The Statistical Analysis of Social Networks Across Multiple Teams, Groups and Organizations: Analyzing Multi-Group Networks and Dealing With Individual, Dyadic, and Network-Level Effects
Program Session: 232 | Submission: 18268 | Sponsor(s): (OB, RM)
Scheduled: Saturday, Aug 11 2018 8:00AM - 12:00PM at Sheraton Grand Chicago in Columbus A,B
Much of social network research focuses on understanding how individual actors (e.g., people or organizations) within a single network either arrived at a particular position in the network, or the consequences of occupying that network position for the actors' outcomes. However, there has been significantly less research with regard to actors being embedded in small teams or groups and having network processes and outcomes examined across those clusters. For example, we might be interested in exploring interaction networks in organizations with natural small- group clusters (e.g., large banks with many small branches, large restaurant chains) or in exploring organizations embedded within natural small-group clusters (e.g., universities within different sports conferences). We might also wonder how a highly-centralized team handles socializing new members as compared to a decentralized team. To make generalizable statements about the origins and consequences of networks and to understand under which conditions specific processes take place, a large set of groups (i.e, multiple teams or multiple organizations) need to be studied simultaneously. Emerging analytical tools allow us to study individuals and dyads embedded within networks and compare across those networks. This PDW introduces participants to the three levels of analyses (individual, dyadic, and network), illustrates how to answer questions both within those levels as well as cross-level interactions, and provides participants with an introductory guide on how to conduct those analyses. No programming experience is necessary, but a knowledge of social network concepts is helpful.
Approximate Schedule:
8-8:30am: Introduction to relevance of social network analysis for organizational behavioral and organization theory research: Overview of concepts, levels and types of analysis
8:30-9:30am: Group/network level analyses:
Examples and overview of analyses focusing on antecedents and consequences of network structure
Walkthrough of analyses of group-level network structural properties
9:30-10:30am: Individual level analyses:
Examples and overview of analyses focusing on antecedents and consequences of network position
Walkthrough of analyses of individual-level network structural properties
10:30-11:30am: Dyadic- and cross-level analyses
Examples/overview focusing on antecedents of networks
Walkthrough of analyses of dyadic and cross-level network structural emergence
11:30-noon: PDW Round-Up
Optional pre-registration:
Participants can register informally by e-mailing contact information and a description of their research interests specific to network analysis to teamnetworksPDW@gmail.com. This optional registration allows us to understand which types of research questions should be emphasized during the workshop. Walk-ins are accepted and encouraged.
Organizers:
Filip Agneessens, U. of Surrey
Giuseppe Labianca, U. of Kentucky
Travis Grosser, U. of Connecticut
Julija Mell, ESSEC Business School
We look forward to seeing you at the PDW!
------------------------------
Giuseppe Labianca
Gatton Chaired Professor of Management
University of Kentucky
Lexington KY
joelabianca@gmail.com------------------------------