Sentence |
denotes |
Thus, all hosts that generated a given transmission event to k other hosts form a sub-structure, and any host that generated multiple transmission events will link multiple sub-structures. |
| T119 |
2714-2925 |
Sentence |
denotes |
Colors correspond to the k-core partition (red: the first, blue: the second, black: the third group) and the size of the nodes in each k-core is proportional to the individual node eigenvector centrality values. |