{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:15:59Z","timestamp":1754158559202,"version":"3.41.2"},"reference-count":42,"publisher":"Emerald","issue":"2\/3","license":[{"start":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T00:00:00Z","timestamp":1678147200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["EL"],"published-print":{"date-parts":[[2023,5,24]]},"abstract":"Purpose<\/jats:title>In the era of mobile internet, the social Q&A community has built a large-scale and complex knowledge label network through its internal knowledge units, and the scale and structure of the network have changed over time. By analysing the structural characteristics and evolution rules of knowledge label networks, the main purpose of this study is to understand the internal mechanisms of the replacement of old and new knowledge and the expansion of knowledge element boundaries, so as to explore the realization path of knowledge management in the new era from the perspective of complex networks.<\/jats:p><\/jats:sec>Design\/methodology\/approach<\/jats:title>This paper uses distributed crawlers to capture 419,349 samples from the Zhihu platform. Each sample contains 33 characteristic dimensions, and the natural year is used as the sliding window to divide the whole. In this study, the global knowledge label network and 11 local knowledge label networks are first constructed. Then, the degree distribution analysis and central node exploration of the knowledge label network are carried out using the complex network method. Finally, the average shortest path and average clustering coefficient of the network are analysed by the time series method, and the ARIMA model is used to predict the evolution of the correlation coefficient.<\/jats:p><\/jats:sec>Findings<\/jats:title>The research results show that the dissimilation degree of the degree distribution of the knowledge label network has gradually decreased from 2011 to 2021, and the attention of users in the knowledge community has shown a trend of distraction and diversification over time. With the expansion of the scale of the knowledge label network and the transformation to an information network, the network sparsity is becoming more and more obvious, and the knowledge granularity of the Q&A community is being refined and diversified. The prediction of the correlation coefficient of the knowledge label network by the ARIMA model shows that the connection between the labels is lacking diversity and the opinion strengthening phenomenon tends to strengthen, which is more likely to form the \u201cecho chamber effect\u201d, resulting in mutual isolation and even opposition between different circles. The Q&A community is about to enter a mature stage, and the corresponding status of each label has been finalized. The future development trend of label networks will be reflected in the substitution between labels, and the specific structure will not change significantly.<\/jats:p><\/jats:sec>Originality\/value<\/jats:title>The Q&A community model is the trend in Web 2.0 community development. This study proves the effectiveness of complex networks and time series prediction methods in knowledge label network mining in the Q&A community.<\/jats:p><\/jats:sec>","DOI":"10.1108\/el-10-2022-0241","type":"journal-article","created":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T00:50:16Z","timestamp":1678063816000},"page":"242-263","source":"Crossref","is-referenced-by-count":5,"title":["Analysis of the characteristics and evolution of knowledge label networks in the Q&A community: taking the Zhihu platform as an example"],"prefix":"10.1108","volume":"41","author":[{"given":"Xin","family":"Feng","sequence":"first","affiliation":[]},{"given":"Xu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yufei","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Haochuan","family":"Yu","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2023,3,7]]},"reference":[{"issue":"10","key":"key2023052306100329700_ref001","first-page":"85","article-title":"Dynamic evolution analysis on domain knowledge clustering","volume":"62","year":"2018","journal-title":"Library and Information Service"},{"issue":"15","key":"key2023052306100329700_ref002","first-page":"31","article-title":"Research on the development mode of knowledge payment platform from the perspective of long tail theory \u2013 taking Zhihu live as an example","volume":"7","year":"2021","journal-title":"New Media Research"},{"issue":"10","key":"key2023052306100329700_ref003","first-page":"15","article-title":"Evolution analysis of user knowledge collaborative innovation network in open innovation community","volume":"42","year":"2022","journal-title":"Journal of Modern Information"},{"issue":"2","key":"key2023052306100329700_ref004","first-page":"157","article-title":"Research progress of social tagging: based on WoS, LISA, ACM and IEEE databases","volume":"31","year":"2012","journal-title":"Journal of Intelligence"},{"issue":"3","key":"key2023052306100329700_ref007","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1108\/AJIM-04-2021-0122","article-title":"Recurrence quantification analysis of Q&A behavior from the perspective of explicit and tacit knowledge \u2013 an empirical study based on Zhihu\u2019s hashtags","volume":"74","year":"2022","journal-title":"Aslib Journal of Information Management"},{"issue":"9","key":"key2023052306100329700_ref005","first-page":"56","article-title":"Research on evolution characteristics