{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T12:53:14Z","timestamp":1784292794889,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T00:00:00Z","timestamp":1740960000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,3,3]]},"DOI":"10.1145\/3706468.3706497","type":"proceedings-article","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:04:11Z","timestamp":1740146651000},"page":"216-226","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["The Company You Keep: Refining Neural Epistemic Network Analysis"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9856-109X","authenticated-orcid":false,"given":"Zheng","family":"Fang","sequence":"first","affiliation":[{"name":"Monash University, Clayton, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9578-819X","authenticated-orcid":false,"given":"Weiqing","family":"Wang","sequence":"additional","affiliation":[{"name":"Monash University, Clayton, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8236-3133","authenticated-orcid":false,"given":"Guanliang","family":"Chen","sequence":"additional","affiliation":[{"name":"Monash University, Clayton, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7414-5507","authenticated-orcid":false,"given":"Zachari","family":"Swiecki","sequence":"additional","affiliation":[{"name":"Monash University, Clayton, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,3,3]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"Tasweer Ahmad Lianwen Jin Xin Zhang Songxuan Lai Guozhi Tang and Luojun Lin. 2021. Graph convolutional neural network for human action recognition: A comprehensive survey. IEEE Transactions on Artificial Intelligence 2 2 (2021) 128\u2013145.","DOI":"10.1109\/TAI.2021.3076974"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Jessica Andrews-Todd and Carol\u00a0M Forsyth. 2020. Exploring social and cognitive dimensions of collaborative problem solving in an open online simulation-based task. Computers in human behavior 104 (2020) 105759.","DOI":"10.1016\/j.chb.2018.10.025"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67788-6_7"},{"key":"e_1_3_3_2_5_2","unstructured":"Pierre Dillenbourg. 1999. What do you mean by collaborative learning? Collaborative-learning: Cognitive and Computational Approaches. (1999) 1\u201319."},{"key":"e_1_3_3_2_6_2","unstructured":"Cynthia D\u2019Angelo Golnaz Arastoopour Naomi Chesler and David\u00a0Williamson Shaffer. 2011. Collaborating in a virtual engineering internship. (2011)."},{"key":"e_1_3_3_2_7_2","unstructured":"Blinded for review. [n. d.]."},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"crossref","unstructured":"Dragan Ga\u0161evi\u0107 Sre\u0107ko Joksimovi\u0107 Brendan\u00a0R Eagan and David\u00a0Williamson Shaffer. 2019. SENS: Network analytics to combine social and cognitive perspectives of collaborative learning. Computers in Human Behavior 92 (2019) 562\u2013577.","DOI":"10.1016\/j.chb.2018.07.003"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Arthur\u00a0C Graesser Samuel Greiff Matthias Stadler and Keith\u00a0T Shubeck. 2020. Collaboration in the 21st century: The theory assessment and teaching of collaborative problem solving. 106134\u00a0pages.","DOI":"10.1016\/j.chb.2019.09.010"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Caroline Haythornthwaite. 1996. Social network analysis: An approach and technique for the study of information exchange. Library & information science research 18 4 (1996) 323\u2013342.","DOI":"10.1016\/S0740-8188(96)90003-1"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"crossref","unstructured":"Joan\u00a0H Johnston Stephen\u00a0M Fiore Carol Paris and CAP Smith. 2013. Application of cognitive load theory to develop a measure of team cognitive efficiency. Military Psychology 25 3 (2013) 252\u2013265.","DOI":"10.1037\/h0094967"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"crossref","unstructured":"Dmitry Kobak and George\u00a0C Linderman. 2021. Initialization is critical for preserving global data structure in both t-SNE and UMAP. Nature biotechnology 39 2 (2021) 156\u2013157.","DOI":"10.1038\/s41587-020-00809-z"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Roberto Martinez-Maldonado Dragan Ga\u0161evi\u0107 Vanessa Echeverria Gloria Fernandez\u00a0Nieto Zachari Swiecki and Simon Buckingham\u00a0Shum. 2021. What do you mean by collaboration analytics? A conceptual model. Journal of Learning Analytics (2021).","DOI":"10.18608\/jla.2021.7227"},{"key":"e_1_3_3_2_14_2","unstructured":"Leland McInnes John Healy and James Melville. 2018. Umap: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1802.03426 (2018)."},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao and Chengqi Zhang. 