Please wait a minute...
Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (4): 48-58    DOI: 10.11925/infotech.2096-3467.2017.0904
Orginal Article Current Issue | Archive | Adv Search |
Analyzing Characteristics and Dynamics of User Behaviors in Social Q&A Community: Case Study of Zhihu.com
Guo Bo1, Zhao Junrui2(), Sun Yu3
1Meizu Technology Co., Ltd., Beijing 100872, China
2College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China;
3Computer Science Department, California State Polytechnic University, Pomona 91768, USA
Download: PDF (4674 KB)   HTML ( 5
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] This paper aims to explore users’ relationship network and behaviors in the social question and answer (Q&A) communities. [Methods] First, we retrieved the publicly accessible user profiles and Q&A data from Zhihu.com, a popular online Q&A community in China. Then, we analyzed the social network structure, the user profiles and the time statistics of users’ behaviors based on complex network and human dynamics theories. [Results] The Zhihu users showed some similar behaviors at the individual and group levels. The inter-event time and waiting time followed the power-law distribution, with power index values of 0.68 and 1.51, respectively. The degree distribution of the relationship network, the amount of users’ answers, support, and comments met the exponential truncated power-law distribution. The overall behaviors of Zhihu users were of significant heterogeneity and multiple scale characteristics. [Limitations] The sample size needs to be expanded and more research is needed to compare our findings with studies of other social Q&A communities. [Conclusions] This study reveals the relationship between the user’s behaviors and information dissemination on Zhihu.com, which explores the network structure and the information flow of social question and answer communities.

Key wordsZhihu      Social Network      Human Dynamics      Power-law Distribution     
Received: 07 September 2017      Published: 11 May 2018
ZTFLH:  G350  

Cite this article:

Guo Bo,Zhao Junrui,Sun Yu. Analyzing Characteristics and Dynamics of User Behaviors in Social Q&A Community: Case Study of Zhihu.com. Data Analysis and Knowledge Discovery, 2018, 2(4): 48-58.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.0904     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I4/48

