Networks, Dyads, and the Social Relations Model

Dorff, Cassy; Ward, Michael D.

doi:10.1017/psrm.2013.21

Cited by 27 publications

(15 citation statements)

References 49 publications

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“…This addresses a core concept of network analysis: 'complex interdependence' (see Hoff & Ward, 2004;Dorff & Ward, 2013). On the other hand, I elaborate on the relationship between spatial econometrics and network analysis with my focus on the broader diffusion literature: while there is anecdotal evidence that mediation travels from one crisis to another, my study is the first to provide systematic evidence relying on spatial econometrics empirically and, theoretically, arguments based on network analysis and diffusion.…”

Section: Introductionmentioning

confidence: 98%

The importance of conflict characteristics for the diffusion of international mediation

Böhmelt

2016

Journal of Peace Research

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This article argues that similar conflict characteristics form links between crises, which signal the relevant actors, i.e., the belligerents and the potential mediator(s), that a comparable approach in terms of third-party mediation could be suitable across these disputes -even if the relevant parties are not the same. That is, demand (antagonists) and supply-side actors (mediators) are likely to employ the heuristic of learning from and emulating the mediation behavior in similar crises. The empirical analysis, employing data from the International Crisis Behavior project, shows that comparable patterns in violence, arguably the most visible and salient conflict characteristic, are associated with mediation traveling across crises; other dispute characteristics incorporated into spatial lags are not, however. Hence, particularly as domestic/unit-level (monadic) influences are controlled for, the effect of common exposure is taken into account, and different estimation strategies are used, the results emphasize that there is a genuine diffusion process via common levels of violence in the context of international mediation.

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Section: Introductionmentioning

confidence: 98%

The importance of conflict characteristics for the diffusion of international mediation

Böhmelt

2016

Journal of Peace Research

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“…While inferential network models sometimes encounter difficulties in estimation (Schweinberger 2011), DCA data are highly amenable to network modeling. I have successfully estimated all mainstream inferential network models on DCAD, including exponential random graph models (Robins, Pattison, Kalish, and Lusher 2007), stochastic actor-oriented models (Snijders 1996), and social relations and latent space models (Dorff and Ward 2013; Hoff, Raftery, and Handcock 2002).…”

Section: Collecting and Coding The Dca Datamentioning

confidence: 99%

The Defense Cooperation Agreement Dataset (DCAD)

Kinne

2019

Journal of Conflict Resolution

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The academic study of defense cooperation focuses heavily on formal military alliances. Yet, governments rarely sign new alliances, and the global alliance structure has remained relatively static for decades. By contrast, governments are increasingly active in defense cooperation agreements (DCAs). These bilateral framework treaties institutionalize their signatories’ day-to-day defense relations, facilitating such wide-ranging activities as defense policy coordination, joint research and development, weapons production and arms trade, joint military exercises, training and exchange programs, peacekeeping, and information exchange. Nearly 2,000 DCAs have been signed since 1980. Preliminary evidence suggests that DCAs impact numerous security, military, and defense outcomes and that governments increasingly incorporate DCAs as core elements of their security strategies. This article introduces the new DCA Dataset (DCAD). I provide a brief historical background on DCAs and compare them to other commonly studied forms of defense cooperation. I then explain coding standards and describe the data set in detail. Finally, I illustrate applications of DCAD to militarized interstate disputes and arms trade.

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“…The past decade has also witnessed a surge of conflict and IPE research utilizing network analysis (Hafner-Burton, Kahler, and Montgomery 2009; Maoz 2010; Kinne 2013; Cranmer, Menninga, and Mucha 2015; Dorff and Ward 2013; Dorff 2017; Greenhill 2016; Avant and Westerwinter 2016; Chyzh 2016). In light of this development, the flexibility of the underlying code used to create NewGene means future releases will be able to format data as adjacency matrixes (i.e., a square-matrix where the cells indicate if two nodes share a connection).…”

Section: Simplicity and Flexibility In Data Managementmentioning

confidence: 99%

NewGene: An Introduction for Users

Bennett

Poast

Stam

2019

Journal of Conflict Resolution

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This article introduces NewGene, a complete redesign of the popular EUGene software. Like its predecessor, NewGene is designed to eliminate many of the difficulties commonly involved in constructing large international relations data sets. NewGene is a stand-alone Microsoft Windows and OSx-based program for the construction of annual, monthly, and daily data sets for a variety of decision-making units (e.g., countries, leaders, organizations) used in quantitative studies of international relations. It also provides users the ability to construct units of analysis ranging from monads (e.g., country-year), to dyads (e.g., country1-country2-year), to extradyadic observations called k-ads (e.g., country1-country2-year,. .. ,-countryk-year). NewGene's purpose is to provide a highly flexible platform on which users can construct data sets for international relations research using preloaded data or by incorporating their own data. The software is freely available at http://www.new genesoftware.org/.

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Networks, Dyads, and the Social Relations Model

Cited by 27 publications

References 49 publications

The importance of conflict characteristics for the diffusion of international mediation

The importance of conflict characteristics for the diffusion of international mediation

The Defense Cooperation Agreement Dataset (DCAD)

NewGene: An Introduction for Users

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