Methodological nationalism is understood as the assumption that the nation/state/society is the natural social and political form of the modern world. We distinguish three modes of methodological nationalism that have characterized mainstream social science, and then show how these have influenced research on migration. We discover parallels between nationalist thinking and the conceptualization of migration in postwar social sciences. In a historical tour d'horizon, we show that this mainstream concept has developed in close interaction with nation-state building processes in the West and the role that immigration and integration policies have played within them. The shift towards a study of 'transnational communities' -the last phase in this process -was more a consequence of an epistemic move away from methodological nationalism than of the appearance of new objects of observation. The article concludes by recommending new concepts for analysis that, on the one hand, are not coloured by methodological nationalism and, on the other hand, go beyond the fluidism of much contemporary social theory.After the first flurry of confusion about the nature and extent of contemporary processes of globalization, social scientists moved beyond rhetorical generalities about the decline of the nation-state and began to examine the ways in which nation-states are currently being reconfigured rather than demolished. That nation-states and nationalism are compatible with globalization was made all too obvious. We witnessed the flouring of nationalism and the restructuring of a whole range of new states in Eastern Europe along national lines in the midst of growing global interconnections. The concomitance of these processes provides us with an intellectual opening to think about the limitations of our conceptual apparatus. It has become easier to understand that it is because we have come to take for granted a world divided into discrete and autonomous nation-states that we see nation-state building and global interconnections as contradictory. The next step is to analyse how the concept of the nation-state has and still does influence past and current thinking in the social sciences, including our thinking about transnational migration.It is our aim in this article to move in this direction by exploring the intellectual potential of two hypotheses. We demonstrate that nation-state building processes have fundamentally shaped the ways immigration has been perceived and received. These perceptions have in turn influenced, though not completely determined, social science

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Much of the quantitative literature on civil wars and ethnic conflict ignores the role of the state or treats it as a mere arena for political competition among ethnic groups. Other studies analyze how the state grants or withholds minority rights and faces ethnic protest and rebellion accordingly, while largely overlooking the ethnic power configurations at the state's center. Drawing on a new data set on Ethnic Power Relations (EPR) that identifies all politically relevant ethnic groups and their access to central state power around the world from 1946 through 2005, the authors analyze outbreaks of armed conflict as the result of competing ethnonationalist claims to state power. The findings indicate that representatives of ethnic groups are more likely to initiate conflict with the government (1) the more excluded from state power they are, especially if they have recently lost power, (2) the higher their mobilizational capacity, and (3) the more they have experienced conflict in the past.

This paper presents a comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images. It is based on results from the "MICCAI 2007 Grand Challenge" workshop, where 16 teams evaluated their algorithms on a common database. A collection of 20 clinical images with reference segmentations was provided to train and tune algorithms in advance. Participants were also allowed to use additional proprietary training data for that purpose. All teams then had to apply their methods to 10 test datasets and submit the obtained results. Employed algorithms include statistical shape models, atlas registration, level-sets, graph-cuts and rule-based systems. All results were compared to reference segmentations five error measures that highlight different aspects of segmentation accuracy. All measures were combined according to a specific scoring system relating the obtained values to human expert variability. In general, interactive methods reached higher average scores than automatic approaches and featured a better consistency of segmentation quality. However, the best automatic methods (mainly based on statistical shape models with some additional free deformation) could compete well on the majority of test images. The study provides an insight in performance of different segmentation approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques.

Quantitative scholarship on civil wars has long debated whether ethnic diversity breeds armed conflict. We go beyond this debate and show that highly diverse societies are not more conflict prone. Rather, states characterized by certain ethnopolitical configurations of power are more likely to experience violent conflict. First, armed rebellions are more likely to challenge states that exclude large portions of the population on the basis of ethnic background. Second, when a large number of competing elites share power in a segmented state, the risk of violent infighting increases. Third, incohesive states with a short history of direct rule are more likely to experience secessionist conflicts. We test these hypotheses for all independent states since 1945 using the new Ethnic Power Relations (EPR) data set. Cross-national analysis demonstrates that ethnic politics is as powerful and robust in predicting civil wars as is a country's level of economic development. Using multinomial logit regression, we show that rebellion, infighting, and secession result from high degrees of exclusion, segmentation, and incohesion, respectively. More diverse states, on the other hand, are not more likely to suffer from violent conflict.

a b s t r a c tScholars have long recognized the potential of Internet-based communication technologies for improving network research-potential that, to date, remains largely underexploited. In the first half of this paper, we introduce a new public dataset based on manipulations and embellishments of a popular social network site, Facebook.com. We emphasize five distinctive features of this dataset and highlight its advantages and limitations vis-à-vis other kinds of network data. In the second half of this paper, we present descriptive findings from our first wave of data. Subgroups defined by gender, race/ethnicity, and socioeconomic status are characterized by distinct network behaviors, and students sharing social relationships as well as demographic traits tend to share a significant number of cultural preferences. These findings exemplify the scientific and pedagogical potential of this new network resource and provide a starting point for future analyses.

The article examines methodological nationalism, a conceptual tendency that was central to the development of the social sciences and undermined more than a century of migration studies. Methodological nationalism is the naturalization of the global regime of nation‐states by the social sciences. Transnational studies, we argue, including the study of transnational migration, is linked to periods of intense globalization such as the turn of the twenty‐first century. Yet transnational studies have their own contradictions that may reintroduce methodological nationalism in other guises. In studying migration, the challenge is to avoid both extreme fluidism and the bounds of nationalist thought.

A notable feature of U.S. social networks is their high degree of racial homogeneity, which is often attributed to racial homophily--the preference for associating with individuals of the same racial background. The authors unpack racial homogeneity using a theoretical framework that distinguishes between various tie formation mechanisms and their effects on the racial composition of networks, exponential random graph modeling that can disentangle these mechanisms empirically, and a rich new data set based on the Facebook pages of a cohort of college students. They first show that racial homogeneity results not only from racial homophily proper but also from homophily among coethnics of the same racial background and from balancing mechanisms such as the tendency to reciprocate friendships or to befriend the friends of friends, which both amplify the homogeneity effects of homophily. Then, they put the importance of racial homophily further into perspective by comparing its effects to those of other mechanisms of tie formation. Balancing, propinquity based on coresidence, and homophily regarding nonracial categories (e.g., students from "elite" backgrounds or those from particular states) all influence the tie formation process more than does racial homophily.