Results 51 to 60 of about 484,377 (242)
A New Structure-Hole-Based Algorithm For Influence Maximization in Large Online Social Networks
IEEE Access, 2017 The problem of influence maximization (IM) in a social network is to determine a set of nodes that could maximize the spread of influence. The IM problem has been vitally applied to marketing, advertising, and public opinion monitoring.
Jinghua Zhu, Yong Liu, Xuming Yin
doaj +1 more source
Learning node embedding from graph structure and node attributes
, 2021 Learning node embedding for graphs has been proved essential for a wide range of applications, from recommendation to community search. However, most existing approaches mainly focus on either the graph structure information or the attribute (feature) information, and thus cannot make full use of the information of the graph data.
openaire +3 more sources
Structure and function of rat lymph nodes
Archives of Histology and Cytology, 2008 The lymph node comprises a critical crossroad for encounters between antigen presenting cells, antigens from lymph, and lymphocytes recruited into lymph nodes from the blood. The node consists of spaces lined with lymphatic endothelial cells and parenchyma.
Osamu, Ohtani, Yuko, Ohtani
openaire +3 more sources
Molecular Oncology, EarlyView.Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat +8 more
wiley +1 more source
Conditional network embeddings [PDF]
, 2019 Network Embeddings (NEs) map the nodes of a given network into $d$-dimensional Euclidean space $\mathbb{R}^d$. Ideally, this mapping is such that 'similar' nodes are mapped onto nearby points, such that the NE can be used for purposes such as link ...
De Bie, Tijl, Kang, Bo, Lijffijt, Jefrey
core
Centrality scaling in large networks
, 2010 Betweenness centrality lies at the core of both transport and structural vulnerability properties of complex networks, however, it is computationally costly, and its measurement for networks with millions of nodes is near impossible.
M. Seshadri +6 more
core +1 more source
Information transfer of an Ising model on a brain network [PDF]
, 2013 We implement the Ising model on a structural connectivity matrix describing the brain at a coarse scale. Tuning the model temperature to its critical value, i.e.
Angelini, Leonardo +5 more
core +2 more sources
Design and Reliability Analysis of a Novel Redundancy Topology Architecture
Sensors, 2022 Topology architecture has a decisive influence on network reliability. In this paper, we design a novel redundancy topology and analyze the structural robustness, the number of redundant paths between two terminal nodes, and the reliability of the ...
Fei Li +4 more
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Spectral Analysis of Protein-Protein Interactions in Drosophila melanogaster
, 2004 Within a case study on the protein-protein interaction network (PIN) of Drosophila melanogaster we investigate the relation between the network's spectral properties and its structural features such as the prevalence of specific subgraphs or duplicate ...
B. Bollobás +11 more
core +1 more source