Analysing the Role of Social Visits on Migrants’ Social Capital: A Personal Network Approach

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Finding cycles in directed graphs enables important applications in various domains such as finance, biology, chemistry, and network science. However, as the size of graph datasets continues to grow, it becomes increasingly difficult to discover cycles wit ...

The adaptive social learning paradigm helps model how networked agents are able to form opinions on a state of nature and track its drifts in a changing environment. In this framework, the agents repeatedly update their beliefs based on private observation ...

Total Flow Analysis (TFA) is a method for the worst-case analysis of time-sensitive networks. It uses service curve characterizations of the network nodes and arrival curves of flows at their sources; for tractability, the latter are often taken to be line ...

We propose an incentive mechanism for the sponsored content provider (CP) market in which the communication of users can be represented by a graph, and the private information of the users is assumed to have a continuous distribution function. The CP stipu ...

Human voluntary movement stems from the coordinated activations in space and time of many musculoskeletal segments. However, the current methodological approaches to study human movement are still limited to the evaluation of the synergies among a few body ...

Recent developments in network neuroscience have highlighted the importance of developing techniques for analysing and modelling brain networks. A particularly powerful approach for studying complex neural systems is to formulate generative models that use ...

Signalized intersections are a fundamental part of urban networks. Their understanding is crucial to identify congestion patterns, queues, delays, and safety issues in local and network level. In this work, we analyze multimodal vehicle trajectories and pr ...

Despite numerous applications of physically-based models for incised landscapes, their applicability for overland flow on unchanneled surfaces is not known. This work challenges a widely used landscape evolution model for the case of non-uniform rainfall a ...

Supplementary datasets accompanying the manuscript "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds" published in the Metabolic Engineering Journal (https://doi.org/10.1016/j.ymben.2022.03.013). In line w ...

Socio-technical energy transitions are long-term and major transformations in incumbent energy infrastructures. They include fundamental changes in technologies as well as institutions and social patterns. Transition studies are primarily focused on framew ...

Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and functions defined on the vertex set of the graph. We propose a regularization ...

The functional properties of resting brain activity are poorly understood, but have generally been related to self-monitoring and introspective processes. Here we investigated how emotionally positive and negative information differentially influenced subs ...

Analysing the Role of Social Visits on Migrants’ Social Capital: A Personal Network Approach

Chattez avec Graph Search

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles

Discovering Influencers in Opinion Formation Over Social Graphs

Efficient and Accurate Handling of Periodic Flows in Time-Sensitive Networks

Incentive Mechanism in the Sponsored Content Market With Network Effects

The kinectome: A comprehensive kinematic map of human motion in health and disease

Investigating cognitive ability using action-based models of structural brain networks

An automatized signal timing detection at signalized intersections with detailed vehicle trajectory data

Applicability of the landscape evolution model in the absence of rills

Supplementary datasets for "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds"

Three Essays on Methodologies for Dynamic Modeling of Emerging Socio-technical Systems : The Case of Smart Grid Development

A Regularization Framework for Mobile Social Network Analysis

Impact of transient emotions on functional connectivity during subsequent resting state: A wavelet correlation approach