Line graphs for directed and undirected networks: An structural and analytical comparison

Collaborative Networks and Sustainability in Education 4.0: An Approach to Achieve Complex Thinking Competencies in Higher Education. In Working Conference on Virtual

Among the different areas of Deep Learning, the combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) is an important novelty for

complex networks, and through computational modeling), sociology (through the field of social network analysis), and computer science (through the fields of data mining and

This descriptive analysis of the presence of proximity cyber media in social networks has showed us that the use of social media (as in the case of somosmalasana.com and

To study the synergies established between conventional radio and social networks in mainstream radio, we examined the participation of Spanish listeners in

Our hypothesis is that in spite of the momentum of online strategies and the use of social networks as a tool of political communication after the triumph of

The reduction of the number of wavelengths decreases the size of commutation devices (port-count) and the number of wavelengths converters in the network nodes. In this

Table 1 shows one of these possible networks (in fact the one we have used to analyse teachers' conceptions) which gives quite an accurate global view of the situation and