Pairwise Interaction Pattern in the Weighted Communication Network

Although recent studies show that both topological structures and human dynamics can strongly affect information spreading on social networks, the complica.

Pairwise Interaction Pattern in The Weighted Communication Network

Pairwise Interaction Pattern in The Weighted Communication Network. Xiao-Ke Xu∗†, Jian-Bo Wang‡, Ye Wu§ and Michael Small¶. ∗College of Information and ...

(PDF) Pairwise Interaction Pattern in The Weighted Communication ...

PDF | Although recent studies show that both topological structures and human dynamics can strongly affect information spreading on social networks,.

[PDF] Pairwise Interaction Pattern in the Weighted Communication ...

A strong pair wise interaction is found based on analyzing the weighted network generated by the short message communication dataset within a Chinese ...

arXiv:1203.1105v1 [physics.soc-ph] 6 Mar 2012

Pairwise interaction pattern in the weighted communication network. Xiao-Ke Xu1,2,∗ Jian-Bo Wang3, Ye Wu4, and Michael Small5,1†. 1Department ...

A rumor spreading pairwise model on weighted networks

Besides, by assuming that the transmission rate is a linear function of the edge weight, numerical simulation results of the model on networks with a bimodal ...

Network analysis

... networks) or the frequency of interactions between two species (weighted networks). Binary and weighted interaction networks are analyzed differently. Networks ...

Pairwise-interactions-based Bayesian Inference of Network ...

In many scenarios, however, the interactions between nodes in an underlying network are unavailable. Although many methods for inferring a network structure ...

Pairwise weighted interaction matrix in two empirical systems....

Results Through the protocol, we demonstrated how pre-network data permutations allow researchers to assess non-random aspects of interactions within a ...

Pairwise Alignment of Protein Interaction Networks

Detailed experimental results from an implementation of the proposed framework show that our algorithm is able to discover conserved interaction patterns very ...

The structure balance of gene-gene networks beyond pairwise ...

Specifically, we ask whether essential and nonessential gene interaction networks are structurally balanced. We study triadic interactions in the weighted ...

Synchronization induced by directed higher-order interactions - Nature

While directionality has been thoroughly accounted for in networks with pairwise interactions, its effects in systems with higher-order ...

PiLSL: pairwise interaction learning-based graph neural network for ...

latent features of the pairwise interaction from the weighted enclosing graph. ... method that applies three statistical inference procedures (i.e. gen-.

The structure and dynamics of networks with higher order interactions

There is, however, a fundamental limit to such a representation: networks capture only pairwise interactions, whereas the functioning of many ...

Rediscovering the power of pairwise interactions - Princeton University

Recently it has been sug- gested that the full pattern of correlations among all the neurons in such a network can be described by the maxi- mum ...

Reconstructing higher-order interactions in coupled dynamical ...

Namely, we consider a system of ordinary differential equations (ODE) describing a set of dynamical units (nodes) coupled through pairwise and ...

The structure balance of gene-gene networks beyond pairwise ...

We study triadic interactions in the weighted signed undirected gene networks and observe that balanced and unbalanced triads are over and ...

Regularized logistic regression with network-based pairwise ...

12 that the opposite patterns between the two classes are clear in interaction data but not in the gene expression data. Some of the genes are ...

Dual Feature Interaction-Based Graph Convolutional Network

... networks (GCNs) have attracted increasing ... pairwise interactions among nodes in the neighborhood to expand a weighted sum operation.

Clustering Coefficient Reflecting Pairwise Relationships within ...

A network is a structure that represents components and their interactions. The most common type of network is the undirected simple graph, ...