本文選題：手機數據 + 社會網絡�。� 參考：《電子科技大學》2014年碩士論文

【摘要】：近年來,隨著手機設備的逐漸普及,手機數據在城市規(guī)劃中的應用受到了越來越多的關注。手機數據不僅包含用戶的通話信息,而且還包含用戶的位置信息,可以用于分析用戶的移動軌跡和通話模式。由于手機設備的普及,手機數據中幾乎包含了所有人的通話和位置信息,現在手機數據還可以用于分析城市的行為特征。這些行為特征可以被挖掘出來,給城市規(guī)劃者和政府決策者提供更為全面的城市分析結果,從而做出更合理的城市規(guī)劃。本文旨在分析基站覆蓋區(qū)域內用戶群體的通話模式,研究城市的行為特征。本文的工作概括為以下幾點:(1)基于基站間的通話聯系圖,對城市進行了區(qū)域劃分。首先分析了基站間通話圖的網絡統(tǒng)計特征,發(fā)現該網絡具有行政區(qū)域性質的同質性。其次,采用Louvain算法對該網絡進行了劃分,劃分結果在地圖上的分布與實際的行政區(qū)域劃分比較一致。(2)基于基站間的通話聯系圖,對城市的社區(qū)演變過程進行了跟蹤。采用一個基于Louvain算法的社團演化跟蹤算法,分析了工作日和周末、每天不同時刻城市的社區(qū)演變過程。實驗結果表明,無論何時人們都傾向于聯系距離自己近的人,并且發(fā)現社區(qū)的演化與人們的移動有關。(3)基于基站的活動,對城市不同地區(qū)的土地利用情況進行了識別。將基站的活動看作一個信號,用相關系數來度量基站活動的相似度,并根據基站活動的相似度構建了基站間的相似關系網。通過分析該相似關系網的社團結構,對基站覆蓋區(qū)域的土地利用類型進行了識別。基站間的通話圖以及基站的活動表面上似乎是研究基站的行為,其實研究的是基站覆蓋區(qū)域的用戶群體的行為。實際生活中,每一個基站都對應著一個覆蓋區(qū)域,該區(qū)域的使用情況與該區(qū)域下人們的活動息息相關,因此本文以基站為研究對象,從群體的角度分析人們的通話行為,希望可以了解到城市的變化和城市設施的使用情況。
[Abstract]:In recent years, with the popularity of mobile devices, the application of mobile phone data in urban planning has received more and more attention. The mobile phone data not only contains the user's call information, but also contains the user's location information, which can be used to analyze the user's mobile track and call mode. Because of the popularity of mobile devices, mobile phone data almost contain all the phone and location information, now mobile phone data can also be used to analyze the behavior characteristics of the city. These behavioral characteristics can be excavated to provide urban planners and government decision makers with more comprehensive urban analysis results and thus to make more rational urban planning. The purpose of this paper is to analyze the call modes of user groups in the base station coverage area and to study the behavior characteristics of the city. The work of this paper is summarized as follows: (1) based on the telephone contact diagram between the base stations, the area of the city is divided. Firstly, the network statistical characteristics of the call graph between base stations are analyzed, and it is found that the network has the homogeneity of administrative region. Secondly, the network is partitioned by Louvain algorithm, and the distribution on the map is consistent with the actual administrative division. (2) based on the telephone contact diagram between base stations, the evolution process of the city community is tracked. A community evolution tracking algorithm based on Louvain algorithm is used to analyze the process of community evolution in cities at different times of working day and weekend. The experimental results show that people tend to contact people who are close to them at any time, and find that the evolution of communities is related to people's movement. (3) based on the activities of base stations, land use in different areas of cities is identified. The activity of base station is regarded as a signal, and the similarity of base station activity is measured by correlation coefficient, and the similarity relation network between base stations is constructed according to the similarity of base station activity. By analyzing the community structure of the similar network, the land use types of the base station coverage area are identified. On the surface, the call diagram and the activity of the base station seem to study the behavior of the base station, in fact, what is studied is the behavior of the user group in the area covered by the base station. In real life, each base station corresponds to a coverage area, and the use of this area is closely related to the activities of people in the region. Therefore, this paper takes the base station as the research object and analyzes the communication behavior of people from the point of view of the group. Hope to know about the changes in the city and the use of urban facilities.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN929.5

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本文編號：2108738