多模态异构移动社会网络社区发现研究

移动社会网络是一种全新的连接与融合信息空间和物理空间的网络形态，承载着人类社会交互过程中形成的复杂结构模式。如何从纷繁芜杂的移动社会网络中高效而准确地发现社区结构是一个具有挑战性的研究问题。本项目将以基于位置的社会网络这一典型多模态异构移动社会网络为研究平台，对社区发现的相关问题进行深入分析和研究。具体研究内容包括面向多模态异构移动社会网络的（1）社区模型；（2）社区发现方法；与（3）社区质量评价机制。本研究的意义在于通过构建具有普遍适应性的统一社区模型，发现蕴含于移动社会网络的社区，建立适合多模态异构移动社会网络特点的社区质量评价机制，一方面有利于推动社区形成与演化规律研究，促进人与人之间的社会交互，提升用户的社区体验；另一方面通过将研究成果推广到涉及社区结构的潜在应用领域，可以为公共安全、健康卫生等国家重大战略需求提供理论和技术支持。

With the rapid development of mobile computing and wireless communication technologies, especially the wide adoption of sensor-rich smartphones, mobile social networks (MSNs) have been experiencing increasing popularity. Compared with traditional social network, MSN is a new type of social network which connects and integrates the cyber and physical spaces, and thereby reflects the complicated social interaction patterns of human beings. It is an enormously challenging undertaking to effectively discover communities in MSNs. Based on pervasive computing and social computing technologies, this project will focus on discovering communities in multi-mode heterogeneous mobile social networks, by taking location-based social networks as the research platform. In detail, we aim to study (1) community modeling method, (2) community detection algorithm, and (3) community evaluation mechanism. This research project has general values both in theory and practice. On one hand, the research result could contribute to the study on community formation and evolution, the promotion of social interactions, the enhancement of community experience, etc. On the other hand, it could also provide theory and technology support for applications with national critical demands such as public security, health care, city management, etc.