NetSense数据中链路的形成、持久和解除分析
Analysis of Link Formation, Persistence and Dissolution in NetSense Data
摘要：
我们研究了一个独特的行为网络数据集（基于定期调查和通过智能手机进行的二元联系的电子日志）收集在圣母大学。参与者是2011年秋季入学的新生班级成员的样本，他们对各种各样的政治和社会问题以及校园活动的意见定期记录-在每个学期开始和结束时-在校园生活的前三年里。我们创建了一个由电话和文本数据暗示的通信活动网络，以及一个基于调查的友谊网络。这两个网络都仅限于参加NetSense调查的学生。我们的目标是找到学生的特质和活动，在这些特质和活动上，协议与链接的形成和持续密切相关，而分歧与我们创建的两个社交网络中的链接的不存在或解散高度相关。使用统计分析和机器学习，我们观察到几个特征和活动显示这样的相关性，从而被潜在的使用来预测社会网络的演变。
英文摘要：
We study a unique behavioral network data set (based on periodic surveys and on electronic logs of dyadic contact via smartphones) collected at the University of Notre Dame.The participants are a sample of members of the entering class of freshmen in the fall of 2011 whose opinions on a wide variety of political and social issues and activities on campus were regularly recorded - at the beginning and end of each semester - for the first three years of their residence on campus. We create a communication activity network implied by call and text data, and a friendship network based on surveys. Both networks are limited to students participating in the NetSense surveys. We aim at finding student traits and activities on which agreements correlate well with formation and persistence of links while disagreements are highly correlated with non-existence or dissolution of links in the two social networks that we created. Using statistical analysis and machine learning, we observe several traits and activities displaying such correlations, thus being of potential use to predict social network evolution.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
