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UID:pretalx-2026-7LJSWX@conferences.acspri.org.au
DTSTART;TZID=AEST:20261125T133000
DTEND;TZID=AEST:20261125T150000
DESCRIPTION:In this hands-on workshop\, participants will learn the fundame
 ntals of estimating Exponential Random Graph Models (ERGMs) and Auto-Logis
 tic Actor Attribute Models (ALAAM) with MPNet – a software developed to 
 investigate the structural features of networks and how such structure may
  affect individual outcomes. ERGM for multilevel networks enable researche
 rs to investigate the influence of structure at one level of analysis on s
 tructure at a different level\, while taking into account the complex inte
 rdependencies that exist within and between levels. For instance\, interpe
 rsonal networks between managers at the micro-level might interact with al
 liance networks of the organizations they are nested in. Throughout the wo
 rkshop\, participants will work through short exercises to get familiar wi
 th the graphical user interface and output of the MPNet software. We will 
 discuss various case-study examples that will provide the participants wit
 h a good understanding of the possibilities that multilevel ERGMs offer fo
 r social scientists.
DTSTAMP:20261013T070024Z
LOCATION:MacCallum Room
SUMMARY:Multilevel Network Analysis using ERGM and MPNet - Peng Wang
URL:https://conferences.acspri.org.au/2026/talk/7LJSWX/
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UID:pretalx-2026-GRF3HB@conferences.acspri.org.au
DTSTART;TZID=AEST:20261125T164500
DTEND;TZID=AEST:20261125T170000
DESCRIPTION:How do organizational members come to recognize someone outside
  their own area of expertise as a leader? Leadership identity research con
 ceptualizes leadership as socially constructed through processes of claimi
 ng and granting\, yet granting has largely been understood as arising thro
 ugh direct interaction between potential leaders and followers. We argue t
 hat this dyadic view becomes incomplete when leadership crosses expertise 
 boundaries\, where actors may lack the shared knowledge and evaluative cri
 teria needed to assess one another directly. In such settings\, advice net
 works may provide relational cues through which expertise becomes visible 
 and leadership can be granted.\nWe examine this argument using whole-netwo
 rk data from 228 healthcare professionals involved in a multidisciplinary 
 breast-cancer clinical pathway. We model leadership recognition as a direc
 ted network and examine its association with formal managerial role and di
 rect and indirect advice relations using exponential random graph models. 
 Our primary analysis focuses on leadership recognition across professional
  boundaries\, with within-profession leadership providing a theoretically 
 meaningful reference case.\nFormal managers are more likely to be recogniz
 ed as leaders across professional boundaries\, but formal position does no
 t account for the broader relational pattern of leadership recognition. Cr
 oss-professional leadership is strongly aligned with direct advice relatio
 ns and\, importantly\, is associated with indirect advice pathways connect
 ing actors through third parties. These pathway effects are substantially 
 more evident across than within professional boundaries.\nWe contribute to
  leadership identity and organization theory by extending the granting of 
 leadership from a predominantly dyadic process to a network-embedded one. 
 Our findings suggest that\, across expertise boundaries\, leadership recog
 nition is supported by advice structures through which otherwise difficult
 -to-evaluate expertise becomes visible.
DTSTAMP:20261013T070024Z
LOCATION:MacCallum Room
SUMMARY:Granting Leadership Across Expertise Boundaries: How Advice Network
 s Shape Cross-Professional Recognition - Peng Wang
URL:https://conferences.acspri.org.au/2026/talk/GRF3HB/
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