Steven L Wilson
Biographic Data
| ID | 4386494 |
|---|---|
| NAME | Steven L Wilson |
| GIVEN NAMES | Steven L |
| FAMILY NAME | Wilson |
| SIGNATURE | WILSON S L |
| AFFILIATIONS | Brandeis University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Measuring online political activity: Introducing the Digital Society Project Dataset
Political engagement is deeply enmeshed with online activity. However, there has been a lack of publicly available cross-country datasets enabling researchers and policymakers to understand how politics and digital space intersect. This paper introduces the Digital Society Project (DSP), which aims to provide systematic, cross-country measurement of political institutions and behavior that manifest online or are affected by online activity. Using…
Pinpointing the Powerful: Covoting Network Centrality as a Measure of Political Influence
This article introduces centrality in covoting networks as a measure of influence. Based on a simple cueing dynamic, it conceptualizes those lawmakers as most central—and thus as having the greatest signaling influence—who impact the greatest number of colleagues' voting decisions. A formal proof and an agent‐based simulation show that cue‐providers are always more central than followers; hence, we can use real‐world voting data to identify the m…
Measuring online political activity: Introducing the Digital Society Project Dataset
Political engagement is deeply enmeshed with online activity. However, there has been a lack of publicly available cross-country datasets enabling researchers and policymakers to understand how politics and digital space intersect. This paper introduces the Digital Society Project (DSP), which aims to provide systematic, cross-country measurement of political institutions and behavior that manifest online or are affected by online activity. Using…
Pinpointing the Powerful: Covoting Network Centrality as a Measure of Political Influence
This article introduces centrality in covoting networks as a measure of influence. Based on a simple cueing dynamic, it conceptualizes those lawmakers as most central—and thus as having the greatest signaling influence—who impact the greatest number of colleagues' voting decisions. A formal proof and an agent‐based simulation show that cue‐providers are always more central than followers; hence, we can use real‐world voting data to identify the m…
Pinpointing the Powerful: Covoting Network Centrality as a Measure of Political Influence
This article introduces centrality in covoting networks as a measure of influence. Based on a simple cueing dynamic, it conceptualizes those lawmakers as most central—and thus as having the greatest signaling influence—who impact the greatest number of colleagues' voting decisions. A formal proof and an agent‐based simulation show that cue‐providers are always more central than followers; hence, we can use real‐world voting data to identify the m…
Measuring online political activity: Introducing the Digital Society Project Dataset
Political engagement is deeply enmeshed with online activity. However, there has been a lack of publicly available cross-country datasets enabling researchers and policymakers to understand how politics and digital space intersect. This paper introduces the Digital Society Project (DSP), which aims to provide systematic, cross-country measurement of political institutions and behavior that manifest online or are affected by online activity. Using…
Computer Science (2 works) · Law (2 works) · Law (2 works) · Political science (2 works) · Politics (2 works) · Betweenness centrality (1 works) · Centrality (1 works) · Construct (python library (1 works) · Data mining (1 works) · Data science (1 works)