A tidy approach network analysis on the London-based inner-city street gang data from 2005 to 2009, concerning black people, operating from a social housing estate that have co-offended together. Data is available on UCINET Software website and comes from anonymised police arrest and conviction data for all confirmed members of the gang.

The network is undirected and it has 54 nodes representing the monitored people having the following attributes:

• Person, representing the person’s identifier,
• Age, representing the age of such person,
• Birthplace, representing the birthplace of such person (1 for West Africa, 2 for Caribbean, 3 for United Kingdom, and 4 for East Africa),
• Residence, representing the fact that the person was resident,
• Arrests, representing the number of arrests of such person,
• Convictions, representing the number of convictions of such person,
• Prison, representing the fact that such person had already been arrested,
• Music, representing the fact that such person listened to music,
• Ranking, representing a ranking of such person.

The ties of such network are given as a weighted adjacency matrix, i.e. a 54×54 (weighted) matrix, where the weights are:

• 1, representing the fact that the connected people have hanged-out,
• 2, representing the fact that the connected people have co-offended together,
• 3, representing the facts that the connected people have co-offended together and that they have committed serious crimes,
• 4, representing the facts that the connected people have co-offended together, committed serious crimes and that there is a kin relationship (i.e. a family relationship) in-between nodes.

In this repository you will find:

• the used data,
• the R markdown of the analysis,
• the html rendering of such analysis.

© Stan I. Eduard, Computer Science M.Sc. Student at Università degli Studi di Udine.

Licensed under the MIT License.