Results 1 to 10 of about 256,683 (274)
Social Influence Maximization in Hypergraphs [PDF]
Entropy, 2021 This work deals with a generalization of the minimum Target Set Selection (TSS) problem, a key algorithmic question in information diffusion research due to its potential commercial value.
Alessia Antelmi +3 more
doaj +7 more sources
Influence maximization in Boolean networks [PDF]
Nature Communications, 2022 Boolean networks modelling various biological processes are characterized by nonlinear reversible dynamics that makes their control challenging. The authors introduce extended concepts of influence and control, typically considered in the study of ...
Thomas Parmer +2 more
doaj +4 more sources
Robust Influence Maximization [PDF]
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 12 pages, 4 figures, Technical Report, contains proofs for the paper appeared in KDD ...
Chen, Wei +4 more
core +7 more sources
Stability of influence maximization [PDF]
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014 The present article serves as an erratum to our paper of the same title, which was presented and published in the KDD 2014 conference. In that article, we claimed falsely that the objective function defined in Section 1.4 is non-monotone submodular.
He, Xinran, Kempe, David
openaire +3 more sources
Online Influence Maximization [PDF]
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015 Social networks are commonly used for marketing purposes. For example, free samples of a product can be given to a few influential social network users (or seed nodes), with the hope that they will convince their friends to buy it. One way to formalize this objective is through the problem of influence maximization (or IM), whose goal is to find the ...
Lei, Siyu +4 more
openaire +6 more sources
Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, 2014 Revised Sections 1, 2.3, and 5 to remove incorrect claims about reference [3]. Updated experiments accordingly.
Zaixin Lu, Weili Wu
core +5 more sources
Identifying essential proteins from protein–protein interaction networks based on influence maximization [PDF]
BMC Bioinformatics, 2022 Background Essential proteins are indispensable to the development and survival of cells. The identification of essential proteins not only is helpful for the understanding of the minimal requirements for cell survival, but also has practical ...
Weixia Xu +3 more
doaj +2 more sources
Efficient collective influence maximization in cascading processes with first-order transitions. [PDF]
Sci Rep, 2017 In social networks, the collective behavior of large populations can be shaped by a small set of influencers through a cascading process induced by "peer pressure". For large-scale networks, efficient identification of multiple influential spreaders with
Pei S +4 more
europepmc +2 more sources
Outbreak minimization v.s. influence maximization: an optimization framework [PDF]
BMC Medical Informatics and Decision Making, 2020 Background An effective approach to containing epidemic outbreaks (e.g., COVID-19) is targeted immunization, which involves identifying “super spreaders” who play a key role in spreading disease over human contact networks.
Chun-Hung Cheng +2 more
doaj +2 more sources
Maximal Clique Based Influence Maximization in Networks [PDF]
Information Processing and Management of Uncertainty in Knowledge-Based Systems18th International Conference, 2020 Influence maximization is a fundamental problem in several real life applications such as viral marketing, recommendation system, collaboration and social networks. Maximizing influence spreading in a given network aims to find the initially active vertex set of size k called seed nodes (or initial spreaders (In this paper, we use seed set and initial ...
Mhadhbi N, Raddaoui B.
europepmc +3 more sources