在线社会关系语义化度量的可视化分析

doi:10.3969/j.issn.0253-2778.2018.04.007

中国科学技术大学学报 ›› 2018, Vol. 48 ›› Issue (4): 314-321.DOI: 10.3969/j.issn.0253-2778.2018.04.007

在线社会关系语义化度量的可视化分析

王渊，孙樱郡，王博，杨朝洲，杨量

1.天津大学计算机科学与技术学院, 天津 300000；2.天津大学天津市认知计算与应用重点实验室, 天津 300000

收稿日期:2017-05-31 修回日期:2017-06-25 出版日期:2018-04-30 发布日期:2018-04-30
通讯作者: 王博
作者简介:王渊，女，1994年生，硕士研究生，研究方向：社会计算. E-mail: 939931891@qq.com
基金资助:
国家自然科学基金联合培育项目(U1736219),国家自然科学基金联合重点项目(U1636203),国家重点研发计划(2017YFE0111900),天津市自然科学基金青年项目(14JCQNJC00400),国家社科重大项目(14ZDB153),国家重点基础研究发展计划（973）(2013CB329304)资助.

Visual analysis of semantic measuring of online social relationships

WANG Yuan, SUN Yingjun, WANG Bo, YANG Chaozhou, YANG Liang

1. School of Computer Science and Technology, Tianjin University, Tianjin 300000, China;

2. Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin 300000, China）

Received:2017-05-31 Revised:2017-06-25 Online:2018-04-30 Published:2018-04-30

摘要/Abstract

摘要： 传统的社会关系分析中，社会关系的属性被视为客观且独立于参与者主观认知的.然而，在涉及人物主观行为分析的社会计算问题中，关系参与者对关系属性的主观认知时常比关系属性的客观值更加重要.为此尝试利用人们之间的互动语言内容，来可视化刻画和分析关系双方对关系强度的主观认知.从互动语言中提取4种可以用于刻画互动语言关键的语言特征，包括频度、长度、规范度和情感极性，并通过将个人语言习惯因素从互动语言特征值中排除，更加客观地反映关系参与者对关系的主观认知.在量化基础上，从不同的观察角度，设计并实现了一套较为完整的社会关系语义化度量可视化展示及分析系统.最后，以电子邮件数据为例，验证并展示了社会关系语义化度量的可视化结果，并基于可视化结果初步分析了影响社会关系语义化属性的若干因素.

关键词: 社会关系分析, 社会网络, 互动语言, 可视化分析, 语义化度量

Abstract: In the traditional social relationships analysis, the attribute of social relation is regarded as objective and independent of the subjective cognition of the participant. However, in the social computing studies related to subjective behaviors, subjective features are often more important than objective features. The semantics of social relationship with the interactive language between individuals is visualized. Based on The key features of the interactive language in the theory of social linguistics, four language features to describe the semantics of social relationships are calculated, including frequency, length, fluency and sentiment polarity. By measuring and distinguishing personal language habits, the semantic measuring of social relationship more appropriate. To make semantic measuring more understand, a visual analysis system is implemented for online social relationships using Email data as a case, and the factors related to the semantic features of online social relationships are priminarily analyzed.

Key words: social relationships analysis, social network, interactive language, visualization, semantic measuring

中图分类号:

TP391

王渊，孙樱郡，王博，杨朝洲，杨量. 在线社会关系语义化度量的可视化分析[J]. 中国科学技术大学学报, 2018, 48(4): 314-321.

WANG Yuan, SUN Yingjun, WANG Bo, YANG Chaozhou, YANG Liang. Visual analysis of semantic measuring of online social relationships[J]. Journal of University of Science and Technology of China, 2018, 48(4): 314-321.

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在线社会关系语义化度量的可视化分析

Visual analysis of semantic measuring of online social relationships

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