Results 41 to 50 of about 36,296 (256)
Influence Maximization in Ising Models
CoRR, 2023 Given a complex high-dimensional distribution over $\{\pm 1\}^n$, what is the best way to increase the expected number of $+1$'s by controlling the values of only a small number of variables? Such a problem is known as influence maximization and has been widely studied in social networks, biology, and computer science.
Chen, Zongchen, Mossel, Elchanan
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Maximizing Multifaceted Network Influence
2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019 An information dissemination campaign is often multifaceted, involving several facets or pieces of information disseminating from different sources. The question then arises, how should we assign such pieces to eligible sources so as to achieve the best viral dissemination results?
Yuchen Li 0001 +3 more
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Influence Maximization Using Influence and Susceptibility Embeddings
Proceedings of the International AAAI Conference on Web and Social Media, 2020 Finding a set of users that can maximize the spread of information in a social network is an important problem in social media analysis — being a critical part of several real-world applications such as viral marketing, political advertising and epidemiology.
Panagopoulos, George +2 more
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Research on the Dynamic Multisocial Networks Influence Maximization Problem Based on Common Users
IEEE Access, 2021 The influence maximization problem of a single social network is to find a set of $k$ seed nodes $S$ so that the spread of information from the seed set to the single network has the largest influence. This problem has attracted the attention of many
Yanhong Meng +4 more
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Influence maximization on temporal networks [PDF]
Physical Review E, 2020 We consider the optimization problem of seeding a spreading process on a temporal network so that the expected size of the resulting outbreak is maximized. We frame the problem for a spreading process following the rules of the susceptible-infected-recovered model with temporal scale equal to the one characterizing the evolution of the network topology.
Şirag Erkol +2 more
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Budgeted Online Influence Maximization
, 2020 37th International Conference on Machine Learning (ICML 2020), 28 ...
Perrault, Pierre +3 more
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FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
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Online influence maximization [PDF]
, 2016 Social networks, such as Twitter and Facebook, enable the wide spread of information through users’ influence on each other. These networks are very useful for marketing purposes. For example, free samples of a product can be given to a few influencers (seed nodes), with the hope that they will convince their friends to buy it.
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Correlation Robust Influence Maximization
CoRR, 2020 We propose a distributionally robust model for the influence maximization problem. Unlike the classic independent cascade model \citep{kempe2003maximizing}, this model's diffusion process is adversarially adapted to the choice of seed set. Hence, instead of optimizing under the assumption that all influence relationships in the network are independent,
Louis Chen +3 more
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Phosphoinositides and inositol phosphates as molecular glues
FEBS Letters, EarlyView.Inositol phosphates (IPs) and phosphoinositides (PIPs) regulate diverse eukaryotic processes. Beyond recruiting signaling proteins or acting as structural cofactors, recent studies suggest they mediate protein–protein interactions as natural molecular glues.
Aleshia Seaton‐Terry +9 more
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