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Browsing behavior exposes identities on the Web
We demonstrate that we can re-identify 90% of the individuals in separate time slices of data.
Minorities in networks and algorithms
In this chapter, we provide an overview of recent advances in data-driven and theory-informed complex models of social networks and their potential in understanding societal inequalities and marginalization.
Characterizing the Social Interactions in the Artificial Bee Colony Algorithm
Recent advances in the literature, however, have proposed to study these systems via the network that emerges from the social interactions within the swarm (i. e., the interaction network).
Uncovering the Social Interaction in Swarm Intelligence with Network Science
Here, we address this gap by introducing a network-based framework---the interaction network---to examine computational swarm-based systems via the optics of the social dynamics of such interaction network; a clear example of network science being applied to bring further clarity to a complicated field within artificial intelligence.
