Bootstrap percolation is a simple but nontrivial model. It has applications in many areas of science and has been explored on random networks for several decades. In single-layer (simplex) networks, it has been recently observed that bootstrap percolation, which is defined as an incremental process, can be seen as the opposite of pruning percolation, where nodes are removed according to a conne...

Recently, the emergent dynamics in multiplex networks, composed of layers of multiple networks, has been discussed extensively in network sciences. However, little is still known about whether and how the evolution of strategy for selecting a layer to participate in can contribute to the emergence of cooperative behaviors in multiplex networks of social interactions. To investigate these issues...

Social networks exhibit scaling laws for several structural characteristics, such as degree distribution, scaling of the attachment kernel and clustering coefficients as a function of node degree. A detailed understanding if and how these scaling laws are inter-related is missing so far, let alone whether they can be understood through a common, dynamical principle. We propose a simple model fo...

User influence determines how the information is transmitted. Most of the current methods need to consider the complete network and, if it changes, the calculations have to be repeated from the scratch. This work proposes the use of a consensus algorithm to calculate the influence of the participants in a social event through their interactions in Twitter. Retweets, mentions and replies and con...

This study investigates the performance of an analytical approximation for the throughput-delay characteristic of a multihop ad-hoc network employing conflictfree time division multiplex (TDM) scheduling with halfduplex transceivers. The approximation models traffic at each link as an independent M/D/1 queue and its performance is measured by comparing to simulation results for various topologi...

Many data situations require the consideration of network effects among cross-sectional units observation. In this paper, we present a generalized panel model which accounts for two features: (i) three types on right-hand side model, namely through weighted dependent variable, exogenous variables, as well error components, and (ii) higher-order due to ex-ante unknown network-decay functions or ...

Modeling relations between individuals is a classical question in social sciences and clustering individuals according to the observed patterns of interactions allows to uncover a latent structure in the data. Stochastic block model (SBM) is a popular approach for grouping the individuals with respect to their social comportment. When several relationships of various types can occur jointly bet...