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The Boston Special Youth Project Affiliation Dataset Cover

The Boston Special Youth Project Affiliation Dataset

Open Access
|Jun 2018

Figures & Tables

j_connections-2017-006_tab_002

Response RateN/A
Non-Respondent BiasN/A
Theoretical GroupingsThe gangs/corner-groups are defined by geographic areas.
Publications Using These DataNone.
Data ContextA data component of a gang intervention conducted in Boston, MA.
RespondentsGang/Corner-group members.
LongitudinalYes. Data were collected for variable intervals on each of the gangs.
TemporalityLow. Nothing about the data, collection, or cntext suggests the validity of the data will attenuate over time.
Analytical or Pedagocical UtilityCan be used to validate community detection approaches since the groups are known.Demonstrate properties of large, bipartite networks. Examining longitudinal, bipartite networks.Demonstrating consequences of projection to one-mode networks.
Known IssuesVariation in the extent to which datawere collected for each of the gangs. The bulk of the network is constituted by three gangs.

Characteristics of the Seven Gangs and Percentage of Contact Cards Represented by each Gang

Gang CodeGenderRaceNumber on RosterPercentage of Roster Names (Number) Observed in CardsObservation PeriodPercentage of Cards (Number) Represented by each Gang
MM3MaleWhite3393% (31)6/21/54 - 1/30/568.7% (2,931)
MM2MaleWhite4577% (44)7/26/56 - 4/10/5733.2% (11,122)
WM3MaleWhite3797% (36)2/1/55 - 5/11/5722.3% (7,498)
WM2MaleWhite2684% (22)11/15/54 - 5/11/5733.3% (11,174)
HM3MaleBlack4047% (19)7/15/54 - 4/24/570.5% (171)
HFFemaleBlack397% (3)10/15/54 - 10/10/560.02% (8)
CFFemaleWhite11100% (11)10/22/54 - 4/25/574.7% a (1,583)
DOI: https://doi.org/10.21307/connections-2017-006 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 85 - 88
Published on: Jun 4, 2018
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Jacob T.N. Young, Scott H. Decker, Gary Sweeten, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.