A betweenness centrality for stochastic networks is defined via an absorbing Markov chain on sequences of reported central nodes, with importance given by pre-absorption occupancy and estimated by Monte Carlo.
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A framework is introduced that links activist needs (minimal overhead, community building, safety, sustainability) to DSN affordances and is applied to compare Mastodon and Bluesky plus example communities.
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Betweenness Central Nodes Under Uncertainty: An Absorbing Markov Chain Approach
A betweenness centrality for stochastic networks is defined via an absorbing Markov chain on sequences of reported central nodes, with importance given by pre-absorption occupancy and estimated by Monte Carlo.
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The Activist's Guide to the Decentralized Social Universe: A Framework for Exploring How Decentralized Social Networks Can Support Collective Action
A framework is introduced that links activist needs (minimal overhead, community building, safety, sustainability) to DSN affordances and is applied to compare Mastodon and Bluesky plus example communities.