A visual replication of network structures. Assortative (A) and Core-Periphery (B) depict two of the common relationship structures found in networks, while Source-Basin (C) portrays the newly found flow of information from less-connected influencers to highly connected users. [Credit: Liu et al.]
A visual replication of network structures. Assortative (A) and Core-Periphery (B) depict two of the common relationship structures found in networks, while Source-Basin (C) portrays the newly found flow of information from less-connected influencers to highly connected users. Credit: Liu et al. New findings could help explain how social media content appears in our feeds Researchers at the University of Sydney have discovered new structural relationships in complex networks, such as X (formerly Twitter) and political blogs, that could help explain the digital flow of information. Their research published in the latest issue of the journal PNAS Nexus introduces a new method capable of identifying and classifying relationships in networks. They found unexplored types of relationships in almost all of the 53 networks they analysed. The study represents a significant advance in understanding complex networks and their scaffolding, while the methodology has the potential to change the way networks are analysed and interpreted.
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