Amith, Muhammad “Tuan,” et al. “NET-EXPO: A Gephi Plugin towards Social Network Analysis of Network Exposure for Unipartite AND Bipartite Graphs.” Communications in Computer and Information Science, 2019, pp. 3–12., doi:10.1007/978-3-030-23525-3_1. 

NET-EXPO: A Gephi Plugin Towards Social Network Analysis of Network Exposure for Unipartite and Bipartite Graphs

 •Aims to measure to what degree someone is exposed to their network members with certain, attitudes, attributes, or behaviors


University of California, Berkeley

 •The researchers created two search networks from pro-vaccine and anti-vaccine keywords to resemble goal-oriented browsing (based on keyword search).

 •In contrast to the goal oriented browsing networks, they constructed two seed networks (resembling direct navigation)  based on conspiracy and anti-vaccine expert seed videos.

 •Video contents and network structures were analyzed using the network exposure model.


Methods


Network Exposure Model

Goal-oriented browsing on YouTube reduced the likelihood of encountering anti-vaccine videos. Conversely, direct navigation that started from an anti-vaccine video led to more encounters with similar content. In the two seed networks created to resemble direct navigation, pro-vaccine videos, anti-vaccine videos, and videos containing non-vaccine-related health misinformation were all more likely to lead to further anti-vaccine videos. Furthermore, although YouTube has increased the search rankings of pro-vaccine videos to combat misinformation, when viewers are directed to anti-vaccine videos on YouTube from external sites, the algorithm is still likely to recommend additional anti-vaccine content.

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