Structure and time evolution of an Internet dating community
Structure and time evolution of an Internet dating community
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DOI：
10.1016/j.socnet.2004.01.007
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发表时间：
2004-05-01
期刊：
影响因子：
3.1
通讯作者：
Liljeros, F
中科院分区：
文献类型：
--
作者：
Holme, P;Edling, CR;Liljeros, F
我们提出了统计的结构和时间演化的网络构建的用户活动在互联网社区。互联网社区的广阔和精确的时间分辨率为监测社会网络的形成和动态提供了独特的可能性。时间演化的知名量，如聚类，混合（度度相关性），平均测地线长度，度，和互惠性进行了研究。与先前对科学合作网络的分析相反，我们发现顶点之间的度混合是离散的。此外，平均测地线长度和聚类系数的演化轨迹都有极小值。(C)2004 Elsevier B.V.保留所有权利。
We present statistics for the structure and time evolution of a network constructed from user activity in an Internet community. The vastness and precise time resolution of an Internet community offers unique possibilities to monitor social network formation and dynamics. Time evolution of well-known quantities, such as clustering, mixing (degree-degree correlations), average geodesic length, degree, and reciprocity is studied. In contrast to earlier analyses of scientific collaboration networks, mixing by degree between vertices is found to be disassortative. Furthermore, both the evolutionary trajectories of the average geodesic length and of the clustering coefficients are found to have minima. (C) 2004 Elsevier B.V. All rights reserved.