Preferences, preference formation and position taking in a Eurozone out: Lessons from the United Kingdom

In the literature on member state position-taking in the eurozone crisis, the debate has mainly centred on whether national preferences are shaped exclusively within the domestic setting or influenced by shared EU-level norms or interaction within EU institutions. This article goes beyond this discussion. Drawing on original data collected by the authors, it uses the UK’s experience to test the claims both of society-centred approaches, including liberal intergovernmentalism, and perspectives that emphasise the importance of shared EU norms or interaction. It argues that while the first overlook the role of institutions as both actors and mediating variables in preference formation, the second have so far focused on the experience of eurozone members, thereby raising the possibility of selection bias. Treating eurozone form as a series of processes rather than a single event, it contests the claim that preference formation is always driven by societal interests, highlights instances where government acts in the absence of or contrary to expressed societal interests, and reveals limitations of the shared norms critique of liberal intergovernmentalism. It shows that the UK government was driven by a scholars concern to protect the UK economy from financial contagion rather than solidarity with its European partners

Liquidity Black Holes: And Why Modern Financial Regulation in Developed Countries is making Short-Term Capital Flows to Developing Countries Even More Volatile

Financial regulation, Liquidity black holes, Investor behaviour

„Volcker/Vickers Hybrid“?: The Liikanen Report and Justifications For Ring Fencing and Separate Legal Entities

Whilst some valid and justified arguments have been put forward in favour of ring fencing, that is, constructing a fire-wall between consumer and investment banks, and that such activities can be achieved without re structuring banks into separate legal entities, the Liikanen Report highlights why there is need for such re structuring. As well as considering the merits of ringfencing and the establishment of separate legal activities and entities, this paper aims to highlight why a suitable model aimed at mitigating risks of contagion can to a large extent, be justified on a cost-benefit analysis basis. Furthermore, the paper ultimately concludes that even though a greater degree of separation of legal entities and activities persist with the model which is referred to as „total separation“, a certain degree of independence between bank activities would also be necessary under ring fencing if its purposes and objectives are to be fulfilled

Everyday the Same Picture: Popularity and Content Diversity

Facebook is flooded by diverse and heterogeneous content, from kittens up to music and news, passing through satirical and funny stories. Each piece of that corpus reflects the heterogeneity of the underlying social background. In the Italian Facebook we have found an interesting case: a page having more than $40K$ followers that every day posts the same picture of a popular Italian singer. In this work, we use such a page as a control to study and model the relationship between content heterogeneity on popularity. In particular, we use that page for a comparative analysis of information consumption patterns with respect to pages posting science and conspiracy news. In total, we analyze about $2M$ likes and $190K$ comments, made by approximately $340K$ and $65K$ users, respectively. We conclude the paper by introducing a model mimicking users selection preferences accounting for the heterogeneity of contents

Landscape metrics and indices : an overview of their use in landscape research

The aim of this overview paper is to analyze the use of various landscape metrics and landscape indices for the characterization of landscape structure and various processes at both landscape and ecosystem level. We analyzed the appearance of the terms landscape metrics/indexes/indices in combination with seven main categories in the field of landscape ecology [1) use/selection and misuse of metrics, 2) biodiversity and habitat analysis; 3) water quality; 4) evaluation of the landscape pattern and its change; 5) urban landscape pattern, road network; 6) aesthetics of landscape; 7) management, planning and monitoring] in the titles, abstracts and/or key words of research papers published in international peer-reviewed scientific journals indexed by the Institute of Science Information (ISI) Web of Science (WoS) from 1994 to October 2008. Most of the landscape metrics and indices are used concerning biodiversity and habitat analysis, and also the evaluation of landscape pattern and its change (up to 25 articles per year). There are only a few articles on the relationships of landscape metrics/indices/indexes to social aspects and landscape perception

Valuing Natural Space and Landscape Fragmentation in Richmond, VA

Hedonic pricing methods and GIS (Geographic Information Systems) were used to evaluate relationships between sale price of single family homes and landscape fragmentation and natural land cover. Spatial regression analyses found that sale prices increase as landscapes become less fragmented and the amount of natural land cover around a home increases. The projected growth in population and employment in the Richmond, Virginia region and subsequent increases in land development and landscape fragmentation presents a challenge to sustaining intact healthy ecosystems in the Richmond region. Spatial regression analyses helped illuminate how land cover patterns influence sale prices and landscape patterns that are economically and ecologically advantageous

Predicting Successful Memes using Network and Community Structure

We investigate the predictability of successful memes using their early spreading patterns in the underlying social networks. We propose and analyze a comprehensive set of features and develop an accurate model to predict future popularity of a meme given its early spreading patterns. Our paper provides the first comprehensive comparison of existing predictive frameworks. We categorize our features into three groups: influence of early adopters, community concentration, and characteristics of adoption time series. We find that features based on community structure are the most powerful predictors of future success. We also find that early popularity of a meme is not a good predictor of its future popularity, contrary to common belief. Our methods outperform other approaches, particularly in the task of detecting very popular or unpopular memes.Comment: 10 pages, 6 figures, 2 tables. Proceedings of 8th AAAI Intl. Conf. on Weblogs and social media (ICWSM 2014