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AbstractSocial network analysis can help us understand the root causes of delinquent behaviour and crime and provide practical guidance for the design of crime prevention policies. To illustrate these points, we first present a selective review of several key network studies and findings from the criminology and police studies literature. We then turn to a presentation of recent contributions made by network economists. We highlight ten policy lessons and provide a discussion of recent developments in the use of big data and computer technology.

Abstract
We study the causal effect of mandatory military conscription in Sweden on the criminal behaviour of men born in the 1970s. We find that military service significantly increases post-service crime (overall and across multiple crime categories) between the ages of 23 and 30. These results are driven primarily by young men who come from low socioeconomic status households and those with pre-service criminal histories, despite evidence of a contemporaneous incapacitation effect of service for the latter group. Much of this crime-inducing effect can be attributed to negative peer effects experienced during service. Worse post-service labour market outcomes may also matter.

Abstract
This paper uses data from the Stockholm Birth Cohort Study to document intergenerational associations in drunk driving between fathers and their children. The proportion of sons with a record of drunk driving is 2.3 times larger for sons whose fathers have a conviction for drunk driving than for sons whose fathers have not been convicted. For daughters, the proportion is 7.8 times larger. The average number of convictions is twice as large for sons whose fathers have a conviction for drunk driving than for sons whose fathers have not been convicted. For daughters, the average number of convictions is 15.3 times larger. We argue that these intergenerational associations in drunk driving have important implications for treatment strategies and public policy.

The goal of this study is to examine trends in the importance of family background in determining adult income in Sweden. We investigate whether the association between family background and income in Sweden has changed for cohorts born 1932-1968. Our main finding is that the share of the variance in long-run income that is attributable to family background, the so-called brother correlation in income, has fallen by some 11 percentage points from 0.34 for the cohorts of brothers born in the early 1930s to below 0.23 for the cohorts born around 1950. From then on, the correlations have been more or less stable and are in line with earlier estimates. When we adjust income for the income return to years of schooling, we find constant brother correlations in income. The main effect is coming from changes in the distribution of schooling across cohorts. This finding is consistent with the hypothesis that education policies have been a key factor in equalizing life chances in Sweden.

Abstract
Sibling correlations are broader measures of the impact of family and community influences on individual outcomes than intergenerational correlations. Estimates of such correlations in income show that more than half of the family and community influences that siblings share are uncorrelated with parental income. We employ a data set with rich family information to explore what factors in addition to traditional measures of parents' socio-economic status can explain sibling similarity in long-run income. Measures of family structure and social problems account for very little of sibling similarities beyond that already accounted for by income, education and occupation. However, when we add indicators of parental involvement in schoolwork, parenting practices and maternal attitudes, the explanatory power of our variables increases from about one-quarter (using only traditional measures of parents' socio-economic status) to nearly two-thirds.