Diffusion Paths for Micro Cogeneration Using Hydrogen in the Netherlands

We estimate the diffusion of micro cogeneration systems (MiCoGen) using hydrogen produced from natural gas in the Netherlands for the 2000-2050 period on the basis of economical factors. The diffusion is important for the transition to a hydrogen economy based on renewables, with natural gas paving the way for hydrogen from renewables which. For three scenarios full diffusion takes place in the period 2020-2050. The most important factors behind the diffusion are: growing energy demand, resulting in lower hydrogen costs and higher energy costs in the reference case and lower costs of MiCoGen stemming from learning economies. The model is very ad-vanced by considering all costs components for heterogeneous users which have been calculated for the entire diffusion period. It is the first threshold diffusion model that is being applied to the diffusion of technological clusters involving new or adapted infrastructures.diffusion model, hydrogen, hydrogen economy, micro cogeneration

Bridging the Innovation Divide: An Agenda for Disseminating Technology Innovations within the Nonprofit Sector

Examines technology practices -- such as neighborhood information systems, electronic advocacy, Internet-based micro enterprise support, and digital inclusion initiatives -- that strengthen the capacity of nonprofits and community organizations

Studying Diffusion of Viral Content at Dyadic Level

Diffusion of information and viral content, social contagion and influence are still topics of broad evaluation. As theory explaining the role of influentials moves slightly to reduce their importance in the propagation of viral content, authors of the following paper have studied the information epidemic in a social networking platform in order to confirm recent theoretical findings in this area. While most of related experiments focus on the level of individuals, the elementary entities of the following analysis are dyads. The authors study behavioral motifs that are possible to observe at the dyadic level. The study shows significant differences between dyads that are more vs less engaged in the diffusion process. Dyads that fuel the diffusion proccess are characterized by stronger relationships (higher activity, more common friends), more active and networked receiving party (higher centrality measures), and higher authority centrality of person sending a viral message.Comment: ASONAM 2012, The 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. IEEE Computer Society, pp. 1291-129