[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-598343-105":59,"doc-detail-598343-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","dynamic-evolution-analysis-of-social-network-in-cmooc-based-on-rsiena-mode","Dynamic Evolution Analysis of Social Network in cMOOC based on RSiena Mode","","This study examines how social networks evolve dynamically within China’s first connectivist cMOOC, “Internet plus Education: Dialogue between Theory and Practice.” Using stochastic actor-oriented models and dynamic social network analysis based on RSiena, it analyzes how individual attributes and network structural attributes jointly shape evolution over multiple course offerings. Results show that learners with similar sex, social identity, and behavioral tendency interact more easily, course identity produces heterogeneous replying patterns toward facilitators, and reciprocity and transitivity significantly drive network change.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/dynamic-evolution-analysis-of-social-network-in-cmooc-based-on-rsiena-mode/598343/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/dynamic-evolution-analysis-of-social-network-in-cmooc-based-on-rsiena-mode/598343.png","ImageObject",300,407,{"name":92,"@type":93},"Mafia Boss","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-05","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What research question does the study address about cMOOC social networks?","Question",{"text":112,"@type":113},"It investigates the dynamic evolution principles of social networks in a connectivist cMOOC, focusing on how individual attributes and network structural attributes influence network change.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which modeling approach is used to analyze social network evolution?",{"text":117,"@type":113},"The study uses stochastic actor-oriented models implemented through RSiena-based dynamic social network analysis.",{"name":119,"@type":110,"acceptedAnswer":120},"What key factors are found to affect social network evolution in the cMOOC?",{"text":121,"@type":113},"Learners with the same sex, social identity, and behavioral tendency interact more easily; course identity shows heterogeneous responding where learners are more likely to reply to facilitators; reciprocity and transitivity have significant effects.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},598343,1792191625,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":56,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},962090760730,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","Volume 48 (4) Special Issue 2022  \nDynamic Evolution Analysis of Social Network in cMOOC based on RSiena Mode  \nAnalyze dynamique de l'évolution du réseau social dans le cMOOC basé sur le mode RSiena  \nYaqian Xu, Beijing Normal University, China Junlei Du, Beijing Normal University, China  \nAbstract  \nThe network is a key concept which has been highly valued in connectivism. Research about the static characteristics of social networks in connectivist learning has been carried out in recent years, however, little knowledge exists regarding the principles of network evolution from a dynamic perspective. This article chose the first connectivist massive open and online course (cMOOC) in China,“Internet plus Education: Dialogue between Theory and Practice” as the research object, using the dynamic analysis method of social networks which is based on stochastic actor-oriented models, to reveal the influence of the individual attributes and network structural attributes on the dynamic evolution of social networks in a cMOOC. We found that: 1) the learners with the same sex, the same social identity, and the same type of behaviour tendency found it much easier to interact with each other; 2) there is a heterogeneous phenomenon with course identity, meaning that compared to communicating with other learners, learners are more inclined to reply toa facilitator; and 3) the reciprocity and transitivity have significant effects on social network evolution. This study is valuable for understanding the network evolution and has implications for the improvement ofcMOOC design, in turn improving the online learning experience for cMOOC learners.  \nKeywords: cMOOC; Social network ; SIENA; Evolution ; Interaction ; Connectivism  \nRésumé  \nLe réseau est un concept essentiel qui a été fortement valorisé dans le connectivisme. Quelques recherches ont été menées ces dernières années sur les caractéristiques statiques des réseaux sociaux dans l'apprentissage connectiviste. Cependant, il existe peu de connaissances sur les principes  \nCJLT/RCAT Vol. 48 (4)  \nd'évolution des réseaux d'un point de vue dynamique. Cet article a choisi le premier cours connectiviste de formation en ligne ouverte à tous (cMOOC) en Chine, \"Internet plus Éducation :  \nDialogue entre la théorie et la pratique\" comme objet de recherche, en utilisant la méthode d'analyse dynamique des réseaux sociaux qui est basée sur des modèles stochastiques orientés vers les acteurs, pour révéler l'influence des attributs individuels et celles des attributs structurels du réseau sur l'évolution dynamique des réseaux sociaux dans un cMOOC. Nous avons constaté que : (1) les apprenants ayant le même sexe, la même identité sociale et le même type de tendance comportementale trouvent qu'il est beaucoup plus facile d'interagir les uns avec les autres ; (2) ilexiste un phénomène hétérogène avec l'identité du cours, ce qui signifie que par rapport à la communication avec d'autres apprenants, les apprenants sont plus susceptibles de répondre à un facilitateur ; (3) la réciprocité et la transitivité ont des effets significatifs sur l'évolution des réseaux  \nsociaux. Cette étude est utile pour comprendre l'évolution du réseau et a des implications pour l'amélioration de la conception du cMOOC, améliorant à son tour l'expérience d'apprentissage en ligne pour les apprenants du cMOOC.  \nMots clés : cMOOC ; réseau social ; Siena ; évolution ; interaction ; connectivisme  \nIntroduction  \nConnectivist learning reveals a new idea to solve complex problems and create knowledge by continuously connecting high-quality nodes, especially adapting to the new characteristics of the networked knowledge in the era of \"Internet +\" (Downes, 2012). When the needs and problems are constantly changing, and the knowledge becomes dynamic, uncertain, and unpredictable, it’s more important to build good networks that can adapt to change than to memorize and store knowledge (Downes, 2017) . The cMOOC is a typical practice of co","cbCaipTtrxirp04d","https://ap.wps.com/l/cbCaipTtrxirp04d","pdf",143796,"English","# Introduction\n## Literature Review","[{\"question\":\"What research question does the study address about cMOOC social networks?\",\"answer\":\"It investigates the dynamic evolution principles of social networks in a connectivist cMOOC, focusing on how individual attributes and network structural attributes influence network change.\"},{\"question\":\"Which modeling approach is used to analyze social network evolution?\",\"answer\":\"The study uses stochastic actor-oriented models implemented through RSiena-based dynamic social network analysis.\"},{\"question\":\"What key factors are found to affect social network evolution in the cMOOC?\",\"answer\":\"Learners with the same sex, social identity, and behavioral tendency interact more easily; course identity shows heterogeneous responding where learners are more likely to reply to facilitators; reciprocity and transitivity have significant effects.\"}]","Dynamic Evolution Analysis of Social Network in cMOOC based on RSiena Mode | PDF",1792086753,48]