<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rebecca Morton</style></author><author><style face="normal" font="default" size="100%">Eleonora Patacchini</style></author><author><style face="normal" font="default" size="100%">Paolo Pin</style></author><author><style face="normal" font="default" size="100%">Jonathan Rogers</style></author><author><style face="normal" font="default" size="100%">Tanya Rosenblat</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Experimental Methods for Measuring Social Networks without Censoring</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Experimental Political Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2023</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We elicit social networks among students in an Italian high school either by measuring the complete network in an incentive-compatible way or by using a truncated elicitation of at most five links. We find that truncation undercounts weak links by up to 90% but only moderately undercounts the time spent with strong friends. We use simulations to demonstrate that the measurement error induced by censoring might be particularly significant when studying phenomena such as social learning which are often thought to operate along weak ties. We then discuss how a modified network elicitation protocol might be able to reduce measurement error.</style></abstract></record></records></xml>