Part I: Reconstruction of Missing Data in Social Networks Based on Temporal Patterns of Interactions Part II: Constitutive Modeling in Solid Mechanics for Graphics Applications
نویسنده
چکیده
of the Dissertation Part I: Reconstruction of Missing Data in Social Networks Based on Temporal Patterns of Interactions Part II: Constitutive Modeling in Solid Mechanics for Graphics Applications
منابع مشابه
A Review of Spatial Factor Modeling Techniques in Recommending Point of Interest Using Location-based Social Network Information
The rapid growth of mobile phone technology and its combination with various technologies like GPS has added location context to social networks and has led to the formation of location-based social networks. In social networking sites, recommender systems are used to recommend points of interest (POIs) to users. Traditional recommender systems, such as film and book recommendations, have a lon...
متن کاملA Genetic Algorithm based Optimization Method in 3D Solid Reconstruction from 2D Multi-View Engineering Drawings
There are mainly two categories for a 3D reconstruction from 2D drawings: B-Rep and CSG that both these methods have serious weaknesses despite being useful. B-Rep method which has been older and have wider function range is problematic because of high volume of calculations and vagueness in answers and CSG method has problem in terms of very limited range of volumes and drawings that it can an...
متن کاملImprovement of Methanol Synthesis Process through a Novel Sorption-Enhanced Fluidized-bed Reactor, Part I: Mathematical Modeling
In the first part of two section paper, a mathematical model of the fluidized bed reactor in the presence of in-situ water adsorbent for methanol synthesis is assessed. The bubbling two-phase regime is applied to model the fluidization concept. The binary adsorbent and catalyst particles system can be separated from each other based on their density difference. The heavy catalyst particles tend...
متن کاملReconstruction of missing data in social networks based on temporal patterns of interactions
We discuss a mathematical framework based on a self-exciting point process aimed at analyzing temporal patterns in the series of interaction events between agents in a social network. We then develop a reconstruction model that allows one to predict the unknown participants in a portion of those events. Finally, we apply our results to the Los Angeles gang network.
متن کاملThe patterns and behaviors of researchers’ knowledge sharing in scientific social networks:A Case Study of Research Gate’ Question And Answer System
Aim: Scientific social networks were shaped as part of a set of social software and a platform for international interactions sharing the tangible and intangible knowledge of researchers. The purpose is to investigate the patterns and behaviors of knowledge sharing of researchers in Research Gate. Based on this, the question and answer system of this scientific social network was analyzed and r...
متن کامل