{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/116046"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/116046","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Advances to network analysis theories and methods for the understanding of formal and emergent structures in interpersonal, corporate/organizational, and hazards response setting","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01","abstract_has_math":false,"creators":["Dinh, Ly"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Information Sciences","degree_department":null,"school":null,"contributors":["Diesner, Jana","Althaus, Scott","Darch, Peter","Palen, Leysia"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-08","date_published":"2022-08","updated_at":"2026-07-22T22:24:55Z","subjects":["Network analysis","Computational social science","Text analysis","Structural balance","Organizational communication","Crisis informatics"],"languages":["en","eng"],"rights":["Copyright 2022 Ly Dinh"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/116046","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Diesner, Jana","Althaus, Scott","Darch, Peter","Palen, Leysia"]},{"key":"dc:creator","label":"Author","values":["Dinh, Ly"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-08","2022-07-07"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Information Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Network analysis","Computational social science","Text analysis","Structural balance","Organizational communication","Crisis informatics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Ly Dinh"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/116046"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01","The student, Ly Dinh, accepted the attached license on 2022-06-30 at 16:30.","The student, Ly Dinh, submitted this Dissertation for approval on 2022-06-30 at 16:41.","This Dissertation was approved for publication on 2022-07-07 at 11:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18127 on 2022-11-15 at 19:16:54","Network analysis provides valuable theoretical and methodological approaches to investigate complex systems of social-technical relations. Network analysis has been applied to many different social science research contexts to understand the mechanisms by which individuals and groups form, sustain, adapt, and dissolve relationships. Furthermore, extant literature finds that networks of social organizing often comprise of structures that are formally specified (i.e., formal) as well as created informally from unplanned interactions (i.e., emergent). This dissertation builds upon prior literature in network science theories and methods to examine formal and emergent structures of organizing in specific social contexts, i.e., (1) interpersonal, (2) corporate/organizational communication, and (3) hazards response settings. Within the context of interpersonal interactions, we examine the emergent structures of communication in twelve empirical networks based on the tenets of structural balance theory for signed and directed networks. We find evidence in support of structural balance as the overall balance is higher than imbalance, suggesting that individuals and groups prefer minimal tension in their interpersonal connections. Within the context of corporate/organizational communication, we show that emergent communication structures exist alongside formal structures as organizational members interact and maintain balance with others outside of their formally-assigned groups. Studying a scientific organization, which we model as a multilevel network, we find that both an individual’s formal role as well as their informal communication network influence the likelihood of them forming interdisciplinary ties with others. Within the context of hazards response, we empirically validate the formalized and informal networks of response collaborations during four major U.S.-based hurricanes. We find that a number of collaborative relationships take place between organization who are not officially assigned to work together. In the context of biological hazards, i.e., COVID, we examine the structural mechanisms for sharing and communicating information about a hazard on social media. We find differences in the expected diffusion structure based on classic epidemic model versus actual diffusion patterns observed in online social network. Overall, this dissertation contributes advances to theories, methods and applied analyses of real-world, socio-technical networks, with a focus on discovering emergent network patterns and how they relate to formal (or expected) structures. The research designs and findings documented in this dissertation can provide a framework for network-based studies that aim to examine the mechanisms involved in the formation, quality, and sustenance of ties in different contexts of social interactions."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Advances to network analysis theories and methods for the understanding of formal and emergent structures in interpersonal, corporate/organizational, and hazards response setting"]}]}],"canonical_facts":{"dc:contributor":["Diesner, Jana","Althaus, Scott","Darch, Peter","Palen, Leysia"],"dc:creator":["Dinh, Ly"],"dc:date":["2022-08","2022-07-07"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01","The student, Ly Dinh, accepted the attached license on 2022-06-30 at 16:30.","The student, Ly Dinh, submitted this Dissertation for approval on 2022-06-30 at 16:41.","This Dissertation was approved for publication on 2022-07-07 at 11:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18127 on 2022-11-15 at 19:16:54","Network analysis provides valuable theoretical and methodological approaches to investigate complex systems of social-technical relations. Network analysis has been applied to many different social science research contexts to understand the mechanisms by which individuals and groups form, sustain, adapt, and dissolve relationships. Furthermore, extant literature finds that networks of social organizing often comprise of structures that are formally specified (i.e., formal) as well as created informally from unplanned interactions (i.e., emergent). This dissertation builds upon prior literature in network science theories and methods to examine formal and emergent structures of organizing in specific social contexts, i.e., (1) interpersonal, (2) corporate/organizational communication, and (3) hazards response settings. Within the context of interpersonal interactions, we examine the emergent structures of communication in twelve empirical networks based on the tenets of structural balance theory for signed and directed networks. We find evidence in support of structural balance as the overall balance is higher than imbalance, suggesting that individuals and groups prefer minimal tension in their interpersonal connections. Within the context of corporate/organizational communication, we show that emergent communication structures exist alongside formal structures as organizational members interact and maintain balance with others outside of their formally-assigned groups. Studying a scientific organization, which we model as a multilevel network, we find that both an individual’s formal role as well as their informal communication network influence the likelihood of them forming interdisciplinary ties with others. Within the context of hazards response, we empirically validate the formalized and informal networks of response collaborations during four major U.S.-based hurricanes. We find that a number of collaborative relationships take place between organization who are not officially assigned to work together. In the context of biological hazards, i.e., COVID, we examine the structural mechanisms for sharing and communicating information about a hazard on social media. We find differences in the expected diffusion structure based on classic epidemic model versus actual diffusion patterns observed in online social network. Overall, this dissertation contributes advances to theories, methods and applied analyses of real-world, socio-technical networks, with a focus on discovering emergent network patterns and how they relate to formal (or expected) structures. The research designs and findings documented in this dissertation can provide a framework for network-based studies that aim to examine the mechanisms involved in the formation, quality, and sustenance of ties in different contexts of social interactions."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/116046"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Ly Dinh"],"dc:subject":["Network analysis","Computational social science","Text analysis","Structural balance","Organizational communication","Crisis informatics"],"dc:title":["Advances to network analysis theories and methods for the understanding of formal and emergent structures in interpersonal, corporate/organizational, and hazards response setting"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Information Sciences"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:55Z"}