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CRII: Interpretable Influence Propagating and Blocking on Graphs — NSF Award to Mississippi State University (MS, $188,004)

As networks including virtual (e.g., social networks) and physically grounded (e.g., transportation networks) increase in complexity, the need to understanding the spread of network influence is crucial. Influence in networks has been the subject of increasing attention among researchers due to its far-reaching social

Award titleCRII: Interpretable Influence Propagating and Blocking on Graphs
Award ID2153369
AwardeeMississippi State University
CityMISSISSIPPI STATE
StateMS
Amount obligated$188,004
Principal investigatorZhiqian Chen
ProgramInfo Integration & Informatics
Start date05/01/2022
AbstractAs networks including virtual (e.g., social networks) and physically grounded (e.g., transportation networks) increase in complexity, the need to understanding the spread of network influence is crucial. Influence in networks has been the subject of increasing attention among researchers due to its far-reaching social and commercial implications. For instance, the objective of information propagation or viral marketing is to identify the most prominent trend setters capable of influencing vast n
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