Predicting the trajectory of the evolving international cyber regime: Simulating the growth of a social network

Lehmann, Todd C.; Rolfsen, James A.; Clark, Terry D.

doi:10.1016/j.socnet.2015.01.002

Cited by 5 publications

(6 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…8 The aim of this chapter was to bring the two disciplines closer together by pointing to the toolbox of stochastic network modeling as a bridge. After early work by Robins et al (2005) presenting stochastic network models as simulation engines, their use in the framework of generative social science is indeed increasingly being recognized, as witnessed by the publication of conceptual papers (Snijders & Steglich 2015;Stadtfeld 2018) and an increasing array of applied research using the approach (e.g., Adams & Schaefer 2016;Lakon et al 2015;Lehmann et al 2015;Schaefer et al 2013;Snijders & Kalter 2020;Steglich et al 2010). In particular, the approach has been recently applied in the study of subgroup emergence in social networks (Stadtfeld et al 2020), which we tried to replicate in this chapter.…”

Section: Discussion: Empirically Relevant Simulation Studiesmentioning

confidence: 99%

Stochastic network modeling as generative social science

Steglich¹,

Snijders²

2022

Handbook of Sociological Science

View full text Add to dashboard Cite

show abstract

Section: Discussion: Empirically Relevant Simulation Studiesmentioning

confidence: 99%

Stochastic network modeling as generative social science

Steglich¹,

Snijders²

2022

Handbook of Sociological Science

View full text Add to dashboard Cite

show abstract

“…65. Bianchi, Flache, and Squazzoni 2020;Finn et al 2019;Lehmann, Rolfsen, and Clark 2015;Stadtfeld, Takács, and Vörös 2020;Zhang et al 2015. where the sum in the denominator refers to all possible g +k states of the network, or the options available to i for toggling its network ties. 66 Similarly, the choice probabilities for behavior change are defined as…”

Section: A Computational Model Of Network-behavior Coevolutionmentioning

confidence: 99%

“…65.Bianchi, Flache, and Squazzoni 2020; Finn et al 2019; Lehmann, Rolfsen, and Clark 2015; Stadtfeld, Takács, and Vörös 2020; Zhang et al 2015.…”

mentioning

confidence: 99%

Free Riding, Network Effects, and Burden Sharing in Defense Cooperation Networks

Kinne

Kang

2023

Int Org

View full text Add to dashboard Cite

How do states distribute the burdens of collective defense? This paper develops a network theory of burden sharing. We focus on bilateral defense cooperation agreements (DCAs), which promote cooperation in a variety of defense, military, and security issue areas. Using a computational model, we show that DCA partners’ defense spending depends on the network structure of their agreements. In bilateral terms, DCAs increase defense spending by committing states to defense activities and allowing partners to reciprocally punish free riding. However, as a state's local network of defense partnerships grows more densely connected, with many transitive “friend of a friend” relations, DCAs have the countervailing effect of reducing defense spending. The more deeply integrated states are in bilateral defense networks, the less they spend on defense. We distinguish two potential mechanisms behind this effect—one based on efficiency improvements, the other on free riding. An empirical analysis using multilevel inferential network models points more to efficiency than to free riding. Defense networks reduce defense spending, and they do so by allowing countries to produce security more efficiently.

show abstract

“…Lehmann, et al (2015) and Nye (2014) offer examples of the use of regime theory in the area of cybersecurity, but Mačák is critical, describing reliance on norms as "vacuous" (2016, p. 131) and further evidence of crisis for the Westphalian state. A third view is available from the perspective of complex adaptive systems theory: acknowledging the recency of official recognition of cyberspace as a military domain --for NATO in the 1990s (Woudsma, 2013), and for the US a decade or so later in terms of official doctrine (U.S. Department of Defense, 2011, 2015) --Kessler and Warner (2013 describe what the authors of the Tallinn Manual are doing as uncertainty absorption.…”

Section: The Informational State and Challenges To The Westphalian Symentioning

confidence: 99%

Emanations of the informational state: Cyber operations and the difficulties

Braman

2017

View full text Add to dashboard Cite

>The Tallinn Manual of 2013 and its second edition, the Tallinn Manual 2.0 of 2017, are NATO-funded analyses of how existing international laws of war apply to cybersecurity and cyberwarfare. The difficulties faced by the groups of legal experts who produced these works often involve fundamental aspects of what it is to be a state altogether, challenging the survival of the state as a dominant political form altogether. These developments, in turn, provide significant challenges to the survival of the Westphalian system within which states have been defined for almost 500 years. This article thinks through the Tallinn manuals from the lens of what debates over the appropriate legal treatment of cyber operations under international law tells us about how the state is being experienced and understood in the second decade of the twenty-first century. Comparative analysis of the first and second editions of the Manual shows that just what the informational state is, what it can do, and what it should be allowed to do is becoming less clear, not more, over time.

show abstract

Predicting the trajectory of the evolving international cyber regime: Simulating the growth of a social network

Cited by 5 publications

References 53 publications

Stochastic network modeling as generative social science

Stochastic network modeling as generative social science

Free Riding, Network Effects, and Burden Sharing in Defense Cooperation Networks

Emanations of the informational state: Cyber operations and the difficulties

Contact Info

Product

Resources

About