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Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges).
This category contains articles that are supported by Wikipedia:WikiProject Computer networking. Articles are automatically added to this category by the {{WikiProject Computer networking}} template or by parameters given to the {{WikiProject Computing}} template. Statistics · Log
Research networking (RN) is about using tools to identify, locate and use research and scholarly information about people and resources. Research networking tools ( RN tools ) serve as knowledge management systems for the research enterprise.
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This category contains articles that are supported by Wikipedia:WikiProject Computer networking. Articles are automatically added to this category based on parameters in the {{ WikiProject Computing }} template.
Network problems that involve finding an optimal way of doing something are studied as combinatorial optimization.Examples include network flow, shortest path problem, transport problem, transshipment problem, location problem, matching problem, assignment problem, packing problem, routing problem, critical path analysis, and program evaluation and review technique.
A 2016 article in Times Higher Education reported that in a global survey of 20,670 people who use academic social networking sites, ResearchGate was the dominant network and was twice as popular as others: 61 percent of respondents who had published at least one paper had a ResearchGate profile. [4]
The Network Science Collaborative Technology Alliance (NS CTA) is a collaborative research alliance funded by the US Army Research Laboratory (ARL) and focused on fundamental research on the critical scientific and technical challenges that emerge from the close interdependence of several genres of networks such as social/cognitive, information, and communications networks.