Network of connections is an informal institution, which affects agents’ decisions as well as their outcomes. Dominant neoclassical paradigm has neglected the role of connections and links, due to its atomistic view, while social networks can play a crucial role with regards to economic and social phenomena, such as migration, job finding, crime network, learning, financial crisis contagion, mi...

Rainfall is one of the most important elements of water cycle used in evaluating climate conditions of each region. Long-term forecast of rainfall for arid and semi-arid regions is very important for managing and planning of water resources. To forecast appropriately, accurate data regarding humidity, temperature, pressure, wind speed etc. is required.This article is analytical and its database...

Purpose. the purpose of this research is to analyze scientific information sharing of Shahid Chamran University of Ahvaz faculty in social networks.Method. This study which is conducted through quantitative and qualitative methods, is an applied research in terms of aim, and is of a descriptive-analytic type in nature. The population included all faculty members of Shahid Chamran Universi...

Background and Aim: this research investigates the impact of authors’ rank in Bibliographic networks on document-centered model of Expertise Retrieval. Its purpose is to find out what kind of authors’ ranking in bibliographic networks can improve the performance of document-centered model.   Methodology: Current research is an experimental one. To operationalize research goals, a new test colle...

Background and Aim: Human Knowledge depends on data and information that is emerged and transffered from different channels. The dessimination process is different from type, form of transfer, and distribution based on information or awareness. This survey compares the librarians and information scienctist’s information transferring capabilities in mass media and social networks. Methods: This ...

when a vehicle travels on a road, different parts of vehicle vibrate because of road roughness. this paper proposes a method to predict road roughness based on vertical acceleration using neural networks. to this end, first, the suspension system and road roughness are expressed mathematically. then, the suspension system model will identified using neural networks. the results of this step sho...