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On the Characterization of Revisitation Patterns in Complex Human Dynamics - A Data Science Approach.

机译：复杂人类动力学中复习模式的表征-一种数据科学方法。

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摘要

When it comes to visitation patterns, humans beings are extremely regular and predictable, with recurrent activities responsible for most of our movements. In recent years, we have seen scientists attempt to model and explain human dynamics and in particular human movement. Akin to other human behaviors, traveling patterns evolve from the convolution between internal and external factors. A better understanding on the mechanisms responsible for transforming and incorporating individual events into regular patterns is of fundamental importance. Many aspects of our complex lives are affected by human movements such as disease spread and epidemics modeling, city planning, wireless network development, and disaster relief, to name a few. Given the myriad of applications, it is clear that a complete understanding of how people move in space can lead to considerable benefits to our society. In most of the recent works, scientists have focused on the idea that people movements are biased towards frequently-visited locations. According to them, human movement is based on a exploration/exploitation dichotomy in which individuals choose new locations (exploration) or return to frequently-visited locations (exploitation). In this dissertation we present some of our contributions to the field, such as the presence of a recency effect in human mobility and Web browsing behaviors as well as the Returner vs. Explorers dichotomy in Web browsing trajectories.
机译：当涉及到探视方式时，人类是非常规律和可预测的，经常性活动是造成我们大多数运动的原因。近年来，我们已经看到科学家试图模拟和解释人类动力学，尤其是人类运动。类似于其他人类行为，旅行方式是由内部和外部因素之间的卷积演变而来的。对负责将单个事件转换和合并为常规模式的机制的更好理解至关重要。我们的复杂生活的许多方面都受到人类运动的影响，例如疾病传播和流行病建模，城市规划，无线网络发展以及救灾等。鉴于有无数种应用，很显然，对人们如何在太空中运动的全面理解可以为我们的社会带来可观的收益。在最近的大多数作品中，科学家都将注意力集中在人们的活动偏向经常去的地方这一观念上。他们认为，人类运动是基于探索/开发二分法的，其中个人选择新的位置（探索）或返回到经常访问的位置（开发）。在本文中，我们介绍了我们对该领域的一些贡献，例如在人类移动性和Web浏览行为中是否存在新近度效应，以及Web浏览轨迹中的Returner vs. Explorers二分法。

著录项

  • 作者

    Barbosa Filho, Hugo Serrano.;

  • 作者单位

    Florida Institute of Technology.;

  • 授予单位 Florida Institute of Technology.;
  • 学科 Computer science.;Condensed matter physics.;Information technology.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 87 p.
  • 总页数 87
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学（农艺学）;
  • 关键词

  • 入库时间 2022-08-17 11:40:19

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