Credit allocation based on journal impact factor and coauthorship contribution

Some research institutions demand researchers to distribute the incomes they earn from publishing papers to their researchers and/or co-authors. In this study, we deal with the Impact Factor-based ranking journal as a criteria for the correct distribution of these incomes. We also include the Authorship Credit factor for distribution of the incomes among authors, using the geometric progression of Cantor's theory and the Harmonic Credit Index. Depending on the ranking of the journal, the proposed model develops a proper publication credit allocation among all authors. Moreover, our tool can be deployed in the evaluation of an institution for a funding program, as well as calculating the amounts necessary to incentivize research among personnel.Comment: 9 pages; 3 figures; 2 table

Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields

The aim of this work was to extend the results of Perez et al. (Physica A (2006), 365 (2), 282–288) to the two-dimensional (2D) fractional Brownian field. In particular, we defined Shannon entropy using the wavelet spectrum from which the Hurst exponent is estimated by the regression of the logarithm of the square coefficients over the levels of resolutions. Using the same methodology. we also defined two other entropies in 2D: Tsallis and the Rényi entropies. A simulation study was performed for showing the ability of the method to characterize 2D (in this case, α = 2) self-similar processes

Personality and the Consistency of Risk Taking Behavior: Experimental Evidence

Researchers have found that an individual’s risk attitude is not stable across elicitation methods. Results reported by Deck et al. (2009) suggest that personality may help explain the apparent inconsistency, offering support to Borghans et al.’s (2008) argument that economists should consider a multi-domain approach to measuring risk attitudes. This paper uses laboratory methods to compare risk attitudes as measured by the Holt and Laury (2002) procedure under two different frames. We find that, as in Deck et al. (2009), one’s willingness to take financial risks (as measured by Weber et al. 2002) significantly affects behavior; however the effect is significantly greater when the task is framed as a financial decision. This paper also asks whether personality can explain the well documented behavioral difference between first price and Dutch auctions. While one’s gambling attitude (as measured by Weber et al. 2002) affects bidding behavior, it does not do so differentially between auction formats.Risk Attitudes, Personality, Auctions, Framing Effects, Laboratory Experiments

The Evolution of the World Trade Web

This paper empirically studies the statistical properties of the world trade web (WTW) and its evolution over time using a weighted network approach. Previous works have characterized the WTW as a binary network, where countries play the role of nodes and a link is in place between any two countries if there exists a sufficiently large amount of trade between them. On the contrary, we exploit the heterogeneity of trade relationships and weight each existing link by some measure of the actual amount of trade carried through that link. Our results indicate that the WTW is a strongly symmetric network, where the majority of trade relationships (and their intensities) are reciprocated. We also find that: (i) the majority of countries hold many weak trade relationships and coexist with a few countries holding less but more intense export relationships; (ii) countries that hold more intense trade relationships preferably trade with poorly-connected countries, but are typically more clustered; (iii) rich countries tend to form more intense trade links and to be more clustered. Furthermore, all structural properties of the WTW display a remarkable stationarity across years. From a methodological point of view, our paper suggests that a weighted network approach is able to provide more precise conclusions than a binary analysis. Many implications that are indeed valid in binary networks are reversed in our weighted analysis. Finally, we show that all our main results are robust to alternative weighting procedures.Networks; World trade web; international trade; weighted network analysis; integration; trade openness; globalization

Using a complex weighted-network approach to assess the evolution of international economic integration: The cases of East Asia and Latin America

Over the past four decades the High Performing Asian Economies (HPAE) have followed a development strategy based on the exposure of their local markets to the presence of foreign competition and on an outward oriented production. In contrast, Latin American Economies (LATAM) began taking steps in this direction only in the late eighties and early nineties, but before this period these countries were more focused on the implementation of import substitution policies. These divergent paths have led to sharply different growth performance in the two regions. Yet, standard trade openness indicators fall short of portraying the peculiarity of the Asian experience, and to explain why other emerging markets with similar characteristics have been less successful over the last 25 years. We offer an alternative perspective on the issue by exploiting recently-developed indicators based on weighted-network analysis. We study the evolution of the core-periphery structure of the World Trade Network (WTN) and, more specifically, the evolution of the HPAE and LATAM countries within this network. Using random-walk betweenness centrality measure, the paper shows that the HPAE countries are more integrated into the WTN and many of them, which were in the periphery in the eighties, are now in the core of the network. In contrast, the LATAM economies, at best, have maintained their position over the 1980 - 2005 period, and in some cases have fallen in the ranking of centrality.Networks; World trade web; international trade; weighted network analysis; integration; trade openness; LATAM vs. HPAE countries

Evolution of the World Trade Web. A Weighted-Network Analysis. 49.ma Riunione Scientifica Annuale. Società Italiana degli Economisti .

This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time. We show that most countries are characterized by weak trade links; yet, there exists a group of countries featuring a large number of strong relationships, thus hinting to a core-periphery structure. Also, better-connected countries tend to trade with poorly-connected ones, but are also involved in highly-interconnected trade clusters. Furthermore, rich countries display more intense trade links and are more clustered. Finally, all network properties are remarkably stable across the years and do not depend on the weighting procedure.Networks;World trade web;international trade;weighted network analysis;integration;trade openness;globalization;

International Trade and Financial Integration: A Weighted Network Analysis

In this paper we compare the patterns of trade and financial integration by exploit- ing network analysis. Our results show that, by combining binary and weighted network analysis, it is possible to deliver more precise and thorough insights on the topological structure and properties of the international trade and financial net- works (ITN and IFN). We find that the ITN is more densely connected than the IFN and that the degree of international financial integration varies with asset type. Our results also indicate that richer countries are better linked and form groups of tightly interconnected nodes. This can be seen as a sign of the persistent relevance of local relations. Yet, the growing importance of global links is testified by the disassortative feature of both the ITN and the IFN: poorly connected nodes tend to connect to central ones and use them as hubs to access the rest of the network.International Trade, International Financial Flows, Globalization, Complex Weighted Networks, Dynamics.

Using Complex Network Analysis to Assess the Evolution of International Economic Integration: The cases of East Asia and Latin America

Over the past four decades the High Performing Asian Economies (HPAE) have followed a development strategy based on the exposure of their local markets to the presence of foreign competition and on an outward oriented production. In contrast, Latin American Economies (LATAM) began taking steps in this direction only in the late eighties and early nineties, but before this period these countries were more focused in the implementation of import substitution policies. These divergent paths have led to sharply different growth performance in the two regions. Yet, standard trade openness indicators fall short of portraying the peculiarity of the Asian experience, and to explain why other emerging markets with similar characteristics have been less successful over the last 25 years. This paper offers an alternative perspective on the issue by exploiting recently-developed indicators based on weighted network analysis. This allows us to investigate the whole structure of international trade relationships and to determine both the position of HPAE countries in the network and its evolution over time. We show that HPAE countries are more integrated into the world economy, as they have moved -over the past 25 years- from the periphery of the network towards its core. In contrast, the LATAM region seems to be loosing presence within the network or, at best, its integration process has remained stagnant.International trade, High Performing Asian Economies, Latin American Economies, Development, Growth, Networks, Complex Weighted Networks, World Trade Web, Centrality