Generate country-scale networks of interaction from scattered statistics
نویسندگان
چکیده
It is common to define the structure of interactions among a population of agents using the social network metaphor. Most agentbased models were shown to be highly sensitive to that network, so the relevance of simulation results depends directly on the descriptive power of that network. When studying social dynamics in large populations, this network cannot be collected, and is rather generated by algorithms which aim to fit general properties of social networks. However, more precise data is available at a country scale in the form of socio-demographic studies, census or sociological studies. These “scattered statistics” provide rich information, especially on agents’ attributes, similar properties of tied agents and affiliations. In this paper, we propose a generic methodology to bring together these scattered statistics with Bayesian networks. We explain how to generate a population of heterogeneous agents, and how to create links by using both scattered statistics and knowledge on social selection processes. The methodology is illustrated by generating an interaction network for rural Kenya which includes family structure, colleagues and friendship. That network is constrained by data available from statistics and field studies. 1 Context & problematic
منابع مشابه
Statistics of Exciton Emission in a Semiconductor Microcavity: Detuning and Exciton-Exciton Effects
We consider the interaction of quantum light with an ideal semiconductor microcavity. We investigate photon statistics in different conditions and the presence of detuning and exciton-exciton interaction. We show that in the resonant interaction and absence of the exciton-exciton interaction, the state of the whole system can be considered as coherent state. According to our results, it turns...
متن کاملLocating and Offering Optimal Price Distributed Generation Resources to Increase Profit Using Ant Lion Optimization Algorithm
Distribution of distributed generation resources in distribution systems has several advantages, including reducing losses, improving voltage profiles, reducing pollution, and increasing system reliability. However, one of the most important points regarding the placement of these resources in distribution networks is economic issues and the return on investment and the increase in profits from...
متن کاملComparison of Hubs in Effective Normal and Tumor Protein Interaction Networks
ABSTRACTIntroduction: Cancer is caused by genetic abnormalities, such as mutation of ontogenesis or tumor suppressor genes which alter downstream signaling pathways and protein-protein interactions. Comparison of protein interactions in cancerous and normal cells can be of help in mechanisms of disease diagnoses and treatments. Methods: We constructed protein interaction networks of cancerous a...
متن کاملA multi-scale convolutional neural network for automatic cloud and cloud shadow detection from Gaofen-1 images
The reconstruction of the information contaminated by cloud and cloud shadow is an important step in pre-processing of high-resolution satellite images. The cloud and cloud shadow automatic segmentation could be the first step in the process of reconstructing the information contaminated by cloud and cloud shadow. This stage is a remarkable challenge due to the relatively inefficient performanc...
متن کامل