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Leveraging team formation with social networks: The My Dream Team recommendation system Cover

Leveraging team formation with social networks: The My Dream Team recommendation system

Open Access
|Sep 2026

Figures & Tables

Figure 1

Admin account creation.

Source: Authors’ contribution.

Figure 2

Adding participants to an MDT session.

Source: Authors’ contribution.

Figure 3

Setting an MDT session. Instructors can enable participants to search for other teammates, activate notifications, and enable the ranking methods when recommending potential teammates.

Source: Authors’ contribution.

Figure 4

The instructor can customize the survey that participants will receive.

Source: Authors’ contribution.

Figure 5

Profile survey. Participants create a public profile and provide information to the recommendation system, which remains private and is not visible to other participants.

Source: Authors’ contribution.

Figure 6

Creating the search query. Users search for teammates based on social connections, project skills, similarity features, and individual traits.

Source: Authors’ contribution.

Figure 7

Exploring the recommendations generated by MDT.

Source: Authors’ contribution.

Table 1

Mapping MDT features to social network concepts.

MDT featureSocial network analysis (SNA) conceptsWhat participants observe
Search query (skills, personality, ties)Stated preferences: human capital vs social capitalParticipants discover what they value in their teammates
Invitation network (who invites whom)In-degree centrality; preferential attachmentSome participants receive many invitations; others receive few, independent of competence
Tie-type reporting (know/worked with/socialize)Tie strengthStrong ties dominate actual invitation choices despite weak-tie availability
The gap between search and invitationStated vs revealed preferences; homophilyParticipants search for competence but invite friends
Variety score displaySocial categorization; homophilyMaking differences salient can paradoxically reduce variety in teammate selection
Recommendation rank positionAlgorithmic mediation of social processesHigher-ranked candidates are significantly more likely to receive invitations
Aggregate team compositionEmergent segregation; core-periphery structureExpertise and social capital are concentrated in a few teams; peripheral participants struggle

Source: Authors’ contribution.

DOI: https://doi.org/10.2478/connections-2026-0009 | Journal eISSN: 2816-4245 (formerly 0226-1766) | Journal ISSN: 0226-1766
Language: English
Page range: 35 - 46
Submitted on: Feb 18, 2026
Accepted on: Jul 20, 2026
Published on: Sep 9, 2026
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Diego Gómez-Zará, Anup Sawant, Xiang Li, Marlon Twyman, Leslie DeChurch, Noshir Contractor, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.