Glossary
- Active learning:
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Active learning refers to a learning task which allows an algorithm to interactively query the user (or some other information source) to obtain the desired outputs at new data points. For inferring social ties, it tries to maximally enhance the inferring model by actively acquiring the labels of some unknown relationships.
- Influence maximization:
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Influence maximization refers to the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence.
- Social tie:
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In sociology, social tie is defined as information-carrying connections between people. It generally comes in three varieties: strong, weak, or absent.
- Supervised learning:
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Supervised learning is a machine learning task, aiming to learn a function from the labeled training data. For inferring social ties, it aims to learn a function from the labeled relationships, so as to infer the...
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Tang, J. (2018). Inferring Social Ties. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_177-1
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DOI: https://doi.org/10.1007/978-1-4614-7163-9_177-1
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