node and of a network. Moreover, we give a classi cation of the centrality measures based on a topology of network flows …We deliver a short overview of di erent centrality measures and influence concepts in social networks, and present the … centrality: the ones based on degree, closeness, betweenness, and the eigenvector-related measures. We consider centrality of a …

This article considers the effects of uncertainty, structure, trust and resistance to change on the success or failure … of management accounting innovations diffusion. The diffusion process is examined through a social network of nodes and … facilitate or impede the diffusion process. Trust is operationalized through strong ties and structure is modeled with the …

question of interest. Agents repeatedly communicate with their neighbors in the social network, can exert some effort to … manipulate the trust of others, and update their opinions taking weighted averages of neighbors' opinions. The incentives to … manipulate are given by the agents' preferences. We show that manipulation can modify the trust structure and lead to a connected …

spatial level. The application of the traditional approach of identifying centres is compared with an 'objective' centrality …

experimentally whether peer performances and peer contextual effects influence individual performances. Two types of network are …. Individual performances increase with peer performances in the recursive network. In the simultaneous network, endogenous peer …

We provide the first theoretical analysis of altruism in networks. Agents are embedded in a fixed, weighted network and … interdependence. First, we show that there is a unique profile of incomes after transfers, for any network and any utility functions …