Results 61 to 70 of about 6,507,474 (284)

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, Dario Mazzilli, Filippo Radicchi   +2 more
openaire   +3 more sources

A Study on Influence Maximization in Complex Networks

, 2023
Influence maximization deals with finding the most influential subset from a given complex network. It is a research problem that can be resourceful for various markets, for instance, the advertising market.
Pranay, Kakarla, Susarla, Akhila, Nandini, YV, Ravi Ram Karthik, Dukka, Mani Saketh, Chennapragada VSS, Tangirala, Jaya Lakshmi   +5 more
core   +1 more source

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

Higher-order learning for fairness: a reinforcement learning framework for equitable and efficient influence maximization

Journal of King Saud University: Computer and Information Sciences
In the governance of online public opinion, the challenge of maximizing influence increasingly requires the simultaneous optimization of both dissemination breadth and fairness among groups.
Peijun Guo, Huan Li, Xinyue Mo
doaj   +1 more source

Influence maximization through user interaction modeling

, 2020
International audienceA majority of influence maximization models in social networks in literature are based on a seminal work by Kempe et al., in which two classic influence models were proposed i.e Linear Threshold Model and Independent Cascade Model ...
Younes, Amine Ait, Younes, Amine, Amine Aït Younes, Cyril de Runz, de Runz, Cyril, Guessoum, Zahia, David Oriedi, Henry Nyongesa, Nyongesa, Henry, Oriedi, David, Zahia Guessoum   +10 more
core   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy

FEBS Letters, EarlyView.
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley   +1 more source

BUDGET-CONSTRAINED ROBUST INFLUENCE MAXIMIZATION [PDF]

, 2023
Departing from traditional combinatorial, independent cascade influence maximization, we propose a continuous, correlation-robust influence maximization model.
Berg, Jeremy L.
core   +2 more sources

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
openaire   +5 more sources

Influence spreading path and its application to the time constrained social influence maximization problem and beyond [PDF]

, 2014
—Influence maximization is a fundamental research problem in social networks. Viral marketing, one of its applications, is to get a small number of users to adopt a product, which subsequently triggers a large cascade of further adoptions by utilizing ...
Liu, Bo, Yifeng Zeng, Dong Xu, Zeng, Yifeng, Yeow Meng Chee, Cong, Gao, Gao Cong, Xu, Dong, Chee, Yeow Meng, Bo Liu   +9 more
core   +1 more source