نتایج جستجو برای: community network

تعداد نتایج: 1013081  

Introduction: Obesity and hypertension are community health problems. The objective of this study was to diagnose obesity and hypertension in Isfahani students by artificial neural network. Method: The present study was a diagnostic and predictive one that used the information of 460 students aged 7-18 years old in Isfahan to design a neural network with 11 input variables (age, sex, weight, he...

Journal: :Journal of Sensors 2022

The purpose is to conform the development of times and study a new way urban community network governance. First, ways governance, social governance are discussed. Next, intelligent sensor function Internet things (IoT) technology applied realize communication between IoT An system based on an established. combines Kalman filtering dynamic monitoring mobile Application (APP) residents can updat...

Mobile social networks (MSNs) are a special type of Delay tolerant networks (DTNs) in which mobile devices communicate opportunistically to each other. One of the most challenging issues in Mobile Social Networks (MSNs) is to design an efficient message forwarding scheme that has a high performance in terms of delivery ratio, latency and communication cost. There are two different approaches fo...

2013
Juyong Lee Jooyoung Lee

The task of extracting the maximal amount of information from a biological network has drawn much attention from researchers, for example, predicting the function of a protein from a protein-protein interaction (PPI) network. It is well known that biological networks consist of modules/communities, a set of nodes that are more densely inter-connected among themselves than with the rest of the n...

2012
Ryan J. Hammer Thomas W. Moore Patrick D. Finley Robert J. Glass

Opinion clustering arises from the collective behavior of a social network. We apply an Opinion Dynamics model to investigate opinion cluster formation in the presence of community structure. Opinion clustering is influenced by the properties of individuals (nodes) and network topology. We determine the sensitivity of opinion cluster formation to changes in node tolerance levels through paramet...

Journal: :J. Community Informatics 2017
Aldo de Moor

Participatory community network mapping can support collaborative sensemaking within and across communities and their surrounding stakeholder networks. We introduce the CommunitySensor methodology under construction. After summarizing earlier work, we show how the methodology uses a cyclical approach by adopting a Community Network Development Cycle that embeds a Community Network Sensemaking C...

Journal: :CoRR 2017
Luisa Cutillo Mirko Signorelli

Community structure’ is a commonly observed feature of real networks. The term refers to the presence in a network of groups of nodes (communities) that feature high internal connectivity and are poorly connected to each other. Whereas the issue of community detection has been addressed in several works, the problem of validating a partition of nodes as a good community structure for a network ...

Undoubtedly, public spaces can be considered as an essential factor, which could contribute to urban arrangement, create and maintain a strong local center and enhance the quality of superior environment and the sense of citizenship. Moreover, integrity has always been the most basic structural qualities and one of the key principles of cities. Integrated urban spaces exhibit the integrated str...

The purpose of this study was to understand and explain the competencies affecting the performance of university departments in the age of networking, which was done from the perspective of department chairs and with an interdisciplinary approach in the field of educational management and communication sciences. The research method was qualitative and a case study type. The department chairs of...

In recent years, the sampling problem in massive graphs of social networks has attracted much attention for fast analyzing a small and good sample instead of a huge network. Many algorithms have been proposed for sampling of social network’ graph. The purpose of these algorithms is to create a sample that is approximately similar to the original network’s graph in terms of properties such as de...

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