The fundamental idea of embedding a network in metric space is rooted the principle proximity preservation. Nodes are mapped into points with pairwise distance that reflects their network. Popular methods employed either rely on implicit approximations preservation or implement it by enforcing geometry space, thus hindering geometric properties networks may spontaneously exhibit. Here, we take ...

The response of degree-correlated scale-free attractor networks to stimuli is studied. We show that degree-correlated scale-free networks are robust to random stimuli as well as the uncorrelated scale-free networks, while assortative (disassortative) scale-free networks are more (less) sensitive to directed stimuli than uncorrelated networks. We find that the degree correlation of scale-free ne...

The Internet of Things (IoT) has the potential to be applied social networks due innovative characteristics and sophisticated solutions that challenge traditional uses. Social network analysis (SNA) is a good example recently gained lot scientific attention. It its roots in economic research, as well evaluation science, such graph theory. Scientists this area have subverted predefined theories,...