Abstract
We examine computing the maximum expected influence on paths and trees using the independent cascade model. We designed a polynomial time method for determining the expected influence from any initial state on the independent cascade model on acyclic influence graphs in O(|V(G)|² · max {|V(G)|,|V(E)|}) time. We designed a polynomial time program that would computes the maximum expected influence and optimal initially selected nodes on arbitrary paths in O(|V(T)|⁶/[epsilon]) on approximating the maximum expected influence on arbitrary trees with absolute error of at most ([epsilon] · 2|V(T)|).
Library of Congress Subject Headings
Paths and cycles (Graph theory); Trees (Graph theory); Graph theory--Data processing
Publication Date
2011
Document Type
Thesis
Department, Program, or Center
Computer Science (GCCIS)
Advisor
Homan, Christopher
Recommended Citation
Mouravski, Andrei, "Influence maximization on families of graphs" (2011). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/351
Campus
RIT – Main Campus
Comments
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: QA166.22 .M68 2011