Understanding latent interactions in online social networks
Citations
938 citations
Cites background from "Understanding latent interactions i..."
...Two recent studies of Renren [15] and MSN messenger [14] included 42 million and 180 million individuals respectively....
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436 citations
354 citations
Cites background or methods from "Understanding latent interactions i..."
...In Figure 5, the degree distribution for the entire Renren population (the Actual Degree Distribution line) is not biased: the data comes from a complete snapshot of Renren gathered in 2008 [Jiang et al. 2010]....
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...Unlike Facebook, Renren pro.les display a list of the nine most recent visitors [Jiang et al. 2010]....
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...We use the PKU regional network on Renren as our target social graph, since its size is reasonable (170,000 nodes) and its properties have been studied by prior work [Jiang et al. 2010]....
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...Figure 5 shows the degree distribution of all 667,723 Sybil accounts compared to the degree distribution of a complete, 42 million node snapshot of the Renren social graph collected in 2008 [Jiang et al. 2010]....
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308 citations
Cites background from "Understanding latent interactions i..."
...A tendency is to explore trustworthiness to facilitate the Sybil detection to SA-1....
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292 citations
Cites background from "Understanding latent interactions i..."
...The above analysis shows that Sybil sessions have very different characteristics compared to normal user sessions....
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References
33,771 citations
"Understanding latent interactions i..." refers background in this paper
...Figure 5 plots the complementary cumulative distribution function (CCDF) of user social degrees in the Renren network, and shows that Renren’s network structure roughly follows a powerlaw [2]....
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9,057 citations
"Understanding latent interactions i..." refers background in this paper
...Community detection is a well-studied area, and there are many different algorithms for locating communities [Fortunato 2010]....
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...Community detection is a well-studied area, and there are many different algorithms for locating communities [Fortunato 2010]....
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8,753 citations
8,432 citations
6,108 citations