Trust transitivity in social networks.

Article, Preprint English OPEN
Oliver Richters ; Tiago P Peixoto
  • Publisher: Public Library of Science (PLoS)
  • Journal: PLoS ONE, volume 6, issue 4 (issn: 1932-6203, eissn: 1932-6203)
  • Related identifiers: pmc: PMC3071725, doi: 10.1371/journal.pone.0018384
  • Subject: Algorithms | Applied Mathematics | Social and Behavioral Sciences | Research Article | Information Technology | Mathematics | Sociology | Social Systems | Complex Systems | Computer Science | Condensed-Matter Physics | Physics | Condensed Matter - Statistical Mechanics | General Physics | Computer Science - Social and Information Networks | Social Networks | Physics - Physics and Society | Cryptography | Medicine | Computational Sociology | Computer Security | Q | R | Phase Transformation | Science | Interdisciplinary Physics | Statistical Mechanics
    arxiv: Computer Science::Cryptography and Security

Non-centralized recommendation-based decision making is a central feature of several social and technological processes, such as market dynamics, peer-to-peer file-sharing and the web of trust of digital certification. We investigate the properties of trust propagation on networks, based on a simple metric of trust transitivity. We investigate analytically the percolation properties of trust transitivity in random networks with arbitrary in/out-degree distributions, and compare with numerical realizations. We find that the existence of a non-zero fraction of absolute trust (i.e. entirely confident trust) is a requirement for the viability of global trust propagation in large systems: The average pair-wise trust is marked by a discontinuous transition at a specific fraction of absolute trust, below which it vanishes. Furthermore, we perform an extensive analysis of the Pretty Good Privacy (PGP) web of trust, in view of the concepts introduced. We compare different scenarios of trust distribution: community- and authority-centered. We find that these scenarios lead to sharply different patterns of trust propagation, due to the segregation of authority hubs and densely-connected communities. While the authority-centered scenario is more efficient, and leads to higher average trust values, it favours weakly-connected “fringe” nodes, which are directly trusted by authorities. The community-centered scheme, on the other hand, favours nodes with intermediate in/out-degrees, in detriment of the authorities and its “fringe” peers.
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