2018. Adversarially regularized graph autoencoder for graph embedding. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1802.04407 (2018).","DOI":"10.24963\/ijcai.2018\/362"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"crossref","unstructured":"Muhammad\u00a0Asif Qureshi Asadullah Khaskheli Jawaid\u00a0Ahmed Qureshi Syed\u00a0Ali Raza and Sara\u00a0Qamar Yousufi. 2023. Factors affecting students\u2019 learning performance through collaborative learning and engagement. Interactive Learning Environments 31 4 (2023) 2371\u20132391.","DOI":"10.1080\/10494820.2021.1884886"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Florian Schwade. 2021. Social Collaboration Analytics Framework: A framework for providing business intelligence on collaboration in the digital workplace. Decision Support Systems 148 (2021) 113587.","DOI":"10.1016\/j.dss.2021.113587"},{"key":"e_1_3_3_2_18_2","unstructured":"D Shaffer and A Ruis. 2017. Epistemic network analysis: A worked example of theory-based learning analytics. Handbook of learning analytics (2017)."},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.4324\/9781315617572-50"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"crossref","unstructured":"David\u00a0Williamson Shaffer Wesley Collier and Andrew\u00a0R Ruis. 2016. A tutorial on epistemic network analysis: Analyzing the structure of connections in cognitive social and interaction data. Journal of Learning Analytics 3 3 (2016) 9\u201345.","DOI":"10.18608\/jla.2016.33.3"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"crossref","unstructured":"David\u00a0Williamson Shaffer David Hatfield Gina\u00a0Navoa Svarovsky Padraig Nash Aran Nulty Elizabeth Bagley Ken Frank Andr\u00e9\u00a0A Rupp and Robert Mislevy. 2009. Epistemic network analysis: A prototype for 21st-century assessment of learning. International Journal of Learning and Media 1 2 (2009) 33\u201353.","DOI":"10.1162\/ijlm.2009.0013"},{"key":"e_1_3_3_2_22_2","volume-title":"Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning-CSCL 2022, pp. 83-90","author":"Swiecki Zachari","year":"2022","unstructured":"Zachari Swiecki, Cody Marquart, and Brendan Eagan. 2022. Simulating Collaborative Discourse Data. In Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning-CSCL 2022, pp. 83-90. International Society of the Learning Sciences."},{"key":"e_1_3_3_2_23_2","first-page":"148","volume-title":"Proceedings of the 7th annual GIFT users symposium","author":"Swiecki Zachari","year":"2019","unstructured":"Zachari Swiecki, AR Ruis, and David\u00a0Williamson Shaffer. 2019. Modeling and visualizing team performance using epistemic net-work analysis. In Proceedings of the 7th annual GIFT users symposium. 148\u2013156."},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Zachari Swiecki Andrew\u00a0R Ruis Cayley Farrell and David\u00a0Williamson Shaffer. 2020. Assessing individual contributions to collaborative problem solving: a network analysis approach. Computers in Human Behavior 104 (2020) 105876.","DOI":"10.1016\/j.chb.2019.01.009"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3375462.3375505"},{"key":"e_1_3_3_2_26_2","unstructured":"Petar Veli\u010dkovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1710.10903 (2017)."},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"crossref","unstructured":"Xiao-Meng Zhang Li Liang Lin Liu and Ming-Jing Tang. 2021. Graph neural networks and their current applications in bioinformatics. Frontiers in genetics 12 (2021) 690049.","DOI":"10.3389\/fgene.2021.690049"},{"key":"e_1_3_3_2_28_2","unstructured":"Xin Zheng Yixin Liu Shirui Pan Miao Zhang Di Jin and Philip\u00a0S Yu. 2022. Graph neural networks for graphs with heterophily: A survey. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2202.07082 (2022)."}],"event":{"name":"LAK '25: The 15th International Learning Analytics and Knowledge Conference","location":"Dublin Ireland","acronym":"LAK 2025"},"container-title":["Proceedings of the 15th International Learning Analytics and Knowledge Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706468.3706497","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706468.3706497","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:56:50Z","timestamp":1750298210000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706468.3706497"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,3]]},"references-count":27,"alternative-id":["10.1145\/3706468.3706497","10.1145\/3706468"],"URL":"https:\/\/doi.org\/10.1145\/3706468.3706497","relation":{},"subject":[],"published":{"date-parts":[[2025,3,3]]},"assertion":[{"value":"2025-03-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}