Network Intelligence Meets User Centered Social Media Networks
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- Artikel-Nr.: 10473638
Beschreibung
Data-based centrality measures.- Extracting the Main Path of historic events from Wikipedia.- Simulating trade in economic networks with TrEcSim.- Community Aliveness: Discovering interaction decay patterns in online social communities.- Network Patterns of Direct and Indirect Reciprocity in edX MOOC Forums.- Targeting influential nodes for recovery in bootstrap percolation on hyperbolic networks.- Trump versus Clinton - Twitter communication during the US primaries.- Extended feature-driven graph model for Social Media Networks.- Market basket analysis using minimum spanning trees.- Behavior-based relevance estimation for social networks interaction relations.- Sponge walker: Community detection in large directed social networks using local structures and random walks.- Identifying promising research topics in Computer Science.- Identifying accelerators of information diffusion across social media channels .- Towards an ILP approach for learning privacy heuristics from users' regrets.- Strength of nations: A case study on estimating the influence of leading countries using social media analysis.- Incremental learning in dynamic networks for node classification.
Eigenschaften
Breite: | 156 |
Gewicht: | 536 g |
Höhe: | 242 |
Länge: | 20 |
Seiten: | 247 |
Sprachen: | Englisch |
Autor: | H. Ulrich Hoppe, Piotr Bródka, Przemyslaw Kazienko, Reda Alhajj, Tobias Hecking |
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