Several centrality measures were introduced to identify essential components and compute components’ importance in networks. Majority of these centrality measures are dominated by components’ degree due to their nature of looking at networks’ topology. We propose a novel essential component identification model, bridging centrality, based on information flow and topological locality in scale-fr...

Neural machine translation systems encode a source sequence into a vector from which a target sequence is generated via a decoder. Different from the traditional statistical machine translation, source and target words are not directly mapped to each other in translation rules. They are at the two ends of a long information channel in the encoder-decoder neural network, separated by source and ...

Bridging and bonding are concepts that come from social capital discourse. In this paper, we describe a novel multi-agent model of social evolution, called Statistical Evolution of Social Groups (SESG). We use the model to simulate and monitor the generation and evolution of social communities that exhibit bridging, bonding, or a mix of both.

This paper is on modeling and measuring fiber-bridging constitutive law of Engineered Cementitious Composites (ECC), a high performance fiber-reinforced cementitious composite featuring high tensile ductility. Fiber-bridging constitutive law plays an important role in the multiple cracking behavior of ECC. Therefore, proper control of fiberbridging behavior through tailoring material microstruc...

For linearly elastic heterogeneous solids, averaging theorems are developed by Nemat-Nasser and Hori (S. Nemat-Nasser, M. Hori, Micromechanics: Overall Properties of Heterogeneous Solids, Elsevier, Amsterdam, 1993; and S. Nemat-Nasser, M. Hori, J. Eng. Mater. Technol. 117 (1995) 412), using a multi-inclusion model. This model is based on the observation that the average strain and stress in any...