David Schoch

TL;DR: Critically examine several issues with the use of the most popular centrality indices in psychological networks: degree, betweenness, and closeness centrality, and conclude that betweenness and closness centrality seem especially unsuitable as measures of node importance.

TL;DR: Political astroturfing, a centrally coordinated disinformation campaign in which participants pretend to be ordinary citizens acting independently, has the potential to influence electoral outcomes as mentioned in this paper, and has been shown to have significant influence on electoral outcomes.

TL;DR: Analysis of Twitter accounts used by the South Korean secret service to influence the 2012 presidential elections in favor of the eventual winner, Park Geun-hye, reveals three groups of NIS accounts, including one group that engages mostly in retweeting, and another group focused on posting news articles with a link.

TL;DR: It is argued that correlation between centralities is confounded by network structure in a systematic way, so that competing explanations embodied in different indices cannot be separated from each other if the network structure is close to a certain generalization of star graphs.

TL;DR: It is shown that standard centrality indices, although seemingly distinct, can in fact be expressed in a common framework based on path algebras and preserve the neighbourhood-inclusion pre-order.