MOCHA: A Tool for Mobility Characterization
MOCHA: A Tool for Mobility Characterization
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MOCHA：移动性表征工具
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
A. A. F. Loureiro
中科院分区：
文献类型：
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作者：
Fabrício R. de Souza;Augusto C. S. A. Domingues;Pedro O. S. Vaz de Melo;A. A. F. Loureiro
在文献中有许多不同格式和来源的移动模型。除了现有的分析和描述这些模型的研究外，还需要一个能够以一种简单的方式比较它们的框架。MOCHA(Mobility Frame For Characteristic Analysis)是一个无需任何艰苦工作即可表征并使移动模型比较成为可能的工具。我们实现了9个社会、空间和时间特征，这些特征是从各种(真实的和合成的)不同的流动痕迹中提取的。MOCHA有一个分类模块，它将每个特征归类为更好地描述它的统计分布。作为验证过程，所有的轨迹都使用T-SNE方法进行了数据可视化比较，得到了相似轨迹的近似值。使用mocha的优势之一是它的易用性，能够读取不同的轨迹格式并将其转换为标准格式，允许比较不同类型的轨迹，如签到、GPS、联系人等。该工具中使用的度量可以成为文献中跟踪分析和比较的标准，从而可以更好地了解一个跟踪与其他跟踪的关系。摩卡咖啡可从https://github.com/wisemap-ufmg/MOCHA.下载
There are many mobility models in the literature with diverse formats and origins. Besides the existence of studies that analyze and characterize these models, there is a need for a framework that can compare them in an easy way. MOCHA (Mobility framework for CHaracteristics Analysis) is a tool that characterizes and makes possible the comparison of mobility models without any hard work. We implemented 9 social, spatial and temporal characteristics, which were extracted from various (real and synthetic) distinct mobility traces. MOCHA has a classifying module that attributes each characteristic the statistic distribution that better describes it. As a validation process, all the traces were compared using the T-SNE method for data visualization, resulting in the approximation of similar traces. One of the advantages of using MOCHA is its ease of use, being able to read diverse traces formats and converting them to its standard format, allowing that different types of traces, such as check-in, GPS, contacts, and so on, to be compared. The metrics used in the tool can become a standard for trace analysis and comparison in the literature, allowing a better vision of where one trace belongs related to others. MOCHA is available for download at https://github.com/wisemap-ufmg/MOCHA.