基于新浪微博的社交网络数据分析与可视化系统设计与实现

发布时间：2018-03-20 03:21

本文选题：社交网络　切入点：微博　出处：《上海交通大学》2015年硕士论文　论文类型：学位论文

【摘要】：近年来,社交网络服务(SNS)正随着互联网技术的进步而迅猛发展,无论是推特、脸谱等国外社交网络站点,还是本土社交网络品牌新浪微博都越来越多地进入了普通人的网络生活与现实生活。在政治、经济、商业等各个领域,研究社交网络的信息传播方式、分析社交网络如何与现实世界相互影响都具有重大意义,国外学术机构、政府部门、商业公司早在09年即开始了相关领域的技术理论研究,开发实现了用于该目的的定制化系统。本文重点描述了如何设计与实现一套基于新浪微博的社交网络数据分析与可视化系统,目的在于尝试为中小型组织机构定制符合其自身业务特点的定制化数据分析工具。利用当前热门的大数据概念及与其匹配的系列实现技术,能够实现社交网络数据的采集、存储、分析;利用图论、自然语言处理等领域的算法能够实现数据潜在价值的进一步挖掘;利用html5等各类先进的前端展示技术能够实现将分析统计的结果数据通过易理解的直观方式呈现。通过系统的实际部署应用和相关测试,验证了系统达到了预期的功能性能需求,具备较高的可用性以开展数据分析相关工作。同时,系统对于业务功能的变更具备可维护性,可以根据需求进行及时调整。此外系统运营成本低,为中小型组织机构开展数据分析工作提供了良好支持。
[Abstract]:In recent years, social networking service SNS has been developing rapidly with the development of Internet technology, whether it is Twitter, Facebook and other foreign social networking sites. Sina Weibo, a local social network brand, has increasingly entered the online and real life of ordinary people. In politics, economy, business and other fields, it has studied the way social network information is disseminated. It is of great significance to analyze how social networks interact with the real world. Foreign academic institutions, government departments, and commercial companies began their technical and theoretical research in related fields as early as 2009. This paper mainly describes how to design and implement a set of social network data analysis and visualization system based on Sina Weibo. The purpose is to try to customize customized data analysis tools for small and medium-sized organizations according to their own business characteristics. Using the current popular concept of big data and its matching series of implementation technologies, the collection of social network data can be realized. Storage, analysis, use of graph theory, natural language processing and other areas of the algorithm can achieve further data mining potential value; Using various advanced front-end display technology such as html5, the result data of the analysis and statistics can be presented in an easy-to-understand and intuitive way. Through the actual deployment of the system and related tests, it is verified that the system has achieved the expected functional performance requirements. High availability for data analysis. At the same time, the system can be maintainable for changes in business functions, can be timely adjusted according to requirements. In addition, the operating costs of the system are low, For small and medium-sized organizations to carry out data analysis work to provide good support.
【学位授予单位】：上海交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP393.09

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