id: 06015939
dt: j
an: 06015939
au: Cruz, Fermín L.; Vallejo, Carlos G.; Enrı\'quez, Fernando; Troyano, José
    A.
ti: PolarityRank: finding an equilibrium between followers and contraries in a
    network.
so: Inf. Process. Manage. 48, No. 2, 271-282 (2012).
py: 2012
pu: Elsevier Science (Pergamon), Kidlington, Oxon
la: EN
cc: 
ut: ranking algorithms; graphs; relevance computing; sentiment analysis; data
    mining
ci: 
li: doi:10.1016/j.ipm.2011.08.003
ab: Summary: In this paper we present the relevance ranking algorithm named
    PolarityRank. This algorithm is inspired in PageRank, the webpage
    relevance calculus method used by Google, and generalizes it to deal
    with graphs having not only positive but also negative weighted arcs.
    Besides the definition of our algorithm, this paper includes the
    algebraic justification, the convergence demonstration and an empirical
    study in which PolarityRank is applied to two unrelated tasks where a
    graph with positive and negative weights can be built: the calculation
    of word semantic orientation and instance selection from a learning
    dataset.
rv: