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Activity Number: 516 - Social Statistics Section P.M. Roundtable Discussion
Type: Roundtables
Date/Time: Thursday, August 6, 2020 : 12:00 PM to 1:00 PM
Sponsor: Social Statistics Section
Abstract #309683
Title: Measuring Social Influence: Quantifying and Collecting Network Data
Author(s): Tyler McCormick*
Companies: University of Washington
Keywords: data collection; social networks
Abstract:

Connections between individuals are vital for a range of social, health, and economic outcomes. A referral from a friend might be the key to finding a new job. A loved one provides comfort after a medical procedure. Comparing your activity tracker data with others' provides extra motivation to exercise before work. Collecting data on these connections, however, is typically expensive or, in many cases impractical or unethical. In this roundtable we'll discuss strategies for collecting social network data. Our discussion will cover the challenges associated with collecting complete graph data as well as strategies that rely on partial graphs, indirect network measures, or administrative/social media data.


Authors who are presenting talks have a * after their name.

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