Projects for reducing emissions from deforestation and forest degradation (REDD+) have been initiated in developing countries, featuring partnerships with multiple actors under the global climate change regime. Even though between stakeholders are crucial ensuring successful project deliveries, there is a lack of knowledge about sectoral within REDD+ projects. This study aims to measure structu...

This paper provides a survey of some of the available MEMS Inertial Measurement Units (IMUs) and some of the applications that MEMS are fulfilling. Inertial MEMS have been under development for over 20 years and numerous suppliers world-wide now exist. The performance of these IMUs spans the range from consumer/automotive grade (low performance) to tactical grade (~1 deg/hour, ~1 milli g). Tact...

Social networks have well documented effects at the individual and aggregate level. Consequently it is often useful to understand how an attempt to influence a network will change its structure and consequently achieve other goals. We develop a framework for network modification that allows for arbitrary objective functions, types of modification (e.g. edge weight addition, edge weight removal,...

The possibility of resolving the tension between trust as a psychological condition and trust as a general organizing principle depends on assumptions about the convergence of expressed and perceived trust relations. In empirical organizational research these assumptions are frequently left implicit and only rarely modeled directly. Using data that we have collected on trust relations within th...

Group-based brain connectivity networks have great appeal for researchers interested in gaining further insight into complex brain function and how it changes across different mental states and disease conditions. Accurately constructing these networks presents a daunting challenge given the difficulties associated with accounting for inter-subject topological variability. Viable approaches to ...

This paper uses a social network approach to examine gender clustering in a complete network of teenagers and their friends. It demonstrates the advantages of using increasingly sophisticated social network techniques, including clustering coefficients and their visualization, and social selection models within the ERGM framework, to visualize and explain the process of clustering which takes p...

There has been a great deal of interest recently in the modeling and simulation of dynamic networks, i.e., networks that change over time. One promising model is the separable temporal exponential-family random graph model (ERGM) of Krivitsky and Handcock, which treats the formation and dissolution of ties in parallel at each time step as independent ERGMs. However, the computational cost of fi...

We compare two broad types of empirically grounded random network models in terms of their abilities to capture both network features and simulated Susceptible-Infected-Recovered (SIR) epidemic dynamics. The types of network models are exponential random graph models (ERGMs) and extensions of the configuration model. We use three kinds of empirical contact networks, chosen to provide both varie...

Table A. ERGM Notations Network Graph Y, Yij a random network graph matrix, its i,j element Y-ij all elements except i,j y the set of all possible graphs for a fixed set of notes y, yij y, yij a realization of the random network graph and its i,j element zk(y) a statistic of network graph y Network Statistics t total number of edges d2 number of nodes which have at least 2 edges hs number of ed...

Ensembles of networks arise in many scientific fields, but there are relatively few statistical tools for inferring their generative processes, particularly the presence both dyadic dependence and cross-graph heterogeneity. To address this gap, we propose characterizing network ensembles via finite mixtures exponential family random graph models (ERGMs), a class parametric that has been success...