Networks for the Future: A Mathematical Network Analysis of the Partnership Data for Sustainable Development Goals

Abstract

This research project analyzes the Partnership Data for Sustainable Development Goals to determine geographical coverage of the projects as well as the relationships of project proponents working in support of sustainable development. We perform a network analysis of the project proponents and measure connectivity through a variety of mathematical modeling techniques including degree rank, betweenness centrality, cut degree and pagerank metrics. We observe that the network consists of one giant component containing a majority of entities surrounded by a corona of small independent clusters. We conclude that mathematical modeling supports existing scholarly literature that proclaims sustainable development as a soft law paradigm with widespread support.

Assessment of Online Deliberative Quality: New Indicators Using Network Analysis and Time-Series Analysis

“…In our case, the term degree denotes the number of online comments. Most social networks show a highly right-skewed degree distribution, where a majority of nodes exhibit a small number of degrees with a handful of highly active nodes (e.g., social influencers) [85]. Our case did not deviate from this tendency.…”

“…If there are n commentators and m proposals, an edge set E can be represented as a matrix with a size of n × m that contains x uv elements. We designate k u as the degree of node u ∈ U and d v as the degree of node v ∈ V, where the degree refers to the number of edges connected to each node [85]. If we consider a time dimension, the network B contains additional time-varying functions B(t) = {U(t), V(t), E(t)}.…”

The future of the international financial system: The emergingCBDCnetwork and its impact on regulation

“…Legal issues should be managed to develop “shared working norms” as far as possible to minimize risks and ensure global financial stability (Raghuveera & Bray, 2020). Moving forward, international regime analysis may be useful when “formal norms, values or beliefs” have converged (Egelston et al, 2019, p. 3) and CBDC outcomes could be “influenced by a constellation of rules” (Martin & Simmons, 1998, p. 737).…”

“…Network analysis examines what is happening and enables predictions as to network creation and development, as well as the investigation of networks' impacts on actors' behaviors (Hafner‐Burton et al, 2009, p. 563). Network perspectives allow analysis of the relationships among actors to determine the structure of the network over its life cycle and the network's effects on actors (Egelston et al, 2019, p. 3). While many factors remain up in the air, this article provides a hypothetical and forward‐looking application of network theory to the prospect of the introduction of CBDCs by various jurisdictions.…”