Location

Hilton Waikoloa Village, Hawaii

Event Website

http://hicss.hawaii.edu/

Start Date

1-3-2018

End Date

1-6-2018

Description

We investigate homophily in the tie structure of the global Internet by estimating Exponential Random Graph models. Specifically, we analyze the extent to which different variables including Gross National Income, geographic proximity, political regime type, and press freedom rating account for the pattern of direct country-to-country Internet connections. Results show that for 2011-2014, but not before, press freedom homophily is significantly predictive of the presence (or absence) of country-to-country Internet connections even when controlling for geographic proximity, bandwidth, and whether or not a country is democratic. The findings provide insights into changes in press freedom around the world and the evolution of the global Internet structure.

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Jan 3rd, 12:00 AM Jan 6th, 12:00 AM

Press Freedom Homophily in the Tie Structure of the Global Internet

Hilton Waikoloa Village, Hawaii

We investigate homophily in the tie structure of the global Internet by estimating Exponential Random Graph models. Specifically, we analyze the extent to which different variables including Gross National Income, geographic proximity, political regime type, and press freedom rating account for the pattern of direct country-to-country Internet connections. Results show that for 2011-2014, but not before, press freedom homophily is significantly predictive of the presence (or absence) of country-to-country Internet connections even when controlling for geographic proximity, bandwidth, and whether or not a country is democratic. The findings provide insights into changes in press freedom around the world and the evolution of the global Internet structure.

http://aisel.aisnet.org/hicss-51/dsm/sna/2