Ethnic foundations of economic transactions: Mexican and Korean immigrant entrepreneurs in Chicago

Although researchers have chronicled the high rate of entrepreneurship in Chicago among recent Asian immigrants, especially Koreans, few studies examine groups with low rates of self-employment, such as Mexicans. In this article we analyse a unique survey of business owners operating in an immigrant community to identify circumstances that help and hinder entrepreneurship by comparing the experiences of Mexicans, with those of Koreans. We find that Korean and Mexican business owners draw on thinner ethnic social networks and do not reap similar advantages from co-ethnic business dealings. Until Mexicans consolidate a market niche, their opportunities to benefit from ethnic vertical integration will remain limited.     

Navigating a river by its bends: a study on transnational social networks as resources for the transformation of Cambodia

This article explores in what ways first-generation Cambodian French and Cambodian American returnees create and employ the social capital available in their transnational social networks upon their return to Cambodia. The triangular interdependence between the returnees, their overseas immigrant communities and homeland society is taken as a starting point. The central argument is that Cambodian French and Cambodian American returnees build different relationships to Cambodia due to: (1) the influence of their immigrant communities in the countries of resettlement; and (2) the contexts of their exit from Cambodia. Findings in this multi-sited case study bring forward that ideas of return held by the three parties involved, may force re-migrants into transnationalism in both host and home countries. Findings also demonstrate that social capital may be seen as a resource or a restraint in the lives of returnees.     

Vietnamese migrant networks in Taiwan: the curse and boon of social capital

Drawing on ethnographic research on Vietnamese migrant workers in Taiwan, I seek to engage with and contribute to the scholarship on migrant networks and social capital. My research demonstrates that migrant networks are central to the social life of Vietnamese workers, offering not only a vital source of material and psychological support but also a platform where relationships are developed, sustained and contested. It reveals both productive and destructive potentials of social capital in situations where the migrant labourer becomes a disenfranchized underclass and their radius of trust is unsettled by physical displacement. Through this research I highlight the complexities and subjectivities in individual experiences of social capital and offer important insights into the various ways in which social networks are reinterpreted and reconfigured at the intersection of mobility, class and ethnicity within the context of Asia.     

Personality in the context of social networks

There is great interest in environmental effects on the development and evolution of animal personality traits. An important component of an individual's environment is its social environment. However, few studies look beyond dyadic relationships and try to place the personality of individuals in the context of a social network. Social network analysis provides us with many new metrics to characterize the social fine-structure of populations and, therefore, with an opportunity to gain an understanding of the role that different personalities play in groups, communities and populations regarding information or disease transmission or in terms of cooperation and policing of social conflicts. The network position of an individual is largely a consequence of its interactive strategies. However, the network position can also shape an individual's experiences (especially in the case of juveniles) and therefore can influence the way in which it interacts with others in future. Finally, over evolutionary time, the social fine-structure of animal populations (as quantified by social network analysis) can have important consequences for the evolution of personalities-an approach that goes beyond the conventional game-theoretic analyses that assumed random mixing of individuals in populations.     

Effects of deception in social networks

Honesty plays a crucial role in any situation where organisms exchange information or resources. Dishonesty can thus be expected to have damaging effects on social coherence if agents cannot trust the information or goods they receive. However, a distinction is often drawn between prosocial lies (‘white’ lies) and antisocial lying (i.e. deception for personal gain), with the former being considered much less destructive than the latter. We use an agent-based model to show that antisocial lying causes social networks to become increasingly fragmented. Antisocial dishonesty thus places strong constraints on the size and cohesion of social communities, providing a major hurdle that organisms have to overcome (e.g. by evolving counter-deception strategies) in order to evolve large, socially cohesive communities. In contrast, white lies can prove to be beneficial in smoothing the flow of interactions and facilitating a larger, more integrated network. Our results demonstrate that these group-level effects can arise as emergent properties of interactions at the dyadic level. The balance between prosocial and antisocial lies may set constraints on the structure of social networks, and hence the shape of society as a whole.     

