Results 91 to 100 of about 6,507,474 (284)
Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach
IEEE Access, 2018 Identifying a small subset of influential individuals on social networks can bring great benefits for many practical applications like viral marketing. This issue is typically formulated as the influence maximization problem.
Fanghua Ye +5 more
doaj +1 more source
FEBS Open Bio, EarlyView.Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source
A Community-Based Method for Identifying Influential Nodes Using Network Embedding
International Journal of Information and Communication Technology Research, 2022 People's influence on their friends' personal opinions and decisions is an essential feature of social networks. Due to this, many businesses use social media to convince a small number of users in order to increase awareness and ultimately maximize ...
Narges Vafaei, Mohammad Reza Keyvanpour
doaj
A Node Embedding-Based Influential Spreaders Identification Approach
Mathematics, 2020 Node embedding is a representation learning technique that maps network nodes into lower-dimensional vector space. Embedding nodes into vector space can benefit network analysis tasks, such as community detection, link prediction, and influential node ...
Dongming Chen +4 more
doaj +1 more source
Online Competitive Influence Maximization
CoRR, 2020 Online influence maximization has attracted much attention as a way to maximize influence spread through a social network while learning the values of unknown network parameters. Most previous works focus on single-item diffusion. In this paper, we introduce a new Online Competitive Influence Maximization (OCIM) problem, where two competing items (e.g.,
Jinhang Zuo +4 more
openaire +3 more sources
, 2020 In this paper, we address the important issue of uncertainty in the edge influence probability estimates for the well studied influence maximization problem -the task of finding k seed nodes in a social network to maximize the influence spread.
Zihan Tan +4 more
core
Community-based influence maximization in attributed networks
, 2020 Influence Maximization, aiming at selecting a small set of seed users in a social network to maximize the spread of influence, has attracted considerable attention recently. Most existing influence maximization algorithms focus on pure networks, while in
Huang, H., Shen, H., Meng, Z.
core +1 more source
FEBS Open Bio, EarlyView.Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo +4 more
wiley +1 more source
FEBS Open Bio, EarlyView.KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph +7 more
wiley +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
FEBS Open Bio, EarlyView.Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source