英语论文网

人类迁移数据是人类机动性概念当中的重要工具，可以通过一系列方法论来进行探究。在多数情况下，移动电话的使用为一段时期内追踪频繁使用者的研究工作提供了有效方法，揭露人们会迁移或近或远的距离，范围到数百公里。这种人类运动趋势已经驱使大部分国家政府重新思考自己的安居政策，以此在人类流动模式中有效应对戏剧性变化。这样的迁移原因每个人都不相同，每种文化内部都不相同，每个地理区域内也不相同。总的来说，人们迁移主要可能是为了进行贸易、工作或者仅仅是休闲。也可能有不利条件迫使人们迁移。概念上讲，人类流动的多样性使得地球成为了地球村。

在计算机网络中，人类流动性趋势在很多学科当中都有至关重要的地位。根本上讲，研究人类行为及其特征对于移动网络和无线社区有很大好处，尤其是在大规模数据可以获取的情况下。然而，收集人类流动性数据对于研究者来说颇具挑战，因此需要所有利益相关者的大力支持。因此，研究者使用了各种模型来推动大规模流动数据收集工作的开展，这些数据对于研究很有帮助。举个例子，社交网络的流行对收集拓扑学信息十分有帮助，在线社交网络能够提供关系线索。

Human migration data is a crucial tool in the human mobility concept which can be explored using a range of methodologies. In most cases, mobile phone usage provides an effective way of tracking random users over a period of time, revealing that individuals travel short and long distances which may include hundreds of miles. This human movement tendency has made most countries to re-evaluate their settlement policies so as to govern the dramatic change in the patterns of human mobility. The reasons for movement vary from one individual to another, culture to culture or one geographical region to another. In a general view, people may move in order to trade, work or merely for leisure. Adverse conditions may also force people to migrate. Conceptually, diversity in human mobility has made the world a global village (Carr, 2010).

In computer networking, human mobility trends are critically important in a wide range of disciplines. Fundamentally, uncovering human behavior and its features has major benefits to the mobile networking and wireless community particularly if large scale data is available. However, collection of human mobility data is quite challenging for researchers hence requires support from all stakeholders in the networking fraternity. Consequently, different models have been put forward in a bid to contribute to the collection of large scale mobility data that is useful in various aspects of research. For instance, the popularity of social networking has favored the gathering of data on topology information regarding membership in online social networks. Large scale usage of mobile phones also has properties that can be used as a dimension to assess and build findings on human mobility (Mortier, n.d).

The duality of mobile networks is justified by the fact that the network has mobile nodes that are associated with human beings, who are mobile also. Such networks are therefore physical and social. Traces of human mobility have over time been gathered in different environments ranging from busy cities to quiet towns and residences in order to facilitate research on mobile and social networks as well as epidemiology. The objective of this research paper is to examine different human mobility models and their applications.