This paper analyses the statistical distribution of war size. We find strong support for a Pareto-type distribution (power law) using data from different sources (COW and UCDP) and periods. A power law describes accurately the size distribution of all wars, but also the distribution of the sample of wars in any given period. The estimated Pareto exponent is always less than 1, indicating that the distribution is heavy-tailed; this means that the war average loss is controlled by the largest conflicts. Furthermore, the study of battle deaths’growth rates reveals a clear decreasing pattern; the growth of deaths declines faster the greater the number of initial deaths
Casualty counts are often controversial, and thorough research can only go so far in resolving such ...
Catastrophic events, such as wars and terrorist attacks, big tornadoes and hurricanes, huge earthqu...
Power-law relationships, relating events with magnitudes to their frequency, are common in natural d...
This paper analyses the statistical distribution of war size. We find strong support for a Pareto-ty...
This paper analyses the statistical distribution of war sizes. Using the method recently proposed by...
In this thesis we statistically analyze violent conflicts. The main focus lies on the risk of occurr...
For the past 70 years, there has been a downward trend in the size of wars, but the idea of an endur...
Are there physical laws, rather than conventions like diplomacy, that determine when war will break ...
It is still unknown whether there is some deep structure to modern wars and terrorist campaigns that...
We study the statistics of human deaths from wars and similar man-made conflicts as well as natural ...
We provide strong evidence of a post-1950 decline in conventional war. A survey of the qualitative l...
It is still unknown whether there is some deep structure to modern wars and terrorist campaigns that...
Countries have better abilities and stronger incentives to engage in militarized conflicts the large...
A recent article using the new Correlates of War (COW) data on the distribution of interstate, intra...
Abstract War is an extreme form of collective human behaviour characterized by coordinated violence....
Casualty counts are often controversial, and thorough research can only go so far in resolving such ...
Catastrophic events, such as wars and terrorist attacks, big tornadoes and hurricanes, huge earthqu...
Power-law relationships, relating events with magnitudes to their frequency, are common in natural d...
This paper analyses the statistical distribution of war size. We find strong support for a Pareto-ty...
This paper analyses the statistical distribution of war sizes. Using the method recently proposed by...
In this thesis we statistically analyze violent conflicts. The main focus lies on the risk of occurr...
For the past 70 years, there has been a downward trend in the size of wars, but the idea of an endur...
Are there physical laws, rather than conventions like diplomacy, that determine when war will break ...
It is still unknown whether there is some deep structure to modern wars and terrorist campaigns that...
We study the statistics of human deaths from wars and similar man-made conflicts as well as natural ...
We provide strong evidence of a post-1950 decline in conventional war. A survey of the qualitative l...
It is still unknown whether there is some deep structure to modern wars and terrorist campaigns that...
Countries have better abilities and stronger incentives to engage in militarized conflicts the large...
A recent article using the new Correlates of War (COW) data on the distribution of interstate, intra...
Abstract War is an extreme form of collective human behaviour characterized by coordinated violence....
Casualty counts are often controversial, and thorough research can only go so far in resolving such ...
Catastrophic events, such as wars and terrorist attacks, big tornadoes and hurricanes, huge earthqu...
Power-law relationships, relating events with magnitudes to their frequency, are common in natural d...