In this article, we study a highly generic version of influence maximization, one of optimizing influence campaigns by sequentially selecting “spread seeds” ...
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Influence maximization is the problem of finding influential users, or nodes, in a graph so as to maximize the spread of information.
Topics · Influence Maximization · Influence Campaigns · Graphs · Diffusion Networks · Diffusion Models · Social Networks · Estimator (opens in a new tab) ...
Feb 17, 2017 · In this paper, we study a highly generic version of influence maximization, one of optimizing influence campaigns by sequentially selecting spread seeds from a ...
Feb 12, 2019 · L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non ...
Jan 29, 2024 · Many social media platforms, including Instagram, use algorithms to put content in front of consumers. This does more than just curate a content ...
Influencers have made it their business to under- stand the algorithms that govern visibility on social media as a means of growing their follower-base.
Influence maximization is the problem of finding influential users, or nodes, in a graph so as to maximize the spread of information.
Apr 24, 2024 · Algorithms play a significant role in influencer marketing as it is what decides what content is shown to whom and how many people it's shown to ...
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Sep 8, 2024 · Stay ahead in influencer marketing despite changing social media algorithms. Analyze data, engage authentically, and diversify platforms for ...