Media: Vice’s Motherboard

Sandra Gonzalez-Bailonblog

ViceMotherboard
Vice’s Motherboard interviewed DiMeNet member Tim Libert last week about his research on third-party tracking. Libert found that 91 percent of health related web pages initiate HTTP requests to third-parties. “This isn’t just commercial sites who need to turn a profit, these are organizations you trust: the government, non-profits, universities,” said Libert.

Article: Recruitment in Communication

Sandra Gonzalez-Bailonblog



Abstract: We analyze hiring and placement dynamics across communication Ph.D. programs using data collected in 2014. We assess changes compared to data collected in 2007 (as reported in Barnett, Danowski, Feeley, & Stalker, 2010), and we identify the factors that underlie the formation of recruitment ties. Our findings challenge prior conclusions that faculty-hiring patterns offer a good proxy to the quality of doctoral education. Instead, we find evidence that the recruitment network results from inter-organizational dynamics that are likely to emerge from faculty mobility; these dynamics are manifested in the form of reciprocity, transitivity, and cumulative advantage. Once we control for these network characteristics, institutional prestige, faculty seniority, and reputational rankings modestly drive the formation of recruitment ties.

Talk: Multilayer Networks

Sandra Gonzalez-Bailonblog

multilayer networks
Mason Porter will be visiting the DiMeNet group next week. He will give a talk on multilayer networks on Monday 15 Dec at 10:00am in room 224.

Article: Roles in Communication Networks

Sandra Gonzalez-Bailonblog

Abstract: Communication through social media mediates coordination and information diffusion across a range of social settings. However, online networks are large and complex, and their analysis requires new methods to summarize their structure and identify nodes holding relevant positions. We propose a method that generalizes the sociological theory of brokerage, originally devised on the basis of local transitivity and paths of length two, to make it applicable to larger, more complex structures. Our method makes use of the modular structure of networks to define brokerage at the local and global levels. We test the method with two different data sets. The findings show that our approach is better at capturing role differences than alternative approaches that only consider local or global network features.