The phrase "a measure of centralization" is correct and usable in written English.
It can be used in contexts discussing organizational structure, governance, or data analysis where the degree of centralization is being evaluated or quantified.
Example: "The report provides a measure of centralization within the organization, highlighting how decision-making authority is distributed among various departments."
Alternatives: "a gauge of centralization" or "an indicator of centralization".
Panizza (1999) conducts a cross-sectional analysis on a sample of 55 countries and finds that the central government's share of revenues (used as a measure of fiscal centralization) significantly decreases with the size of countries, per capita income levels, and their degree of ethnic fragmentation (although the latter effect is less robust).
The network centralization parameter, a measure of the distribution of network density [ 60], is 0.0548, indicating that the network is decentralized.
Network centralization refers to the concentration of communication in the network and is analogous to variance (a measure of dispersion) [ 27].
We then explore the composition effect by comparing network measures of centrality, centralization, and density with a multi-variate index of socioeconomic development and measures of human population density from 27 communities across Kenya, Tanzania, Madagascar, Seychelles, and Mauritius.
Detailed sample preparation methods and electrophoresis conditions are presented in a previous study [ 6]. Results are expressed as descriptive measures of centralization and variability.
Geographic Information Systems (GIS) software is used to re-construct likely networks of inter-visibility between defensive settlements and Complex Network Analyses (CNA) are used to characterize network structure, particularly through the measures of centralization and cohesion.
Both weighted and binary measures of centralization declined predictably with development (Table 1, Spearman's ρ = −.065, p<0.001, respectively).
When used in a livelihood analysis, these measures of centrality, density and centralization provide novel information about the relative importance of specific sectors such as fisheries, which along with information on patterns of occupational interrelationships, can be quantitatively examined and compared.
Beyond visual inspection, five particular statistics are used to analyze the resulting networks: a new measure of ideological polarization, betweenness centralization, the number of components as a share of the initial number of concepts, the proportion of concepts still alive, and the concept replacement rate in the histories of all agents.
