Results 71 to 80 of about 4,687,284 (299)
Multiplexing in networks and diffusion
We study multiplexing—the extent to which people have multiple, distinct types of relationships with the same others. We document empirical multiplexing patterns in Indian village data. We show that relationships such as socializing, advising, helping, and lending are correlated but distinct, while commonly used proxies for networks based on ethnicity ...
Arun G. Chandrasekhar +3 more
openaire +2 more sources
A Link Prediction Algorithm Based on Layer Attention Mechanism for Multiplex Networks
Link prediction is a technique for predicting future or missing relationships between entities based on current network information. Recent studies on link prediction in multiplex networks have improved prediction accuracy by considering inter-layer ...
Mingzhou Yang, Yongqi He
doaj +1 more source
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Multiplex Graph Association Rules for Link Prediction [PDF]
Multiplex networks allow us to study a variety of complex systems where nodes connect to each other in multiple ways, for example friend, family, and co-worker relations in social networks. Link prediction is the branch of network analysis allowing us to
Coscia, Michele +1 more
core +1 more source
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Layer Imbalance Aware Multiplex Network Embedding
Multiplex network embedding is an effective technique to jointly learn the low-dimensional representations of nodes across network layers. However, the number of edges among layers may vary significantly.
Chen, Kejia, Qiu, Yinchu, Liu, Zheng
core
Synchronization Induced by Layer Mismatch in Multiplex Networks
Heterogeneity among interacting units plays an important role in numerous biological and man-made complex systems. While the impacts of heterogeneity on synchronization, in terms of structural mismatch of the layers in multiplex networks, has been ...
Md Sayeed Anwar +3 more
doaj +1 more source
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
Market orientation and innovation behaviour:how do service employees benefit from their uniplex and multiplex intrafirm network centrality? [PDF]
Intrafirm networks enable service employees to transform market orientation behaviours into innovation behaviours. Few studies, however, have investigated how network centrality in intrafirm networks can moderate this relationship.
Zhu, Tao +3 more
core +1 more source
Communication in multiplex transportation networks
Abstract Complex networks are made up of vertices and edges. The edges, which may be directed or undirected, are equipped with positive weights. Modeling complex systems that consist of different types of objects leads to multilayer networks, in which vertices in distinct layers represent different kinds of ...
Noschese S., Reichel L.
openaire +2 more sources