Formidable females redux: male social integration into female networks and the value of dynamic multilayer networks

The development of multilayer network techniques is a boon for researchers who wish to understand how different interaction layers might influence each other,and how these in turn might influence group dynamics.Here,we investigate how integration between male and female grooming and aggression interaction networks influences male power trajectories in vervet monkeys Chlorocebus pygerythrus.Our previous analyses of this phenomenon used a monolayer approach,and our aim here is to extend these analyses using a dynamic multilayer approach.To do so,we constructed a temporal series of male and female interaction layers.We then used a multivariate multilevel autoregression model to compare cross-lagged associations between a male's centrality in the female grooming layer and changes in male Elo ratings.Our results confirmed our original findings:changes in male centrality within the female grooming network were weakly but positively tied to changes in their Elo ratings.However,the multilayer network approach offered additional insights into this social process,identifying how changes in a male's centrality cascade through the other network layers.This dynamic view indicates that the changes in Elo ratings are likely to be short-lived,but that male centrality within the female network had a much stronger impact throughout the multilayer network as a whole,especially on reducing intermale aggression(i.e.,aggression directed by males toward other males).We suggest that multilayer social network approaches can take advantage of increased amounts of social data that are more commonly collected these days,using a variety of methods.Such data are inherently multilevel and multilayered,and thus offer the ability to quantify more precisely the dynamics of animal social behaviors.     

Clubs of culture and capital: immigrant and second-generation incorporation in a new destination school

The influx of Latin American immigrants into the US South since the early 1990s has changed the demographic face of the region, particularly among school-aged populations where the rate of growth among Latinos has been the fastest. Despite an emerging literature addressing changing racial and ethnic relations in the New US South, relatively little research has addressed the incorporation of Latino youths within southern schools. Relying on data from a four-year ethnographic and in-depth interview study in one North Carolina town, findings suggest powerful benefits of ethnic-identity based clubs for Latino youths in new immigrant destination schools. While both Latino and African American respondents faced discrimination within their community, Latino students received more formal support at school, which helped shield them from the negative impacts of discrimination.     

Size and socio-economic resources of core discussion networks in the Netherlands: differences by national-origin group and immigrant generation

This study examines differences in the size and socio-economic resources of core discussion networks across national-origin groups and immigrant generation. The analysis is based on the Netherlands Longitudinal Lifecourse Study (2008–10), a nationally representative, large-scale survey of the Dutch population that contains an over-sample of first- and second-generation immigrants from Turkey and Morocco, the two largest non-western immigrant groups in the Netherlands. Results show that Dutch majority members have larger and more resourceful core discussion networks than Turks and Moroccans. Second-generation immigrants from Turkey and Morocco have larger core discussion networks than their foreign-born parents. However, there is no clear evidence for intergenerational increase in resources. The larger and more resourceful core discussion networks of the Dutch are partly attributable to the Dutch being higher educated and employed more often.     

Segmented assimilation and socio-economic integration of Chinese immigrant children in the USA

Research on the new second generation has paid much attention to testing one of the hypotheses posed by segmented assimilation theory – downward assimilation into America's underclass – and has neglected to examine other possible outcomes. In this paper, I address a much understudied pathway – assimilation by way of the ethnic community – based on a case study of Chinese immigrant children in the USA. I show that the children of Chinese immigrants have made inroads into mainstream America through educational achievement, not only because of the strong value their parents put on education but also because resources generated in the ethnic community help actualize that value. The Chinese American experience suggests that, in order to advance to the rank of middle-class Americans, immigrant parents have chosen the ethnic way to facilitate children's social mobility and achieved success. Paradoxically, ‘assimilated’ children have also relied on ethnicity for empowerment to fight negative stereotyping of the racialized other.     

The complex structure of hunter-gatherer social networks

In nature, many different types of complex system form hierarchical, self-similar or fractal-like structures that have evolved to maximize internal efficiency. In this paper, we ask whether hunter-gatherer societies show similar structural properties. We use fractal network theory to analyse the statistical structure of 1189 social groups in 339 hunter-gatherer societies from a published compilation of ethnographies. We show that population structure is indeed self-similar or fractal-like with the number of individuals or groups belonging to each successively higher level of organization exhibiting a constant ratio close to 4. Further, despite the wide ecological, cultural and historical diversity of hunter-gatherer societies, this remarkable self-similarity holds both within and across cultures and continents. We show that the branching ratio is related to density-dependent reproduction in complex environments and hypothesize that the general pattern of hierarchical organization reflects the self-similar properties of the networks and the underlying cohesive and disruptive forces that govern the flow of material resources, genes and non-genetic information within and between social groups. Our results offer insight into the energetics of human sociality and suggest that human social networks self-organize in response to similar optimization principles found behind the formation of many complex systems in nature.     

