By Zeev Maoz
During this ebook, Zeev Maoz bargains a brand new thought of networked foreign politics. Maoz perspectives the evolution of diplomacy over the past centuries as a collection of interacting, cooperative, and conflicting networks of states. The networks that emerged are the results of nationwide selection strategies approximately forming or breaking ties with different states. States are always excited by their protection and survival in an anarchic international. Their safety matters stem from their exterior surroundings and their earlier conflicts. simply because lots of them can't determine their safeguard through their very own strength, they want allies to stability opposed to a antagonistic foreign surroundings. The alliance offerings made by way of states outline the constitution of safety cooperation networks and spill over into different cooperative networks, together with alternate and associations. Maoz checks his thought via utilizing social networks research (SNA) how to diplomacy. He bargains a singular viewpoint at the research of diplomacy as a method of interrelated networks that co-evolve and engage with each other.
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Extra info for Networks of Nations: The Evolution, Structure, and Impact of International Networks, 1816-2001
Example text
For example, if we want to compare the IGO network in 1913 to the same network in 1950 and 2001, which are exponentially more complex, we need measures that allow such a comparison. These measures help tap important substantive characteristics of nodes, dyads, triads, different groups, and entire networks. Many of these measures are also “mobile” in that they can be meaningfully transformed across levels of analysis. One may think that developing measures of network attributes is a simple task.
Clearly, most states were members of more than one IGO. I do not elaborate on the complexity or structure of these networks at this point. Rather, I use these two networks as the basis of the discussion in the following sections. ╇ The Functional Elements of Social Network Analysis Social network analysis evolved out of graph theory in mathematics. Generally speaking, graph theory studies the structural aspects of relations. Epidemiologists who wanted to study the spread of contagious diseases through contact picked up some of these ideas.
Their results suggest that states in the same cluster in IGO networks that have high levels of prestige-related differences in their network ties are less likely to fight each other. Here, too, SNA is used to measure both individual attributes (prestige measured in terms of degree centrality), dyadic attributes derived from endogenous groups (co-membership in the same structurally equivalent clusters), and endogenous group Â�characteristics (cluster size). The findings shed light on the effect of state clustering on states’ propensity for conflict and add another layer to the myriad studies of direct dyadic IGO ties on conflict (Russett, Oneal, and Davis, 1998; Russett and Oneal, 2001; Pevehouse and Russett, 2006).