Carnegie Mellon University researchers have developed a way to show how social networks change and develop over time.
The core of the Weighted Betweenness Preferential Attachment (WBPA) model focuses on the notion of "node betweenness," a quality of being between communities, while previous models have centered on the amount of connections that an individual has. The researchers found node betweenness is actually a greater attractor and driver for the formation of social ties than node degree or other measures of centrality.
Instead of examining only the amount of connections a single node has, WBPA places more emphasis on community formation and the quality of node connections. "The new model builds on the idea that humans are better at observing qualitative aspects than quantitative ones, which is why people typically favor investing in fewer qualitative social ties rather than numerous lower quality ties," says CMU's Radu Marculescu.
From Carnegie Mellon University
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