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The Barabási–Albert (BA) model is an algorithm for generating random scale-free networks using a preferential attachment mechanism. Several natural and human-made systems, including the Internet, the World Wide Web, citation networks, and some social networks are thought to be approximately scale-free and certainly contain few nodes (called hubs) with…
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model degree attachment preferential network networks displaystyle nodes ba scale-free barabási node albert distribution links new probability growth clustering algorithm
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the Erdős | instance of | while random graph models | 0.80 | text |
| instance of | i.e. very well known sites | 0.80 | text | |
| rather than to pages that hardly anyone knows | instance of | i.e. very well known sites | 0.80 | text |
| Barabási–Albert model | related to Clustering coefficient | The | 0.60 | section |
| Barabási–Albert model | related to Clustering coefficient | An | 0.60 | section |
| Barabási–Albert model | related to Clustering coefficient | BA | 0.60 | section |
| Barabási–Albert model | related to Clustering coefficient | Klemm | 0.60 | section |
| Barabási–Albert model | related to Clustering coefficient | Eguíluz | 0.60 | section |
| Barabási–Albert model | related to Clustering coefficient | Bollobás | 0.60 | section |
| Barabási–Albert model | related to Clustering coefficient | Fronczak | 0.60 | section |
| Barabási–Albert model | related to Clustering coefficient | Holyst | 0.60 | section |
| Barabási–Albert model | related to Clustering coefficient | Barabási | 0.60 | section |
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