Max Gallop
Datos Biográficos
| ID | 232164 |
|---|---|
| NOMBRE | Max Gallop |
| NOMBRES | Max |
| APELLIDO | Gallop |
| FIRMA | GALLOP M |
| AFILIACIONES | University of Strathclyde |
| ORCID | 0000-0001-6352-4301 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 14 |
| TOTAL DE CITAS | 137 |
| TOTAL COMO AUTOR | 14 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2013 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 7 |
Decisive or Distracted
The rise of China as a global power has been a prominent feature in international politics. Simultaneously, the United States has been engaged in ongoing conflicts in the Middle East and South Asia for the past two decades, requiring a significant commitment of resources, focus, and determination. This paper investigates how third-party countries react to the United States’ preoccupation with these conflicts, particularly in terms of diplomatic c…
Spatial Dynamics of Election Violence
How does political violence spread around election times within countries? Although election times are periods possibly most vulnerable to the contagion of violence, we know very little about how election violence spreads spatially. We argue that government-sponsored election violence in one area will increase the levels of election violence inflicted by antisystemic actors in another area with similar political or socioeconomic characteristics. …
Network Competition and Civilian Targeting during Civil Conflict
Building on recent developments in the literature, this article addresses a prominent research question in the study of civil conflict: what explains violence against civilians? We use a novel computational model to investigate the strategic incentives for victimization in a network setting; one that incorporates civilians’ strategic behavior. We argue that conflicts with high network competition—where conflict between any two actors is more like…
Taking dyads seriously
International relations scholarship concerns dyads, yet standard modeling approaches fail to adequately capture the data generating process behind dyadic events and processes. As a result, they suffer from biased coefficients and poorly calibrated standard errors. We show how a regression-based approach, the Additive and Multiplicative Effects (AME) model, can be used to account for the inherent dependencies in dyadic data and glean substantive i…
[W]hat Lies Beneath
Spatial interdependencies commonly drive the spread of violence in civil conflict. To address such interdependence, scholars often use spatial lags to model the diffusion of violence, but this requires an explicit operationalization of the connectivity matrices that represent the spread of conflict. Unfortunately, in many cases, there are multiple competing processes that facilitate the spread of violence making it difficult to identify the true …
Who are in charge, who do i work with, and who are my friends
A network approach to measuring state preferences
State preferences play an important role in international politics. Unfortunately, actually observing and measuring these preferences are impossible. In general, scholars have tried to infer preferences using either UN voting or alliance behavior. The two most notable measures of state preferences that have flowed from this research area are ideal points (Bailey et al., 2017) and S-scores (Signorino & Ritter, 1999). The basis of both these models…
Polarisation, accountability, and interstate conflict
Voters constrain democratic leaders’ foreign policy decisions. Yet, studies show that elite polarisation restricts the choices available to voters, limiting their ability to punish or reward incumbent governments. Building on a comparative elections and accountability perspective, we hypothesise that the governing context moderates the effectiveness of domestic punishment and reward. The rise of elite polarisation in many democracies undermines v…
Networks of Violence
Civil conflicts are complex: multiple warring parties compete for control of territory both against each other and the government. These processes are often dynamic, changing over time and space. In this study, we embrace these complexities through a network-based approach. By considering important relational patterns, such as reciprocity and transitivity, and tying them together with existing theoretical developments in the conflict processes li…
Assessing the Impact of Non-Random Measurement Error on Inference
Many commonly used data sources in the social sciences suffer from non-random measurement error, understood as mis-measurement of a variable that is systematically related to another variable. We argue that studies relying on potentially suspect data should take the threat this poses to inference seriously and address it routinely in a principled manner. In this article, we aid researchers in this task by introducing a sensitivity analysis approa…
More dangerous than dyads
For the bargaining model of war, in the absence of incomplete information and commitment problems, war is irrational. But this finding rests on a simple and rarely discussed assumption, that bargaining is between exactly two participants. When we relax this assumption, in a three-player bargaining game, war is an equilibrium. Thus, a key finding of the bargaining model, that there is always an agreement that all states prefer war, is an artifact …
Cabinet Formation and Portfolio Distribution in European Multiparty Systems
Government formation in multiparty systems is of self-evident substantive importance, and the subject of an enormous theoretical literature. Empirical evaluations of models of government formation tend to separate government formation per se from the distribution of key government pay-offs, such as cabinet portfolios, between members of the resulting government. Models of government formation are necessarily specified ex ante , absent any knowled…
Endogenous networks and international cooperation
The rise of social network analyses in the social sciences has allowed empirical work to better account for interdependencies among actors and among their actions. However, this work has been, to a large extent, descriptive: it has treated these actions as exogenous and immutable. In many cases these networks describe actions like alliance formation or trade - phenomena that are the outcome variables for programs of social scientific research. In…
