Trust Networks: Topology, Dynamics, and Measurements

Iterations as the result of social and technical factors: empirical evidence from a large-scale design project

“…To understand the influence of the units in the network, we can make a parallel between our document editing network and the structure of trust networks [4] where trust is implicit and represents the fact that each functional unit has to rely on the information produced or processed by other units. With such a network, we could investigate the influence that each functional unit has in this network, in terms of amount of information produced (documents in output) and in terms of amount of information received (documents in input).…”

“…Such a method, however, would not take into consideration the possible flows that information can follow in the network, giving only a rough estimate of influence from and to direct neighbours and underestimating the possibility that a more peripheral unit could also affect a significant portion of the network. Previous research on trust networks showed that eigenvector-based centrality metrics positively correlate with nodes' degree of trust [4,20] and appeared better to describe the position of the nodes than other measures.…”

Stroking the Net Whale: a Constructivist Grounded Theory of Self-Regulated Learning in Virtual Social Spaces

“…Mutual trust is the main building block for virtual communities and crowdsourcing platforms (Agreste, De Meo, Ferrara, Piccolo, & Provetti, 2015). Research participants (teachers and students) did not express concern for the well-being, learning process and outcomes of their fellows, but concentrated on personal capability growth.…”

A General Centrality Framework-Based on Node Navigability

“…Centrality metrics [1] provide a ubiquitous Network Science tool for the identification of the "important" nodes in a graph. They have been widely applied in a range of domains such as early detection of epidemic outbreaks [2], viral marketing [3], trust assessment in virtual communities [4], preventing catastrophic outage in power grids [5] and analysing heterogeneous networks [6].…”