[1] 李瑾颉, 吴联仁, 齐佳音, 等. 基于人类动力学的在线社交网络信息传播研究[J]. 电子与信息学报, 2017, 39(4): 785-793.
[1] (Li Jinjie, Wu Lianren, Qi Jiayin, et al.Research on Information Dissemination in Online Social Network Based on Human Dynamics[J]. Journal of Electronics & Information Technology, 2017, 39(4): 785-793.)
[2] Barabási A L.The Origin of Bursts and Heavy Tails in Human Dynamics[J]. Nature, 2005, 435(7039): 207.
doi: 10.1038/nature03459 pmid: 15889093
[3] Vázquez A, Oliveira J G, Dezsö Z, et al.Modeling Bursts and Heavy Tails in Human Dynamics[J]. Physical Review E: Statistical Nonlinear & Soft Matter Physics, 2006, 73(3): 036127.
doi: 10.1103/PhysRevE.73.036127 pmid: 16605618
[4] Zhou T, Kiet H A T, Kim B J, et al. Role of Activity in Human Dynamics[J]. EPL, 2008, 82(2): 28002.
doi: 10.1209/0295-5075/82/28002
[5] Dezsö Z, Almaas E, Lukács A, et al.Dynamics of Information Access on the Web[J]. Physical Review E: Statistical Nonlinear & Soft Matter Physics, 2006, 73(6): 066132.
doi: 10.1103/PhysRevE.73.066132 pmid: 16906939
[6] Henderson T, Bhatti S.Modelling User Behaviour in Networked Games[C]//Proceedings of the 9th ACM International Conference on Multimedia. ACM, 2001: 212-220.
[7] 郭进利. 博客评论的人类行为动力学实证研究和建模[J]. 计算机应用研究, 2011, 28(4): 1422-1424.
doi: 10.3969/j.issn.1001-3695.2011.04.062
[7] (Guo Jinli.Empirical Study and Modeling of Human Behaviour Dynamics of Comments on Blog Posts[J]. Application Research of Computers, 2011, 28(4): 1422-1424.)
doi: 10.3969/j.issn.1001-3695.2011.04.062
[8] Gao L, Guo J L, Fan C, et al.Individual and Group Dynamics in Purchasing Activity[J]. Physica A: Statistical Mechanics & Its Applications, 2013, 392(2): 343-349.
doi: 10.1016/j.physa.2012.07.047
[9] Joachims T, Freitag D, Mitchell T.WebWatcher: A Tour Guide for the World Wide Web[C]// Proceedings of the 5th International Joint Conference on Artificial Intelligence.1997.
[10] Yan Q, Yi L, Wu L.Human Dynamic Model Co-Driven by Interest and Social Identity in the MicroBlog Community[J]. Physica A: Statistical Mechanics & Its Applications, 2012, 391(4): 1540-1545.
doi: 10.1016/j.physa.2011.08.038
[11] Jiang Z, Zhang Y, Wang H, et al.Understanding Human Dynamics in Microblog Posting Activities[J]. Journal of Statistical Mechanics Theory & Experiment, 2013(2): P02006.
doi: 10.1088/1742-5468/2013/02/P02006
[12] Wang C, Guan X, Qin T, et al.Modeling the Heterogeneity of Human Dynamics Based on the Measurements of Influential Users in Sina Microblog[J]. Physica A: Statistical Mechanics and Its Applications, 2015, 428: 239-249.
doi: 10.1016/j.physa.2015.02.024
[13] 胡媛. 虚拟知识社区中的知识链接关系分析[J]. 情报科学, 2013, 31(10): 139-143.
[13] (Hu Yuan.Analysis of Knowledge Linking Relationships in Virtual Knowledge Community[J]. Information Science, 2013, 31(10): 139-143.)
[14] Fu H, Fan Y.Music Information Seeking via Social Q&A: An Analysis of Questions in Music StackExchange Community[C]// Proceedings of the IEEE/ACM Joint Conference on Digital Libraries. IEEE, 2016: 139-142.
[15] Liu J, Wang Y.Information Worth Spreading: An Exploration of Information Sharing from Social Q&A to Other Social Media Platforms[C]// Proceedings of the 2016 Association for Information Science & Technology. 2016.
[16] 刘佩, 林如鹏. 网络问答社区“知乎”的知识分享与传播行为研究[J]. 图书情报知识, 2015(6): 109-119.
doi: 10.13366/j.dik.2015.06.109
[16] (Liu Pei, Lin Rupeng.Research on Knowledge Sharing and Dissemination Behavior of Online Q&A Services: Taking Zhihu as an Example[J]. Documentation, Information & Knowledge, 2015(6): 109-119.)
doi: 10.13366/j.dik.2015.06.109
[17] Wang Z, Zhang P.Examining User Roles in Social Q&A: The Case of Health Topics in Zhihu.com[C]// Proceedings of the 2016 Association for Information Science & Technology. 2016.
[18] 刘雨农, 刘敏榕. 社会化问答平台的社区网络形态与意见领袖特征——以知乎网为例[J]. 情报资料工作, 2017(2): 106-112.
[18] (Liu Yunong, Liu Minrong.Socialized Q&A Platform Community Network Morphology and Characteristics of Opinion Leaders: Taking Zhihu.com for Example[J]. Information and Documentation Services, 2017(2): 106-112.)
[19] Zhang L, Li H, Zhao C, et al.Social Network Information Propagation Model Based on Individual Behavior[J]. China Communication, 2017, 14(7): 78-92.
doi: 10.1109/CC.2017.7942316
[20] Zhang J, Ackerman M S, Adamic L.Expertise Networks in Online Communities: Structure and Algorithms[C]// Proceedings of the 16th International Conference on World Wide Web. ACM, 2007: 221-230.
[21] 毛国君, 谢松燕, 胡殿军. PageRank模型的改进及微博用户影响力挖掘算法[J]. 计算机应用与软件, 2017, 34(5): 28-32.
doi: 10.3969/j.issn.1000-386x.2017.05.005
[21] (Mao Guojun, Xie Songyan, Hu Dianjun.Improvement of PageRank Model and Mining Algorithm of Microblog User Influence[J]. Computer Applications and Software, 2017, 34(5): 28-32.)
doi: 10.3969/j.issn.1000-386x.2017.05.005
[22] Etikan I, Alkassim R, Abubakar S.Comparision of Snowball Sampling and Sequential Sampling Technique[J]. Biometrics and Biostatistics International Journal, 2016, 3(1): 00055.
[1] Wang Xiwei,Jia Ruonan,Wei Yanan,Zhang Liu. Clustering User Groups of Public Opinion Events from Multi-dimensional Social Network[J]. 数据分析与知识发现, 2021, 5(6): 25-35.
[2] Ma Yingxue,Zhao Jichang. Patterns and Evolution of Public Opinion on Weibo During Natural Disasters: Case Study of Typhoons and Rainstorms[J]. 数据分析与知识发现, 2021, 5(6): 66-79.
[3] Gao Yilin,Min Chao. Comparing Technology Diffusion Structure of China and the U.S. to Countries Along the Belt and Road[J]. 数据分析与知识发现, 2021, 5(6): 80-92.
[4] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[5] Shen Wang, Li Shiyu, Liu Jiayu, Li He. Optimizing Quality Evaluation for Answers of Q&A Community[J]. 数据分析与知识发现, 2021, 5(2): 83-93.
[6] Xu Yabin, Sun Qiutian. Identifying Leaders and Dissemination Paths of Public Opinion[J]. 数据分析与知识发现, 2021, 5(2): 32-42.
[7] Peng Guan,Yuefen Wang. Advances in Patent Network[J]. 数据分析与知识发现, 2020, 4(1): 26-39.
[8] Yan Wen,Lijian Ma,Qingtian Zeng,Wenyan Guo. POI Recommendation Based on Geographic and Social Relationship Preferences[J]. 数据分析与知识发现, 2019, 3(8): 30-39.
[9] Liqing Qiu,Wei Jia,Xin Fan. Influence Maximization Algorithm Based on Overlapping Community[J]. 数据分析与知识发现, 2019, 3(7): 94-102.
[10] Xiaolan Wu,Chengzhi Zhang. Analysis of Knowledge Flow Based on Academic Social Networks:
A Case Study of ScienceNet.cn
[J]. 数据分析与知识发现, 2019, 3(4): 107-116.
[11] Xinrui Wang,Yue He. Predicting Stock Market Fluctuations with Social Media Behaviors: Case Study of Sina Finance Blog[J]. 数据分析与知识发现, 2019, 3(11): 108-119.
[12] He Yue,Feng Yue,Zhao Shupeng,Ma Yufeng. Recommending Contents Based on Zhihu Q&A Community: Case Study of Logistics Topics[J]. 数据分析与知识发现, 2018, 2(9): 42-49.
[13] Wu Jiehua,Shen Jing,Zhou Bei. Classifying Multilayer Social Network Links Based on Transfer Component Analysis[J]. 数据分析与知识发现, 2018, 2(9): 88-99.
[14] Ye Guanghui,Hu Jinglan,Xu Jian,Xia Lixin. Analyzing Growth Trends and Attachment Mode of Social Blog Tags[J]. 数据分析与知识发现, 2018, 2(6): 70-78.
[15] Wang Feifei,Zhang Shengtai. Analyzing Information Behaviors of Mobile Social Network Users[J]. 数据分析与知识发现, 2018, 2(4): 99-109.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn