Reducing patient surge: community based social networks as first responders
نویسندگان
چکیده
منابع مشابه
Overlapping Community Detection in Social Networks Based on Stochastic Simulation
Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...
متن کاملoverlapping community detection in social networks based on stochastic simulation
community detection is a task of fundamental importance in social network analysis. community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. there exist a variety of methods for community detection based on diffe...
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The structure of the community is one of the important features of social networks. A community is a sub graph which nodes have a lot of connections to nodes of inside the community and have very few connections to nodes of outside the community. The objective of community detection is to separate groups or communities that are linked more closely. In fact, community detection is the clustering...
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*Correspondence: [email protected] 1NSF Center for Research on Complex Networks, Texas Southern University, 3100 Cleburne Street, Houston, TX 77004, USA Full list of author information is available at the end of the article Abstract Background/Purpose: Community partition is of great importance in sociology, biology and computer science. Due to the exponentially increasing amount of social network ap...
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ژورنال
عنوان ژورنال: Natural Hazards
سال: 2021
ISSN: 0921-030X,1573-0840
DOI: 10.1007/s11069-021-04674-0