城市的存在与城市间相互关系始终是城市地理学重要的研究内容。随着要素流动的客观现实被不断揭示，对城市间相互关系的研究也从基于属性数据的地方空间研究发展到基于关系数据的流动空间研究，城市网络研究正是热点之一。在信息网络时代，新的数据和研究方法以其精准的用户定位和灵活的时间尺度不断冲击和促进着传统的研究方式。 本文将京津冀区域中的主要城市作为研究对象，利用网络分析法，借助百度搜索平台，使用百度指数搜索数据进行研究，利用问卷调查将虚拟的百度搜索数据化作代表网民出行意向的虚拟人口流动，构建城市群的信息流城市网络模型。参考时间地理学探究人基于时间尺度变化下的空间分异的研究思路和方法，利用百度指数数据灵活、尺度多变的特点，分别构建年、月、日三种时间尺度下京津冀城市网络，分析其网络结构、网络强度演化特征，并将虚拟化网络投射到现实城市中，揭示各城市在信息流网络视角下的发展现状，为城市网络分析提供新的研究尺度，为城市群一体化发展提供新的战略视角。 实证研究结果表明：（1）年演化特征方面：京津冀百度指数信息流网络从2011年到2017年网络联系数量不断增加、网络联系结构不断复杂，年际城市网络结构由2011年的北京单中心的“手爪型”发散结构，发展到2017年以北京市为主中心、石家庄为副中心的双中心发散结构；（2）月演化特征方面：京津冀月际城市网络存在季节甚至月份差异，网络结构和网络数据强度都存在以两个自然年始末的数据对接形成以季度甚至以月为单位的城市网络强度及结构的周期性演化循环；（3）日演化特征方面：京津冀日际网络在不同日期种类间存在差异，网络强度和网络结构复杂程度上，节假日高于工作日高于周末，具体的网络城市节点和网络结构形状根据当月情况发生变化。 将网络投射到现实城市特征中发现：基于城市视角：北京持续在城市群中起到了强中心辐射作用；石家庄的省会效应突出、地位明显上升；天津没有发挥出与其经济体实力相当的辐射作用；保定在经历了未证实消息以及雄安新区政策等突发事件的影响后，地位先上升后下降至一般水平；秦皇岛在旅游旺季成为城市群内网民首要的出行意愿目的地；张家口、承德两市作为具有旅游性质的城市则仅吸引了北京网民的出行意向。基于城市群视角，城市群以天津市为分界线，城市群北部分布以休闲旅游、虚拟吸引为指向定位的城市（张家口、北京、天津、承德、秦皇岛），城市群南部分布以工作事务、实体经济为指向定位的城市（廊坊、唐山、沧州、保定、石家庄、衡水、石家庄、保定）。

The existence and relationship between cities are always important research contents of urban geography. As the objective reality of the flow of elements is constantly revealed, the research on city relations has also developed from the study of space of place using attribute data to the research of space of flow based on relational data, one of which is urban network research. In the era of information network, new data and research methods continue to impact traditional research with its precise user positioning characteristics and flexible time scale characteristics. In this paper, Jing-Jin-Ji urban agglomeration is used as the research area, using the network analysis method, using the Baidu search platform, using the Baidu index search data to study, and using the questionnaire survey to transform the virtual Baidu search data into the virtual population flow representing the travel intention of the netizens, and construct the urban network model based on information flow. According to the time geography, it explores the spatial differentiation of people in time scale, using the Baidu index data of flexible characteristics and the variable scale characteristics to construct the Jing-Jin-Ji urban agglomeration Urban Network under three scales of year, month and day respectively, analyze the evolution characteristics of network structure and the network strength, and project the virtual network to the real city. In addition, it reveals the development status of cities in the perspective of information network, provides a new research scale for urban network analysis, and provides a new strategic perspective for the integration of urban agglomeration. The empirical results show that:(1) from the annual scale aspect:The network connection amount of Jing-Jin-Ji urban agglomeration Baidu index information flow network is increasing from 2011 to 2017, and the network construction is constantly complicated. The annual urban network structure is developed from the "hand type" divergent structure of Beijing single center in 2011 to the double center divergent structure of Beijing city as the main center and Shijiazhuang as the sub center in 2017. (2) from the monthly scale aspect:The monthly urban network has the obvious difference between seasons and months. The data of two consecutive natural years are connected making the evolution cycle of urban network intensity and structure is formed by quarterly or even monthly.(3) from the daily scale aspect: There are obvious differences in the daytime network by the date category. In terms of network strength and complexity of the network structure, holidays are higher than the working days and are higher than the weekends. The specific network city nodes and network structure changes according to the current month. Projecting the network into the real city features, from the perspective of the city, Beijing continues to play a strong central role in the urban agglomeration, the prominent position of the provincial capital effect of Shijiazhuang has risen obviously, the Tianjin does not give full play to the radiation effect of its economic strength, Baoding's status rose first and then dropped to the general level after the unconfirmed news and the storm in Xiong’an new area. Qinhuangdao, as the lowest population and GDP, becomes the primary destination of the travel intention of the netizens in the urban agglomeration, however Chengde, Zhangjiakou, both as tourist city, only attracts the intention of the netizens of Beijing. From the perspective of urban agglomeration, the urban agglomeration takes Tianjin as the dividing line, and the northern part is guided by travel and virtual attraction (Zhangjiakou, Beijing, Tianjin, Chengde, Qinhuangdao), and the southern part of is guided by work and real economy (Langfang, Tangshan, Cangzhou, Baoding, Shijiazhuang, Hengshui, Shijiazhuang and Baoding).