Name
Abstract | ||
|---|---|---|
In social networks, notions such as trust, fondness, or respect between users can be expressed by associating a strength with each tie. This provides a view of social interaction as a weighted graph. Sociological models for such weighted networks can differ significantly in their basic motivations and intuitions. In this paper, we present a flexible framework for probabilistic modeling of social networks that allows one to represent these different models and more. The framework, probabilistic soft logic (PSL), is particularly well-suited for this domain, as it combines a declarative, first-order logic-based syntax for describing relational models with a soft-logic representation, which maps naturally to the non-discrete strength of social trust. We demonstrate the flexibility and effectiveness of PSL for trust prediction using two different approaches: a structural balance model based on social triangles, and a social status model based on a consistent status hierarchy. We test these models on real social network data and find that PSL is an effective tool for trust prediction. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-37210-0_29 | SBP |
Keywords | Field | DocType |
social network,probabilistic model,social triangle,trust prediction,different model,real social network data,different approach,consistent status hierarchy,social status model,social interaction,flexible framework,social trust | Social relation,Social network,Computer science,Artificial intelligence,Probabilistic logic,Probabilistic relevance model,Hierarchy,Syntax,Social trust,Social status | Conference |
Citations | PageRank | References |
21 | 0.84 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bert Huang | 1 | 563 | 39.09 |
| Angelika Kimmig | 2 | 579 | 28.95 |
| Lise Getoor | 3 | 4365 | 320.21 |
| Jennifer Golbeck | 4 | 3332 | 233.90 |