Even subtle similarities between

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The most “central” nodes, or those that appear near the center of the graph, are the ones that enjoy links from a wide variety of sites. Naturally, the big boys like Reuters, CNN, and the NYTimes are located in the center, where a large number of links come from all directions.
Tight clusters are publishers that frequently link to each other, creating a strong pull and keeping them close together. Such publishers are often either owned by the same parent company or have automatic link syndication relationships. A good example is the Gawker network (at position 10PM). The close proximity of nodes in this network is the result of heavy interlinking and story syndication, with the effects of shared site-wide links between them.A similar cluster appears at the 7PM position with major NBC-owned publishers (NBC.com, MSNBC.com, Today.com, etc.). Nearby, we also see major NBC-owned regional publishers, indicating heavy story syndication for these regionally owned properties as well.

A publishers can be picked up. For example, see how afghanistan number data FoxNews.com and TMZ.com are very closely grouped, share very similar link profiles, and are heavily linked to each other.Another interesting cluster to note is the Buzzfeed/Vice cluster. Notice how their focus is somewhere between serious news and lifestyle, with connections across both.
Sites that cover similar themes/beats are often located close to each other in the visualization. We can see the top lifestyle publishers clustered around the 1PM position. News publishers with similar political leanings clustered close to other news publishers. Look at the proximity of Politico, Salon, The Atlantic, and the Washington Post. Similarly, look at the proximity of Breitbart, The Daily Caller, and BizPacReview. These relationships point to hidden biases and relationships in how these publishers pick up each other’s stories.
A more global perspective
Last year, an interesting project by Kalev Leetaru at Forbes looked at the dynamics of Google News publishers in the US and around the world. The project leveraged the large GDelt news article dataset, and visualized a network with Gephi, similar to the network above in the previous paragraph.