Fig 1.
Number of social networks (a) without geography and (b) in the sociospatial model.
(A) shows social network size by number of respondents connected, before including sociospatial risk sites (n = 600, N = 147), (B) captures the social network size by number of nodes (connected respondents and risk sites) in the sociospatial model (n = 701, N = 57).
Fig 2.
Geographic extents of Component 1 (n = 366).
Points, demonstrating spatial distribution of residences and risk activity sites, are colored by betweenness centrality scores. The KDE surface for Component 1 is calculated by weighting the betweenness scores in the sociospatial network. (Created using ArcGIS 10.2 [27]. Community Characterization Area base layer obtained from the City of Winnipeg’s Open Data Catalog [28].)
Fig 3.
Trimmed network graph of sociospatial Component 1 (n = 366).
This network graph of the largest sociospatial network component is trimmed to isolate highly-connected nodes. Symbol shape and color illustrate gender, infection status, and risk activity sites. (Created using Pajek [22].)
Fig 4.
Spatial extents of the five largest sociospatial network components.
The intersection of components 1 (orange), 2 (blue), 3 (green), 7 (purple) and 29 (brown) and a density ‘heat map’ of all risk activity locations illustrates where each component presents risk. (Created using ArcGIS 10.2 [27]. Community Characterization Area base layer obtained from the City of Winnipeg’s Open Data Catalog [28].)
Table 1.
Characteristics of participants in largest components of the sociospatial network.
Fig 5.
Spatial co-incidence of components.
Spatial co-incidence of components for the entire study area (A) represents the spatial distribution of the entire sociospatial network. (B) highlights the number of places frequented by each of the five components and (C) the betweenness of each location for each of the five components.