of tagging networks based on complex motif \u2013 the case of Q&A learning community Zhihu","volume":"38","year":"2020","journal-title":"Information Science"},{"issue":"2","key":"key2023052306100329700_ref006","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1108\/IDD-07-2020-0084","article-title":"Temporal evolution of tagging subnetwork features and motif under different activity levels \u2013 take the Q&A community Zhihu as an example","volume":"49","year":"2021","journal-title":"Information Discovery and Delivery"},{"issue":"8","key":"key2023052306100329700_ref008","first-page":"27","article-title":"Research on the characteristics of collaborative tagging behavior \u2013 based on the empirical analysis of Douban movie label data","volume":"41","year":"2021","journal-title":"Journal of Modern Information"},{"issue":"2","key":"key2023052306100329700_ref009","first-page":"294","article-title":"The generation mechanism of label network","volume":"50","year":"2021","journal-title":"Journal of University of Electronic Science and Technology of China"},{"issue":"2","key":"key2023052306100329700_ref010","first-page":"53","article-title":"Expert discovery method based on user-tag heterogeneous network for community question answering","volume":"46","year":"2020","journal-title":"Computer Engineering"},{"issue":"10","key":"key2023052306100329700_ref011","first-page":"98","article-title":"Creating dynamic tags for social networking groups","volume":"3","year":"2019","journal-title":"Data Analysis and Knowledge Discovery"},{"issue":"1","key":"key2023052306100329700_ref012","first-page":"169","article-title":"A method for building tag systems based on semantic feature analysis","volume":"53","year":"2019","journal-title":"Journal of Xi'an Jiaotong University"},{"issue":"4","key":"key2023052306100329700_ref013","first-page":"436","article-title":"Modeling research of users\u2019 dynamic interests based on ontology and folksonomy","volume":"39","year":"2020","journal-title":"Journal of the China Society for Scientific and Technical Information"},{"issue":"4","key":"key2023052306100329700_ref014","first-page":"142","article-title":"Simulation experiment analysis of echo chamber effect of information transmission on social network platform","volume":"41","year":"2019","journal-title":"Modern Communication (Journal of Communication University of China)"},{"issue":"11","key":"key2023052306100329700_ref015","first-page":"13","article-title":"Research on hierarchical structure evolution of tags based on knowledge network","volume":"61","year":"2017","journal-title":"Library and Information Service"},{"key":"key2023052306100329700_ref016","doi-asserted-by":"crossref","first-page":"7392186","DOI":"10.1155\/2022\/7392186","article-title":"Understanding the dynamics of knowledge building process in online knowledge-sharing platform: a structural analysis of Zhihu tag network","volume":"2022","year":"2022","journal-title":"Complexity"},{"issue":"5","key":"key2023052306100329700_ref017","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1108\/14684521211275966","article-title":"The sustainability and stabilization of tag vocabulary in CiteULike","volume":"36","year":"2012","journal-title":"Online Information Review"},{"issue":"2","key":"key2023052306100329700_ref018","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1108\/OIR-11-2012-0124","article-title":"Utilising social network analysis to study the characteristics and functions of the co-occurrence network of online tags","volume":"38","year":"2014","journal-title":"Online Information Review"},{"issue":"5","key":"key2023052306100329700_ref019","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1177\/0165551515603321","article-title":"Profiling users with tag networks in diffusion-based personalized recommendation","volume":"42","year":"2016","journal-title":"Journal of Information Science"},{"issue":"1","key":"key2023052306100329700_ref020","first-page":"4","article-title":"Cognitive characteristics of users in the tagging books environment","volume":"40","year":"2014","journal-title":"Journal of Library Science in China"},{"issue":"8","key":"key2023052306100329700_ref021","first-page":"817","article-title":"Empirical analysis of characteristics of wiki knowledge network from the perspective of knowledge collaboration \u2013 a case study of Wikipedia","volume":"32","year":"2013","journal-title":"Journal of the China Society for Scientific and Technical Information"},{"key":"key2023052306100329700_ref022","first-page":"1","article-title":"Leveraging collective intelligence through community detection in tag networks","volume":"9","year":"2009","journal-title":"Proceedings of CKCaR"},{"issue":"7","key":"key2023052306100329700_ref023","first-page":"8","article-title":"Content analysis as a tool for folksonomy research in China","volume":"34","year":"2014","journal-title":"Library Tribune"},{"issue":"1","key":"key2023052306100329700_ref024","first-page":"70","article-title":"Hierarchical sequence index for subgraph query on large-scale dynamic labeled graph","volume":"55","year":"2019","journal-title":"Computer Engineering and Applications"},{"issue":"5","key":"key2023052306100329700_ref025","first-page":"125","article-title":"Academic blog knowledge resource aggregations based on tag co-occurrences","volume":"34","year":"2016","journal-title":"Information Science"},{"key":"key2023052306100329700_ref026","doi-asserted-by":"publisher","DOI":"10.1108\/AJIM-08-2022-0353","article-title":"Order