A notion of nearness and farness imposes locality, and that in turn imposes neighborhoods.
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The dawn of the electric age witnessed the destruction of both nearness and farness.
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A major message of any representational photograph is its nearness or farness from the viewer in time.
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According to the supposed geographic farness distance, migrants' culture and origin would be incompatible with the Swiss identity.
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If I look from a mountain, the things seen are vast in height and breadth, in proportion to the farness of the horizon.
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Each of the four paintings here, all measuring 7 feet by 6 ½ feet, has its own qualities of tone and texture, nearness and farness, like various night skies.
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Chamberlin's career as a writer and editor spanned more than 60 years. His first wife Ida Atwood Chamberlin died in 1914. Chamberlin married Leonilda Farness (b. Farnese) in 1915.
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They were so dark a gray that they seemed brown, and there were a farness and alertness of vision in them as of bright questing through profounds of space.
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In his conception, vertices that have a high probability to occur on a randomly chosen shortest path between two randomly chosen vertices have a high betweenness. ;Eigenvector: Eigenvector centrality is a measure of the influence of a node in a network. It assigns relative scores to all nodes in the network based on the concept that connections to high-scoring nodes contribute more to the score of the node in question than equal connections to low-scoring nodes. ;Closeness: The farness of a node s is defined as the sum of its distances to all other nodes, and its closeness is defined as the inverse of the farness.
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In a connected graph, the normalized closeness centrality (or closeness) of a node is the average length of the shortest path between the node and all other nodes in the graph. Thus the more central a node is, the closer it is to all other nodes. Closeness was defined by Alex Bavelas (1950) as the reciprocal of the farness,Alex Bavelas. Communication patterns in task- oriented groups.
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Random walk closeness centrality is a measure of centrality in a network, which describes the average speed with which randomly walking processes reach a node from other nodes of the network. It is similar to the closeness centrality except that the farness is measured by the expected length of a random walk rather than by the shortest path. The concept was first proposed by White and Smyth (2003) under the name Markov centrality.
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In a connected graph, closeness centrality (or closeness) of a node is a measure of centrality in a network, calculated as the reciprocal of the sum of the length of the shortest paths between the node and all other nodes in the graph. Thus, the more central a node is, the closer it is to all other nodes. Closeness was defined by Bavelas (1950) as the reciprocal of the farness,Alex Bavelas. Communication patterns in task-oriented groups.
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In Nyaya (Generality or common features) school of Hinduism, there is extensive debate on what Guna means, and whether quality is innate, subjective or describable. Early scholars of this school identified 17 qualities, which later scholars expanded to 24 . Different scholars of this school list the 24 differently; for example, Bhasarvajna disallows 6 of the 24 commonly accepted by the ancient scholars. The most commonly accepted list is: color, taste, smell, touch, number, contact, disjunction, farness, nearness, dimension, separateness, knowledge, pleasure, frustration, desire, hatred, effort, weight, fluidity, viscosity, dispositional tendency, merit, demerit, and sound.
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Results from the experiments show that centralized communication is productive to routine decision-making but the quality of decision-making for complex tasks is better with the decentralized communication networks. This gained admiration from organizational theorists and social psychologists, mainly due to turning a complex social situation into a quantifiable and controllable experiment. The experiments led to a notion where a central actor is relatively close to other actors in its network and is in optimal position for integrating information from the dislocated network parts. In 1950, Bavelas defined closeness as the reciprocal of the farness, that is, the sum of distance from all actors.
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