Propagation Models for Trust and Distrust in Social Networks
By Cai-Nicolas Ziegler, Georg Lausen. Inf. Syst. Frontiers, 2005
377 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/7c3586c9fda15aa4155573d66da45b98b3c32df3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Charu C. Aggarwal
- Jennifer Golbeck
- Jiliang Tang
- Huan Liu
- John Riedl
- J. Konstan
- Carlos Castillo
- Michael D. Ekstrand
In Information Systems
- Charu C. Aggarwal
- Jennifer Golbeck
- John Riedl
- J. Konstan
- Michael D. Ekstrand
- Huan Liu
- Carlos Castillo
- Jiliang Tang
In Sociology and Political Science
- Charu C. Aggarwal
- Huan Liu
- Jennifer Golbeck
- Carlos Castillo
- Yolanda Gil
- Donovan Artz
- Brian D. Davison
- Cai-Nicolas Ziegler
Citations in the corpus
- Collaborative Filtering Recommender Systems (2011, background): “There is continued work, however, on various methods for estimating and propagating trust through social networks [12, 47, 48, 114, 155].”
- Adversarial Web Search (2011, methodology): “[172] and Appleseed, a system based on spreading activation [255].”
- The Study of Bias in Entrepreneurship (2017, background): “Still, while many studies equate distrust with lack of trust, treating them as opposites (Gans et al., 2001; Omodei & McLennan, 2000; Ziegler & Lausen, 2005), neuroscience evidence considers trust and distrust distinct phenomena (Dimoka, 2010): trust deals with positive expectations about the…”
- A survey of trust in computer science and the Semantic Web (2007, methodology): “…2002) [63] ) [65] (Acrement, 2002) [66] (Mui et al., 2002) [5] (Staab et al., 2004) [67] Computational and online trust models (Marsh, 1994) [68] (Ziegler and Lausen, 2005) [69] (Resnick et al., 2000) [70] (Friedman et al., 2000) [71] (Falcone and Castelfranchi, 2004) [72] (Jonker et al., 2004)…”
- Investigating interactions of trust and interest similarity (2007, methodology): “However, we believe that local group trust metrics like Levien's Advogato [34] and Appleseed [61,62] best fit neighborhood formation in decentralized systems [59].”
- A Survey of Signed Network Mining in Social Media (2015, background): “Methods in [Guha et al. 2004] and [Ziegler and Lausen 2005] are based on the matrix representation.”
- Sybil-Resilient Online Content Voting (2009, background): “Of the existing work, Advogato [15], Appleseed [30] and Sybilproof [3] are re-silient to Sybil attacks in the sense that an attacker cannot boost his reputation by creating a large number of Sybil identities “behind” him.”
- What Does the Brain Tell Us About Trust and Distrust? Evidence from a Functional Neuroimaging Study (2010, background): “Some authors equated distrust with lack of trust ( Ziegler and Lausen 2005 ) .”
- Recommender Systems (2016, positive): “A variety of other trust propagation methods include the use of decay factors along paths [240], using only shortest paths [222], distance from a fixed propagation horizon [403], spreading factors [682, 683], rules [345, 597], and semantic distances [1].”
- Finding high-quality content in social media (2008, background): “2http://askville.amazon.com/ 3http://answers.google.com/ 4http://yedda.com/ 5http://epinions.com/ Ziegler and Lausen [33] also study models for propagation of trust.”