图 书 馆
移动电话图:超越幂律和对数正态分布Mobile Call Graphs: Beyond Power-Law and Lognormal Distributions |
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| 课程网址: | http://videolectures.net/kdd08_seshadri_mcgbpl/ |
| 主讲教师: | Mukund Seshadri |
| 开课单位: | 斯普林特实验室 |
| 开课时间: | 2008-09-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distributions of the number of phone calls per customer; the total talk minutes per customer; and the distinct number of calling partners per customer. We find that these distributions are skewed, and that they significantly deviate from what would be expected by power-law and lognormal distributions. To analyze our observed distributions (of number of calls, distinct call partners, and total talk time), we propose PowerTrack , a method which fits a lesser known but more suitable distribution, namely the Double Pareto LogNormal (DPLN) distribution, to our data and track its parameters over time. Using PowerTrack , we find that our graph changes over time in a way consistent with a generative process that naturally results in the DPLN distributions we observe. Furthermore, we show that this generative process lends itself to a natural and appealing social wealth interpretation in the context of social networks such as ours. We discuss the application of those results to our model and to forecasting. |
| 关 键 词: | 社交网络; 对数正态分布; 社会财富解释 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-04：lxf |
| 阅读次数: | 36 |