3 72 CHAPTER 3 with children (see bottom of Fig. 3.1a) that was mainly connected with the other dynamic risk factors through impulsive acts, general social rejection/loneliness, and capacity for relationship stability (Fig. 3.1a, middle). These findings were even more apparent in both the results of the spinglass algorithm (see Fig. A1 and Table A1 in the Supplemental Material) and the walktrap algorithm (see Fig. A4 and Table A4 in the Supplemental Material). These results showed sexual preoccupation, sex as coping, deviant sexual interests, and emotional identification with children to form a distinct cluster that was connected with one other cluster via impulsive acts, general social rejection/loneliness, and capacity for relationship stability (spinglass algorithm). The walktrap algorithm presented these three dynamic risk factors as a separate cluster between sexual preoccupation, sex as coping, deviant sexual interests, and emotional identification with children and a cluster of the remaining six dynamic risk factors. general social rejection/loneliness, lack of concern for others, and sex as coping had the highest estimated strength centralities in this network, whereas significant social influences was relatively weakly connected with other factors in the network. The networks of dynamic risk factors including sexual (Fig. 3.2a) and violent (including sexual contact; Fig. 3.2c) recidivism and their respective centrality plots (Figs. 3.2b, 3.2d) show considerable similarities, as evidenced by a correlation between the connection weights for both networks (including recidivism) of .97. Similar to the network that did not include recidivism, both networks featured exclusively positive connections between nodes. Again, we visually identified a cluster of the dynamic risk factors; sexual preoccupation, sex as coping, deviant sexual interests, and emotional identification with children (Figs. 2a and 2c, top) mainly connected with the other dynamic risk factors through general social rejection/loneliness (network with violent - including sexual contact - recidivism), general social rejection/loneliness, and impulsive acts (network with sexual recidivism; Figs. 2a and 2c, middle). However, the spinglass algorithm identified four distinguishable clusters in the networks including recidivism. The walktrap algorithm showed, respectively, two and three clusters in the networks including sexual and violent (including contact sexual) recidivism (see Figs. A2, A3, A5, and A6 and Tables A2, A3, A5, and A6 in the Supplemental Material). Again, both algorithms found a cluster containing sexual preoccupation, sex as coping, deviant sexual interests, and emotional identification with children in the networks containing recidivism. Community analysis conducted using the spinglass algorithm showed three other clusters: a cluster consisting of capacity of relationship stability, general social rejection/loneliness, and negative emotionality/hostility; a cluster made up of cooperation with supervision, lack of concern for others, and hostility toward women; and a cluster including significant social influences, impulsive acts, poor cognitive problem solving, and recidivism. The walktrap algorithm identified one second community containing all other dynamic risk factors in the network with sexual recidivism. Using this algorithm, the network containing violent (including sexual contact) recidivism appeared to have two other clusters, one containing capacity of relationship stability and general social rejection/loneliness and the other containing the remaining seven dynamic risk factors and recidivism.
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