Antigovernment Networks in Civil Conflicts
In this article, we combine a game‐theoretic treatment of public goods provision in networks with a statistical network analysis to show that fragmented opposition network structures lead to an increase in conflictual actions. Current literature concentrates on the dyadic relationship between the government and potential challengers. We shift the focus toward exploring how network structures affect the strategic behavior of political actors. We d…
Antigovernment Networks in Civil Conflicts
In this article, we combine a game‐theoretic treatment of public goods provision in networks with a statistical network analysis to show that fragmented opposition network structures lead to an increase in conflictual actions. Current literature concentrates on the dyadic relationship between the government and potential challengers. We shift the focus toward exploring how network structures affect the strategic behavior of political actors. We d…
Networks of Violence
Civil conflicts are complex: multiple warring parties compete for control of territory both against each other and the government. These processes are often dynamic, changing over time and space. In this study, we embrace these complexities through a network-based approach. By considering important relational patterns, such as reciprocity and transitivity, and tying them together with existing theoretical developments in the conflict processes li…
Cabinet Formation and Portfolio Distribution in European Multiparty Systems
Government formation in multiparty systems is of self-evident substantive importance, and the subject of an enormous theoretical literature. Empirical evaluations of models of government formation tend to separate government formation per se from the distribution of key government pay-offs, such as cabinet portfolios, between members of the resulting government. Models of government formation are necessarily specified ex ante , absent any knowled…
Assessing the Impact of Non-Random Measurement Error on Inference
Many commonly used data sources in the social sciences suffer from non-random measurement error, understood as mis-measurement of a variable that is systematically related to another variable. We argue that studies relying on potentially suspect data should take the threat this poses to inference seriously and address it routinely in a principled manner. In this article, we aid researchers in this task by introducing a sensitivity analysis approa…
More dangerous than dyads
For the bargaining model of war, in the absence of incomplete information and commitment problems, war is irrational. But this finding rests on a simple and rarely discussed assumption, that bargaining is between exactly two participants. When we relax this assumption, in a three-player bargaining game, war is an equilibrium. Thus, a key finding of the bargaining model, that there is always an agreement that all states prefer war, is an artifact …
Taking dyads seriously
International relations scholarship concerns dyads, yet standard modeling approaches fail to adequately capture the data generating process behind dyadic events and processes. As a result, they suffer from biased coefficients and poorly calibrated standard errors. We show how a regression-based approach, the Additive and Multiplicative Effects (AME) model, can be used to account for the inherent dependencies in dyadic data and glean substantive i…
A network approach to measuring state preferences
State preferences play an important role in international politics. Unfortunately, actually observing and measuring these preferences are impossible. In general, scholars have tried to infer preferences using either UN voting or alliance behavior. The two most notable measures of state preferences that have flowed from this research area are ideal points (Bailey et al., 2017) and S-scores (Signorino & Ritter, 1999). The basis of both these models…
Network Competition and Civilian Targeting during Civil Conflict
Building on recent developments in the literature, this article addresses a prominent research question in the study of civil conflict: what explains violence against civilians? We use a novel computational model to investigate the strategic incentives for victimization in a network setting; one that incorporates civilians’ strategic behavior. We argue that conflicts with high network competition—where conflict between any two actors is more like…
[W]hat Lies Beneath
Spatial interdependencies commonly drive the spread of violence in civil conflict. To address such interdependence, scholars often use spatial lags to model the diffusion of violence, but this requires an explicit operationalization of the connectivity matrices that represent the spread of conflict. Unfortunately, in many cases, there are multiple competing processes that facilitate the spread of violence making it difficult to identify the true …
Endogenous networks and international cooperation
The rise of social network analyses in the social sciences has allowed empirical work to better account for interdependencies among actors and among their actions. However, this work has been, to a large extent, descriptive: it has treated these actions as exogenous and immutable. In many cases these networks describe actions like alliance formation or trade - phenomena that are the outcome variables for programs of social scientific research. In…
Spatial Dynamics of Election Violence
How does political violence spread around election times within countries? Although election times are periods possibly most vulnerable to the contagion of violence, we know very little about how election violence spreads spatially. We argue that government-sponsored election violence in one area will increase the levels of election violence inflicted by antisystemic actors in another area with similar political or socioeconomic characteristics. …
Antigovernment Networks in Civil Conflicts
In this article, we combine a game‐theoretic treatment of public goods provision in networks with a statistical network analysis to show that fragmented opposition network structures lead to an increase in conflictual actions. Current literature concentrates on the dyadic relationship between the government and potential challengers. We shift the focus toward exploring how network structures affect the strategic behavior of political actors. We d…
