Using a small-scale descriptive network analysis approach, this study highlights the importance of stakeholder networks for identifying valuable stakeholders and the management...

Mean characteristics of study participants.

Mean network characteristics of study participants across all networks.

DBP model selection using multilinear regression.

Surveillance plays a crucial role in preventing emerging infectious diseases from becoming epidemic. In circumstances where it is possible to monitor the infection status of...

Pairwise Network Comparison Results.

Values of the physicochemical variables and the biotic indices -IBMWP (Iberian Biological Monitoring Working Party) and IMMi-T (Iberian Mediterranean Multimetric Index)- used to...

Power law test for second-order degrees of production.

Node Meta-information Assessment.

Network Structure for each Organization.

Average, standard deviation, and median of the degrees of demand.

This paper aims to explain the macroeconomic volatility due to microeconomic shocks to one or several sectors, recognizing the non-symmetrical relation in the interaction among...

ACE haplotypes.

Analysis of the impact of aggregate volatility.

Python for Power System Analysis (PyPSA) is a free software toolbox for simulating and optimising modern power systems that include features such as conventional...

Homophily, the tendency of individuals to associate with others who share similar traits, has been identified as a major driving force in the formation and evolution of social...

Degree heterogeneity is represented by the variance of the degree distribution divided by its mean, σ2/μ, and Q is the modularity of the network.

This release archives the first draft of Scottish Nationalism[s], containing the network data and a first analysis. This is subject to revision.