and disorder in the evolution of online knowledge community: an investigation of the chaotic behavior in social tagging systems with evidence of stack overflow","year":"2023","journal-title":"Aslib Journal of Information Management"},{"issue":"5","key":"key2023052306100329700_ref028","first-page":"67","article-title":"The interaction between the tag and the user of network centrality-based folksonomy model","volume":"37","year":"2016","journal-title":"Information and Documentation Services"},{"issue":"14","key":"key2023052306100329700_ref027","first-page":"132","article-title":"Analysis on the principle of knowledge network at level based on scale-free and fractal theory","volume":"61","year":"2017","journal-title":"Library and Information Service"},{"issue":"14","key":"key2023052306100329700_ref029","first-page":"128","article-title":"Research on the dynamic evolution of domain knowledge based on the network centrality","volume":"60","year":"2016","journal-title":"Library and Information Service"},{"key":"key2023052306100329700_ref030","doi-asserted-by":"publisher","DOI":"10.1108\/LHT-04-2022-0195","article-title":"Characteristics analysis and evaluation of discourse leading for academic journals: perspectives from multiple integration of altmetrics indicators and evaluation methods","year":"2022","journal-title":"Library Hi Tech"},{"key":"key2023052306100329700_ref031","doi-asserted-by":"publisher","first-page":"1655515221107334","DOI":"10.1177\/01655515221107334","article-title":"Research on the discourse power evaluation of academic journals from the perspective of multiple fusion: taking medicine, general and internal journals as an example","year":"2022","journal-title":"Journal of Information Science"},{"key":"key2023052306100329700_ref032","doi-asserted-by":"publisher","DOI":"10.1108\/LHT-09-2021-0296","article-title":"Research on the relationships between discourse leading indicators and citations: perspectives from altmetrics indicators of international multidisciplinary academic journals","year":"2022","journal-title":"Library Hi Tech"},{"key":"key2023052306100329700_ref033","doi-asserted-by":"publisher","DOI":"10.1108\/AJIM-04-2022-0229","article-title":"Analysis of the structure and time-series evolution of knowledge label network from a complex perspective","year":"2022","journal-title":"Aslib Journal of Information Management"},{"issue":"10","key":"key2023052306100329700_ref034","first-page":"2611","article-title":"Multi-dimensional tag recommender model via heterogeneous networks","volume":"28","year":"2017","journal-title":"Journal of Software"},{"issue":"5","key":"key2023052306100329700_ref035","first-page":"91","article-title":"Micro-blog content recommendation method based on social tag mining","volume":"39","year":"2021","journal-title":"Information Science"},{"issue":"2","key":"key2023052306100329700_ref036","doi-asserted-by":"crossref","first-page":"e0118410","DOI":"10.1371\/journal.pone.0118410","article-title":"Topicality and impact in social media: diverse messages, focused messengers","volume":"10","year":"2015","journal-title":"PLoS One"},{"issue":"11","key":"key2023052306100329700_ref037","first-page":"2194","article-title":"Complex network analysis of tag as a social network","volume":"44","year":"2010","journal-title":"Journal of Zhejiang University (Engineering Science)"},{"issue":"2","key":"key2023052306100329700_ref038","first-page":"50","article-title":"Evolution of knowledge push network based on social network in social tagging system","volume":"40","year":"2014","journal-title":"Journal of Library Science in China"},{"issue":"2","key":"key2023052306100329700_ref039","first-page":"107","article-title":"A research on the tag network analysis based on social network analysis (SNA) and the personalized information service","volume":"36","year":"2010","journal-title":"Journal of Library Science in China"},{"issue":"7","key":"key2023052306100329700_ref040","first-page":"103","article-title":"Structure and evolution of co-word network: concept and research review","volume":"33","year":"2014","journal-title":"Journal of Intelligence"},{"issue":"4","key":"key2023052306100329700_ref041","first-page":"179","article-title":"Model for personalized resource recommendation based on tags networks clustering","volume":"33","year":"2014","journal-title":"Journal of Intelligence"},{"issue":"1","key":"key2023052306100329700_ref042","first-page":"456","article-title":"Finding critical users in social communities via graph convolutions","volume":"35","year":"2021","journal-title":"IEEE Transactions on Knowledge and Data Engineering"}],"container-title":["The Electronic Library"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/EL-10-2022-0241\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/EL-10-2022-0241\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T01:08:17Z","timestamp":1753405697000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/el\/article\/41\/2-3\/242-263\/91011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,7]]},"references-count":42,"journal-issue":{"issue":"2\/3","published-online":{"date-parts":[[2023,3,7]]},"published-print":{"date-parts":[[2023,5,24]]}},"alternative-id":["10.1108\/EL-10-2022-0241"],"URL":"https:\/\/doi.org\/10.1108\/el-10-2022-0241","relation":{},"ISSN":["0264-0473","0264-0473"],"issn-type":[{"type":"print","value":"0264-0473"},{"type":"electronic","value":"0264-0473"}],"subject":[],"published":{"date-parts":[[2023,3,7]]}}}