How many names are enough? Identifying network effects with the least set of listed contacts

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• 作者：Jennifer Merluzzi ; Ronald S. Burt
• 关键词：Name generators ; Personal networks ; Survey methods ; Returns to brokerage
• 刊名：Social Networks
• 出版年：2013
• 出版时间：July, 2013
• 年：2013
• 卷：35
• 期：3
• 页码：331-337
• 全文大小：709 K

文摘

How many names are enough to reveal network effects using a name generator for network analysis? We analyze network data from two large organizations varying in complexity. We ask how much the network association with achievement is strengthened by adding another name to the recorded list of each person's sociometric citations. We conclude that five names is the cost effective number of sociometric citations to record. The network association with achievement weakens quickly with fewer names, especially in the more clustered network.