摘要
社交网络的研究应用领域广泛,大多数的研究主要关注于社交网络结构中节点和链接的变化,研究角度较为单一.而群组协作关系在社交网络中较为普遍,为更好地探索群组协作过程中群组级别网络结构的演变,首先将组级任务添加到用于图可视化的任务分类中,针对协作关系网络的特性,设置一个适用于群组协作关系分析的任务分类法,根据此任务分类法设置探究群组协作需完成的任务;然后设计相关可视化视图,以更直观的方式展示群组之间以及群组内部协作关系的特征以及随时间推进的演变模式;最后在学术协作文献数据集上进行具体案例分析,通过用户评估实验,采用李克特量表对调查问卷进行分析,验证了设计可视化视图的有效性和实用性,可为社交网络关系分析人员提供群组协作的可视化分析方法,更便于对群组协作网络关系的进一步探究和应用.
The study of social networks is widely applied,which is mainly focused on the change of the social network structure of node and link,and the research angle is relatively single.Group collaboration is common in social networks.To better explore the evolution of group-level network structure in the process of group collaboration,this paper first adds group-level tasks to the task classification for graphic visualization.A task taxonomy suitable for group collaboration relationship analysis is set up according to the characteristics of collaborative relationship networks and tasks to be completed for group collaboration are set up according to this task taxonomy.Then,relevant visual views are designed to display the features and evolution patterns of collaborative relationships among and within groups in a more intuitive way.Finally,a specific case analysis was carried out on the academic collaboration literature data set.Through user evaluation experiments,the Likert scale was used to analyze the questionnaire to verify the effectiveness and practicability of the design visualization view,so as to provide a visual analysis method of group collaboration for social network relationship analysts,facilitating further exploration and application of group collaboration network relationships.
作者
路强
黄静
盛开维
徐文强
Lu Qiang;Huang Jing;Sheng Kaiwei;Xu Wenqiang(Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology),Hefei 230009;School of Computer and Information,Hefei University of Technology,Hefei 230601;Intelligent Interconnected Systems Laboratory of Anhui Province(Hefei University of Technology),Hefei 230009)
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2021年第2期177-185,共9页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(61972130)
安徽省黄山市科技计划(2019KN-05).
关键词
社交网络
群组协作
可视化分析
任务分类
可视化设计
social network
group collaborative
visual analysis
task classification
visual design