Cabinet Formation and Portfolio Distribution in European Multiparty Systems
Government formation in multiparty systems is of self-evident substantive importance, and the subject of an enormous theoretical literature. Empirical evaluations of models of government formation tend to separate government formation per se from the distribution of key government pay-offs, such as cabinet portfolios, between members of the resulting government. Models of government formation are necessarily specified ex ante , absent any knowled…
Endogenous networks and international cooperation
The rise of social network analyses in the social sciences has allowed empirical work to better account for interdependencies among actors and among their actions. However, this work has been, to a large extent, descriptive: it has treated these actions as exogenous and immutable. In many cases these networks describe actions like alliance formation or trade - phenomena that are the outcome variables for programs of social scientific research. In…
More dangerous than dyads
For the bargaining model of war, in the absence of incomplete information and commitment problems, war is irrational. But this finding rests on a simple and rarely discussed assumption, that bargaining is between exactly two participants. When we relax this assumption, in a three-player bargaining game, war is an equilibrium. Thus, a key finding of the bargaining model, that there is always an agreement that all states prefer war, is an artifact …
Assessing the Impact of Non-Random Measurement Error on Inference
Many commonly used data sources in the social sciences suffer from non-random measurement error, understood as mis-measurement of a variable that is systematically related to another variable. We argue that studies relying on potentially suspect data should take the threat this poses to inference seriously and address it routinely in a principled manner. In this article, we aid researchers in this task by introducing a sensitivity analysis approa…
Polarisation, accountability, and interstate conflict
Voters constrain democratic leaders’ foreign policy decisions. Yet, studies show that elite polarisation restricts the choices available to voters, limiting their ability to punish or reward incumbent governments. Building on a comparative elections and accountability perspective, we hypothesise that the governing context moderates the effectiveness of domestic punishment and reward. The rise of elite polarisation in many democracies undermines v…
Networks of Violence
Civil conflicts are complex: multiple warring parties compete for control of territory both against each other and the government. These processes are often dynamic, changing over time and space. In this study, we embrace these complexities through a network-based approach. By considering important relational patterns, such as reciprocity and transitivity, and tying them together with existing theoretical developments in the conflict processes li…
Who are in charge, who do i work with, and who are my friends
A network approach to measuring state preferences
State preferences play an important role in international politics. Unfortunately, actually observing and measuring these preferences are impossible. In general, scholars have tried to infer preferences using either UN voting or alliance behavior. The two most notable measures of state preferences that have flowed from this research area are ideal points (Bailey et al., 2017) and S-scores (Signorino & Ritter, 1999). The basis of both these models…
Taking dyads seriously
International relations scholarship concerns dyads, yet standard modeling approaches fail to adequately capture the data generating process behind dyadic events and processes. As a result, they suffer from biased coefficients and poorly calibrated standard errors. We show how a regression-based approach, the Additive and Multiplicative Effects (AME) model, can be used to account for the inherent dependencies in dyadic data and glean substantive i…
[W]hat Lies Beneath
Spatial interdependencies commonly drive the spread of violence in civil conflict. To address such interdependence, scholars often use spatial lags to model the diffusion of violence, but this requires an explicit operationalization of the connectivity matrices that represent the spread of conflict. Unfortunately, in many cases, there are multiple competing processes that facilitate the spread of violence making it difficult to identify the true …
Spatial Dynamics of Election Violence
How does political violence spread around election times within countries? Although election times are periods possibly most vulnerable to the contagion of violence, we know very little about how election violence spreads spatially. We argue that government-sponsored election violence in one area will increase the levels of election violence inflicted by antisystemic actors in another area with similar political or socioeconomic characteristics. …
Network Competition and Civilian Targeting during Civil Conflict
Building on recent developments in the literature, this article addresses a prominent research question in the study of civil conflict: what explains violence against civilians? We use a novel computational model to investigate the strategic incentives for victimization in a network setting; one that incorporates civilians’ strategic behavior. We argue that conflicts with high network competition—where conflict between any two actors is more like…
Decisive or Distracted
The rise of China as a global power has been a prominent feature in international politics. Simultaneously, the United States has been engaged in ongoing conflicts in the Middle East and South Asia for the past two decades, requiring a significant commitment of resources, focus, and determination. This paper investigates how third-party countries react to the United States’ preoccupation with these conflicts, particularly in terms of diplomatic c…
Political science (11 obras) · Economics (10 obras) · Law (10 obras) · Political Conflict and Governance (9 obras) · Computer Science (8 obras) · Law (8 obras) · Sociology (7 obras) · Mathematics (5 obras) · Microeconomics (5 obras) · Politics (5 obras)