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The four relational models are as follows: Communal sharing (CS) relationships are the most basic form of relationship where some bounded group of people are conceived as equivalent, undifferentiated and interchangeable such that distinct individual identities are disregarded and commonalities are emphasized, with intimate and kinship relations being prototypical examples of CS relationship. [2]
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Presentation software that supports free form placement and zooming on a single sheet; Offers Android, iPhone and iPad applications work both offline and in sync with the cloud; Qiqqa: Quantisle Ltd. Windows: Minds maps for academics oriented around their research papers, notes and annotations: Semantica: Semantic Research OS X, Windows
Computer science often terms this relationship an "is-a" relationship. For example, the phrase "Red is-a color" can be used to describe the hyponymic relationship between red and color . Hyponymy is the most frequently encoded relation among synsets used in lexical databases such as WordNet .
The Democratic Party is in relationship with innumerable other entities, for example, the news media, current events, the American electorate, etc., each of which mutually influence the Party—a relationship of cause and effect. The Party is also a relationship itself between other concepts, for example, between a voter and political affiliation.
Relationships can be thought of as verbs, linking two or more nouns. [7] Examples include an owns relationship between a company and a computer, a supervises relationship between an employee and a department, a performs relationship between an artist and a song, and a proves relationship between a mathematician and a conjecture.
Social networking has changed the way the steps in Knapp’s model are processed. Facebook, for example, allows one to find out details about someone you are interested in without even having to have a conversation. Romantic relationship status can easily be found through a quick search of social media.
A key concept of the system is the graph (or edge or relationship). The graph relates the data items in the store to a collection of nodes and edges, the edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly and, in many cases, retrieved with one operation.