Iain S Weaver
Biographic Data
| ID | 636036 |
|---|---|
| NAME | Iain S Weaver |
| GIVEN NAMES | Iain S |
| FAMILY NAME | Weaver |
| SIGNATURE | WEAVER I S |
| AFFILIATIONS | University of Exeter |
| ORCID | 0000-0003-4714-9606 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Best of times, worst of times
The 2022 oil and gas crisis resulted in record fossil-fuel profits globally that rehabilitated the oil and gas industry, obstructed the energy transition and contributed to inflation, but their magnitude and beneficiaries have been insufficiently understood. Here we show the size of profits across countries and their distribution across socio-economic groups within the United States, using company income statements, comprehensive ownership data a…
Ground-truthing political elites in the public sphere
Political elites express their ideological positions on contentious issues across various arenas in the public sphere. Social science research often relies on data extracted from various media or political and administrative sources, as well as surveys that are administered directly with the political actor. Although some studies compare ideology across different sources, few systematically analyze how political actors adjust their ideological me…
Is it correct to project and detect? How weighting unipartite projections influences community detection
Bipartite networks represent pairwise relationships between nodes belonging to two distinct classes. While established methods exist for analyzing unipartite networks, those for bipartite network analysis are somewhat obscure and relatively less developed. Community detection in such instances is frequently approached by first projecting the network onto a unipartite network, a method where edges between node classes are encoded as edges within o…
Dynamic social media affiliations among UK politicians
Inter-personal affiliations and coalitions are an important part of politicians’ behaviour, but are often difficult to observe. Since an increasing amount of political communication now occurs online, data from online interactions may offer a new toolkit to study ties between politicians; however, the methods by which robust insights can be derived from online data require further development, especially around the dynamics of political social ne…
Ground-truthing political elites in the public sphere
Political elites express their ideological positions on contentious issues across various arenas in the public sphere. Social science research often relies on data extracted from various media or political and administrative sources, as well as surveys that are administered directly with the political actor. Although some studies compare ideology across different sources, few systematically analyze how political actors adjust their ideological me…
Is it correct to project and detect? How weighting unipartite projections influences community detection
Bipartite networks represent pairwise relationships between nodes belonging to two distinct classes. While established methods exist for analyzing unipartite networks, those for bipartite network analysis are somewhat obscure and relatively less developed. Community detection in such instances is frequently approached by first projecting the network onto a unipartite network, a method where edges between node classes are encoded as edges within o…
Dynamic social media affiliations among UK politicians
Inter-personal affiliations and coalitions are an important part of politicians’ behaviour, but are often difficult to observe. Since an increasing amount of political communication now occurs online, data from online interactions may offer a new toolkit to study ties between politicians; however, the methods by which robust insights can be derived from online data require further development, especially around the dynamics of political social ne…
Is it correct to project and detect? How weighting unipartite projections influences community detection
Bipartite networks represent pairwise relationships between nodes belonging to two distinct classes. While established methods exist for analyzing unipartite networks, those for bipartite network analysis are somewhat obscure and relatively less developed. Community detection in such instances is frequently approached by first projecting the network onto a unipartite network, a method where edges between node classes are encoded as edges within o…
Best of times, worst of times
The 2022 oil and gas crisis resulted in record fossil-fuel profits globally that rehabilitated the oil and gas industry, obstructed the energy transition and contributed to inflation, but their magnitude and beneficiaries have been insufficiently understood. Here we show the size of profits across countries and their distribution across socio-economic groups within the United States, using company income statements, comprehensive ownership data a…
Ground-truthing political elites in the public sphere
Political elites express their ideological positions on contentious issues across various arenas in the public sphere. Social science research often relies on data extracted from various media or political and administrative sources, as well as surveys that are administered directly with the political actor. Although some studies compare ideology across different sources, few systematically analyze how political actors adjust their ideological me…
Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Law (2 works) · Mathematics (2 works) · Opinion Dynamics and Social Influence (2 works) · Political economy (2 works) · Political science (2 works) · Politics (2 works) · Public relations (2 works) · Social Media and Politics (2 works)