Glossary
- Collective classification:
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A special case of collective learning: The class membership of entities can be predicted from the class memberships of entities in their (social) network environment. Example: Individuals’ income classes can be predicted from those of their friends
- Collective learning:
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Refers to the effect that an entity’s relationships, attributes, or class membership can be predicted not only from its attributes but also from its (social) network environment
- Entities:
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Are (abstract) objects. We denote an entity by a lowercase e. An actor in a social network can be modeled as an entity. There can be multiple types of entities in a domain (e.g., individuals, cities, companies), entity attributes (e.g., income, gender), and relationships between entities (e.g., knows, likes, brother, sister). Entities, relationships, and attributes are defined in the...
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Tresp, V., Nickel, M. (2018). Relational Models. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_245
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DOI: https://doi.org/10.1007/978-1-4939-7131-2_245
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