Formation and reciprocation of dyadic trust

Atanu Roy, Ayush Singhal, Jaideep Srivastava

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


This paper reports a detailed empirical study of interpersonal trust in a multi-relational online social network. This study addresses two main aspects of interpersonal trust: formation and reciprocation. Computational models developed, using multi-relational networks, for these processes provide interesting insights about online social interactions. Our findings for trust formation (initiation) indicate a strong role of lower familiarity interactions before trust(high familiarity relationship) is formed. Similarly, trust reciprocation is not automatic, but strongly depends on enough lower familiarity interactions. This study is the first quantification of the "scaffolding role" played by lower familiarity interactions, in formation of high familiarity relationships. Extension of prior works by Roy et al. [2013] and Singhal et al. [2013].

Original languageEnglish (US)
Article number15
JournalACM Transactions on Internet Technology
Issue number2
StatePublished - Mar 2017

Bibliographical note

Funding Information:
The research was supported by NSF grants IIS-1248269, IIS-1422802, and BBN grant W911NF-09-2-0053.

Publisher Copyright:
© 2017 ACM.


  • Online trust formation
  • Online virtual social networks
  • Relationship prediction
  • Social interaction


Dive into the research topics of 'Formation and reciprocation of dyadic trust'. Together they form a unique fingerprint.

Cite this