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121 believe we are the first to provide empirical date from multiple large-scale networks to support this conjecture. The analysis in the previous section revealed some insights into how proximity affects the growth of complex networks. While our results are not conclusive, it appears that growth models that take into account the indegree of the destination (e.g. Preferential Selection and Random Walk) match the data more closely than other models. Moreover, Preferential Selection outperforms Random Walk only for the Internet AS graph. 6.8 Summary In this chapter, we closely examined network growth data from five different networks and compared the empirical data to the predictions of previously proposed growth mechanisms. We end this chapter with a brief outline of our most important findings. • We found evidence of reciprocation as a mechanism in directed networks. We found that users tend to often create a reciprocal link in response to an incoming link, explaining the high levels of symmetry observed in social networks with directed links. • We also found that nodes tend to create and receive links in proportion to the outdegree and indegree, which is consistent with preferential attachment (or preferential creation and preferential reception in directed networks). • However, we found that the BA model alone did not accurately predict thePDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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