Trading Data

Barbieri, Katherine; Keshk, Omar M. G.; Pollins, Brian M.

doi:10.1177/0738894209343887

Cited by 324 publications

(28 citation statements)

References 18 publications

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“…The dataset consists of trade flows between states for the years 1870-2009 (v3.0) and is publicly available from the Correlates of War website at http://www.correlatesofwar.org/ [22,23]. We focused on the dyadic trade network, where each link represents the trade flow between pairs of states in current U.S. dollars.…”

Section: Fig 6: Sociopatterns Datamentioning

confidence: 99%

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Temporal stability of network partitions

Petri

Expert

2014

Phys. Rev. E

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We present a method to find the best temporal partition at any time-scale and rank the relevance of partitions found at different time-scales. This method is based on random walkers coevolving with the network and as such constitutes a generalization of partition stability to the case of temporal networks. We show that, when applied to a toy model and real datasets, temporal stability uncovers structures that are persistent over meaningful time-scales as well as important isolated events, making it an effective tool to study both abrupt changes and gradual evolution of a network mesoscopic structures. I. INTROIdentifying mesoscopic structures and their relation to the function of a system in biological, social and infrastructural networks is one of the main challenges for complex networks analysis [1]. Until recently, most approaches focused on static network representations, although in truth most systems of interests are inherently dynamical [2]. Recent theoretical progresses and the availability of data inspired a few innovative methods, which mostly revolve around unfolded static representations of a temporal dynamics [3,4], constraints on the community structure of consecutive graph snapshots [5,6] or on global approaches [7][8][9][10].In this Article, we take a different route and tackle the problem of finding and characterising the relevance of community structures at different time-scales by directly incorporating the time-dependence in the method.Inspired by the notion of stability [11], we propose a related measure, temporal stability, which naturally embeds the time-dependence and order of interactions between the constituents of the system. Temporal stability allows not only to compare the goodness of partitions over specific time scales, as its static counterpart, but also to find the best partition at any time and over any time scale. In the following, we briefly review the main ingredients of static stability and introduce their natural extensions to temporal networks. We then present a benchmark model as a proof of principle, and then analyse two real-world datasets, finding pertinent mesoscopic structures at different time-scales. II. TEMPORAL STABILITYLike the map equation [12,13], stability exploits the properties of the stationary distribution random walkers exploring a static network and of long persistent flows on a network. While the map equation relies on finding the most compressed description of a random walker trajectory in terms of its asymptotic distribution, the intuition behind stability is that walkers exploring the network will tend to stay longer in a well defined cluster before escaping to explore the rest of the network. The object of interest is thus the auto-covariance matrix of an unbiased random walk on a network G for a given partition H , i.e. the higher the autocorrelation, the better the description of a system in terms of modules by H . After τ Markov time-steps of exploration of the network by the random walkers, it can be compactly written as:where H is the partiti...

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Section: Fig 6: Sociopatterns Datamentioning

confidence: 99%

“…The second real network we consider is the financial trade network over the period 1870-2009 [22,23]. The original dataset is weighted and directed.…”

Section: B International Trade Networkmentioning

confidence: 99%

Temporal stability of network partitions

Petri

Expert

2014

Phys. Rev. E

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“…With it, we have confirmed that the outcomes correspond to stable configurations in a broad range of the control parameters, in good agreement with the analytical results. Moreover, as a first step towards more realistic cases, we have applied our model to the study of the coalitions during the Cold War using real data obtained from The Correlates of War Project (COW) [55].…”

Section: Discussionmentioning

confidence: 99%

A 3-states magnetic model of binary decisions in sociophysics

Fernández

Korutcheva

Rubia

2016

Physica A: Statistical Mechanics and its Applications

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“…To estimate US influence in the region we use trade data provided by Barbieri, Keshk, and Pollins (2009). We compute total trade as the sum of exports and imports to the US and then divide it by population to get a per capita specification that controls for country size.…”

Section: System-level Variablesmentioning

confidence: 99%

Foreign Policy Change in Latin America: Exploring a Middle-Range Concept

Merke¹,

Reynoso²,

Schenoni

2020

Lat. American Res. Rev.

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This article examines patterns of change and continuity in Latin American foreign policies. It asks two interrelated questions: How can we conceptually and empirically account for foreign policy change? And why do states change their foreign policies in Latin America? To answer these questions, we used the results of a new expert survey on foreign policy preferences in the region between 1980 and 2014. The results we obtained using both linear and nonparametric specifications are very clear and consistent: presidential ideology is what matters the most. Simply put, a change in the ideology of the president produces a change in foreign policy that is almost equivalent in magnitude, all other theoretically relevant factors set to their means. En este artículo, examinamos los patrones de cambio y continuidad en las políticas exteriores de América Latina. Lo hacemos planteando dos preguntas relacionadas: ¿Cómo podemos dar cuenta conceptual y empíricamente del cambio en la política exterior? ¿Por qué los estados en América Latina cambian su política exterior? Para contestar estas preguntas, utilizamos los resultados de una nueva encuesta a expertos sobre las preferencias de política exterior entre 1980 y 2014. Los resultados obtenidos utilizando especificaciones lineales y no-paramétricas son claros y consistentes: la ideología presidencial es lo que más importa. Puesto de manera simple, un cambio en la ideología del presidente produce un cambio en la política exterior que es casi equivalente en su magnitud, ajustando todos los demás factores teóricamente relevantes a sus promedios.

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Trading Data

Cited by 324 publications

References 18 publications

Temporal stability of network partitions

Temporal stability of network partitions

A 3-states magnetic model of binary decisions in sociophysics

Foreign Policy Change in Latin America: Exploring a Middle-Range Concept

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