{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:11:49Z","timestamp":1767651109063,"version":"build-2065373602"},"reference-count":38,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T00:00:00Z","timestamp":1653350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["19ZR1419400"],"award-info":[{"award-number":["19ZR1419400"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>The increasing number of people with anxiety disorders presents challenges when gathering health information. Users in anxiety disorder online communities (ADOCs) share and obtain a variety of health information, such as treatment experience, drug efficacy, and emotional support. This interaction alleviates the difficulties involved in obtaining health information. Users engage in community interaction via posts, comments, and replies, which promotes the development of an online community as well as the wellbeing of community users, and research concerning the formation mechanism of the user interaction network in ADOCs could be beneficial to users. Taking the Anxiety Disorder Post Bar as the research object, this study constructed an ADOC user interaction network based on users\u2019 posts, comments, and personal information data. With the help of exponential random graph models (ERGMs), we studied the effects of the network structure, user attributes, topics, and emotional intensity on user interaction networks. We found that there was significant reciprocity in the user interaction network in ADOCs. In terms of user attributes, gender homogeneity had no impact on the formation of the user interaction network. Experienced users in the community had obvious advantages, and experienced users could obtain replies more easily from other members. In terms of topics, pathology popularization showed obvious homogeneity, and symptoms of generalized anxiety disorder showed obvious heterogeneity. In terms of emotional intensity, users with polarized emotions were more likely to receive replies from users with positive emotions. The probability of interaction between two users with negative emotions was small, and users with opposite emotional polarity tended to interact, especially when the interaction was initiated by users with positive emotions.<\/jats:p>","DOI":"10.3390\/ijerph19116354","type":"journal-article","created":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T03:16:55Z","timestamp":1653362215000},"page":"6354","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Exploring the User Interaction Network in an Anxiety Disorder Online Community: An Exponential Random Graph Model with Topical and Emotional Effects"],"prefix":"10.3390","volume":"19","author":[{"given":"Jingfang","family":"Liu","sequence":"first","affiliation":[{"name":"School of Management, Shanghai University, 99 Shangda Road, Shanghai 201900, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0205-3275","authenticated-orcid":false,"given":"Yafei","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Management, Shanghai University, 99 Shangda Road, Shanghai 201900, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1089\/tmj.2019.0159","article-title":"Data Mining of the Reviews from Online Private Doctors","volume":"26","author":"Liu","year":"2020","journal-title":"Telemed. e-Health"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e17349","DOI":"10.2196\/17349","article-title":"Multidimensional Feature Classification of the Health Information Needs of Patients with Hypertension in an Online Health Community Through Analysis of 1000 Patient Question Records: Observational Study","volume":"22","author":"Luo","year":"2020","journal-title":"J. Med. Internet Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1111\/inm.12390","article-title":"Do biogenetic causal beliefs reduce mental illness stigma in people with mental illness and in mental health professionals? A systematic review","volume":"27","author":"Larkings","year":"2018","journal-title":"Int. J. Ment. Health Nurs."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.ijmedinf.2015.09.007","article-title":"SentiHealth-Cancer: A sentiment analysis tool to help detecting mood of patients in online social networks","volume":"85","author":"Rodrigues","year":"2016","journal-title":"Int. J. Med. Inform."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"101140","DOI":"10.1016\/j.lisr.2022.101140","article-title":"How online health discussions make people perceive benefits?","volume":"44","author":"Deng","year":"2022","journal-title":"Libr. Inf. Sci. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1080\/07421222.2017.1334480","article-title":"How Doctors Gain Social and Economic Returns in Online Health-Care Communities: A Professional Capital Perspective","volume":"34","author":"Guo","year":"2017","journal-title":"J. Manag. Inf. Syst."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Li, Z., and Xu, X. (2020). Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective. Int. J. Environ. Res. Public Health, 17.","DOI":"10.3390\/ijerph17041136"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.chb.2018.01.031","article-title":"The benefits and challenges of online professional-patient interaction: Comparing views between users and health professional moderators in an online health community","volume":"83","author":"Atanasova","year":"2018","journal-title":"Comput. Hum. Behav."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1016\/j.im.2016.02.001","article-title":"Knowledge sharing in online health communities: A social exchange theory perspective","volume":"53","author":"Yan","year":"2016","journal-title":"Inf. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1016\/j.chb.2017.06.028","article-title":"Knowledge sharing motivations in online health communities: A comparative study of health professionals and normal users","volume":"75","author":"Zhang","year":"2017","journal-title":"Comput. Hum. Behav."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"e107","DOI":"10.2196\/jmir.9014","article-title":"The Effectiveness of Health Care Information Technologies: Evaluation of Trust, Security Beliefs, and Privacy as Determinants of Health Care Outcomes","volume":"20","author":"Kisekka","year":"2018","journal-title":"J. Med. Internet Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.hlpt.2013.11.003","article-title":"Who can you trust? Credibility assessment in online health forums","volume":"3","author":"Lederman","year":"2014","journal-title":"Health Policy Technol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.ijinfomgt.2017.04.007","article-title":"Co-citation and cluster analyses of extant literature on social networks","volume":"37","author":"Shiau","year":"2017","journal-title":"Int. J. Inf. Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1463","DOI":"10.1080\/1369118X.2019.1581242","article-title":"How conversational ties are formed in an online community: A social network analysis of a tweet chat group","volume":"23","author":"Sun","year":"2020","journal-title":"Inf. Commun. Soc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/s11192-019-03112-0","article-title":"Mining network-level properties of Twitter altmetrics data","volume":"120","author":"Said","year":"2019","journal-title":"Scientometrics"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Saqr, M., Fors, U., and Tedre, M. (2018). How the study of online collaborative learning can guide teachers and predict students\u2019 performance in a medical course. BMC Med. Educ., 18.","DOI":"10.1186\/s12909-018-1126-1"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.chb.2019.08.006","article-title":"Hashtag homophily in twitter network: Examining a controversial cause-related marketing campaign","volume":"102","author":"Xu","year":"2020","journal-title":"Comput. Hum. Behav."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.geb.2005.03.001","article-title":"A theory of reciprocity","volume":"54","author":"Falk","year":"2006","journal-title":"Games Econ. Behav."},{"key":"ref_19","first-page":"874","article-title":"Social Exchange Theory: An Interdisciplinary Review","volume":"31","author":"Cropanzano","year":"2005","journal-title":"J. Manag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1108\/JKM-12-2020-0883","article-title":"Understanding relationship commitment and continuous knowledge sharing in online health communities: A social exchange perspective","volume":"26","author":"Zhang","year":"2021","journal-title":"J. Knowl. Manag."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1007\/s10551-015-2903-y","article-title":"Green Innovation and Performance: The View of Organizational Capability and Social Reciprocity","volume":"145","author":"Huang","year":"2017","journal-title":"J. Bus. Ethic"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1093\/jopart\/muw041","article-title":"Linking Network Structure to Collaborative Governance","volume":"27","author":"Ulibarri","year":"2017","journal-title":"J. Public Adm. Res. Theory"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1016\/j.indmarman.2019.02.019","article-title":"Food sharing, redistribution, and waste reduction via mobile applications: A social network analysis","volume":"88","author":"Harvey","year":"2020","journal-title":"Ind. Mark. Manag."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.socnet.2008.10.006","article-title":"Closure, connectivity and degree distributions: Exponential random graph (p*) models for directed social networks","volume":"31","author":"Robins","year":"2009","journal-title":"Soc. Netw."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"e18062","DOI":"10.2196\/18062","article-title":"Examining Patterns of Information Exchange and Social Support in a Web-Based Health Community: Exponential Random Graph Models","volume":"22","author":"Liu","year":"2020","journal-title":"J. Med. Internet Res."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1146\/annurev.soc.27.1.415","article-title":"Birds of a Feather: Homophily in Social Networks","volume":"27","author":"McPherson","year":"2001","journal-title":"Annu. Rev. Sociol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1007\/978-3-319-08416-9_8","article-title":"Collaborative friendship networks in online healthcare communities: An exponential random graph model analysis","volume":"Volume 8549","author":"Zheng","year":"2014","journal-title":"Smart Health"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1086\/653658","article-title":"Beyond and Below Racial Homophily: ERG Models of a Friendship Network Documented on Facebook","volume":"116","author":"Wimmer","year":"2010","journal-title":"Am. J. Sociol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1177\/0093650216641501","article-title":"The Role of Status Differentials and Homophily in the Formation of Social Support Networks of a Voluntary Organization","volume":"46","author":"Lee","year":"2019","journal-title":"Commun. Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"795","DOI":"10.25300\/MISQ\/2014\/38.3.08","article-title":"Emergence of Power Laws in Online Communities: The Role of Social Mechanisms and Preferential Attachment","volume":"38","author":"Johnson","year":"2014","journal-title":"MIS Q."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1357","DOI":"10.1007\/s10796-018-9839-6","article-title":"Assimilation of Big Data Innovation: Investigating the Roles of IT, Social Media, and Relational Capital","volume":"21","author":"Bharati","year":"2019","journal-title":"Inf. Syst. Front."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/S0191-3085(00)22009-1","article-title":"The network structure of social capital","volume":"Volume 22","author":"Staw","year":"2000","journal-title":"Research in Organizational Behavior: An Annual Series of Analytical Essays and Critical Review"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"102229","DOI":"10.1016\/j.ipm.2020.102229","article-title":"Understanding user-to-User interaction on government microblogs: An exponential random graph model with the homophily and emotional effect","volume":"57","author":"Xiong","year":"2020","journal-title":"Inf. Process. Manag."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1257\/mic.4.1.101","article-title":"The Impact of Social Ties on Group Interactions: Evidence from Minimal Groups and Randomly Assigned Real Groups","volume":"4","author":"Goette","year":"2012","journal-title":"Am. Econ. J. Microecon."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"7313","DOI":"10.1073\/pnas.1618923114","article-title":"Emotion shapes the diffusion of moralized content in social networks","volume":"114","author":"Brady","year":"2017","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.physa.2017.12.086","article-title":"An agent-based model for emotion contagion and competition in online social media","volume":"495","author":"Fan","year":"2018","journal-title":"Phys. A Stat. Mech. Appl."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.socnet.2006.08.002","article-title":"An introduction to exponential random graph (p*) models for social networks","volume":"29","author":"Robins","year":"2007","journal-title":"Soc. Netw."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Monge, P.R., and Contractor, N. (2003). Theories of Communication Networks, Oxford University Press.","DOI":"10.1093\/oso\/9780195160369.001.0001"}],"container-title":["International Journal of Environmental Research and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1660-4601\/19\/11\/6354\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:17:22Z","timestamp":1760138242000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1660-4601\/19\/11\/6354"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,24]]},"references-count":38,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2022,6]]}},"alternative-id":["ijerph19116354"],"URL":"https:\/\/doi.org\/10.3390\/ijerph19116354","relation":{},"ISSN":["1660-4601"],"issn-type":[{"type":"electronic","value":"1660-4601"}],"subject":[],"published":{"date-parts":[[2022,5,24]]}}}