优先依附
市场热点
学位分布
学位(音乐)
Boosting(机器学习)
惊喜
限制
计算机科学
GSM演进的增强数据速率
分布式计算
数学
组合数学
复杂网络
社会心理学
心理学
电信
工程类
物理
人工智能
万维网
机械工程
声学
标识
DOI:10.1109/passat/socialcom.2011.59
摘要
A common question in social networking research is how edges form to produce social graphs with the common characteristics, including a power-law degree distribution and a small diameter. One common model for edge formation in synthetic networks is preferential attachment. We examine the edge formation process of one Online Social Network (OSN), Buzz net, and look for evidence for preferential attachment. To our surprise, we find that a form of` `anti-preferential attachment'' is common, in which high-degree nodes add edges to low-degree nodes, perhaps as a means of self-promotion. We also find that nodes are most likely to reciprocate edges from low-degree nodes, limiting the extent to which anti-preferential attachment can succeed in boosting a high-degree node's in-degree.
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