Contact,trust and social capital in Northern Ireland: a qualitative study of three mixed communities

In a recent paper, Robert Putnam (2007) challenges the contact hypothesis by arguing that ethnic diversity causes people to ‘hunker down’ and essentially withdraw themselves from society. Drawing on qualitative data collected from three mixed communities in Northern Ireland, this paper explores the extent and quality of contact experienced by Protestants and Catholics in their everyday lives. Themes emerging from our data are generally consistent with the contact hypothesis. There is also some support for Putnam's theory that mixed environments can induce ‘hunkering down’ and that inter-group trust may be compromised. However, our data challenge Putnam's argument that these responses are a consequence of ‘anomie’ or ‘social malaise’. Rather, we find that withdrawal from social activity in the neighbourhoods we observed was a calculated response at times of threat, often aimed at protecting existent positive inter-ethnic relations.     

The evolution of generalized reciprocity on social interaction networks

Generalized reciprocity (help anyone, if helped by someone) is a minimal strategy capable of supporting cooperation between unrelated individuals. Its simplicity makes it an attractive model to explain the evolution of reciprocal altruism in animals that lack the information or cognitive skills needed for other types of reciprocity. Yet, generalized reciprocity is anonymous and thus defenseless against exploitation by defectors. Recognizing that animals hardly ever interact randomly, we investigate whether social network structure can mitigate this vulnerability. Our results show that heterogeneous interaction patterns strongly support the evolution of generalized reciprocity. The future probability of being rewarded for an altruistic act is inversely proportional to the average connectivity of the social network when cooperators are rare. Accordingly, sparse networks are conducive to the invasion of reciprocal altruism. Moreover, the evolutionary stability of cooperation is enhanced by a modular network structure. Communities of reciprocal altruists are protected against exploitation, because modularity increases the mean access time, that is, the average number of steps that it takes for a random walk on the network to reach a defector. Sparseness and community structure are characteristic properties of vertebrate social interaction patterns, as illustrated by network data from natural populations ranging from fish to primates.     

Giraffe (Giraffa camelopardalis) social networks in areas of contrasting human activity and lion density

The adaptive value of close social bonds and social networks has been demonstrated in a variety of vertebrate taxa. While the effect of predators on populations is well established, disturbance by humans is increasingly being identified as affecting the behaviour and reproductive success of animals and can have significant impacts on their survival. We used a concurrent analysis of two adjacent giraffe Giraffa camelopardalis populations in Kenya to determine whether human activities and high predation affected their social networks. One study site was a premier tourist destination with a high volume of human activity in the form of tourist traffic and lodge infrastructure, alongside a high density of lions which preferentially prey on giraffe calves; the other was a private wildlife conservancy with minimal human activity and no lion population. Giraffes in both networks showed preferred associations and avoidances of other individuals, which were independent of space use. Bond strength was lower in the population exposed to high levels of human activity and lions, and the network had lower density and clustering, and shorter path lengths, suggesting that it was more fragmented. We suggest that human activity and predator density may influence the patterns of social interactions in giraffes and highlight the importance of understanding the impact of tourism and management on the survival and success of wild animal populations.     

Ethnic diversity,segregation and the social cohesion of neighbourhoods in London

The question of whether and how ethnic diversity affects the social cohesion of communities has become an increasingly prominent and contested topic of academic and political debate. In this paper we focus on a single city: London. As possibly the most ethnically diverse conurbation on the planet, London serves as a particularly suitable test-bed for theories about the effects of ethnic heterogeneity on prosocial attitudes. We find neighbourhood ethnic diversity in London to be positively related to the perceived social cohesion of neighbourhood residents, once the level of economic deprivation is accounted for. Ethnic segregation within neighbourhoods, on the other hand, is associated with lower levels of perceived social cohesion. Both effects are strongly moderated by the age of individual residents: diversity has a positive effect on social cohesion for young people but this effect dissipates in older age groups; the reverse pattern is found for ethnic segregation.     

Social influence networks and understanding of citizenship

Abstract

I propose an analytical model to combine macro-sociological aspects of cultural boundary making with socio-psychological research on social influence networks. This model will help me investigate how the understanding of citizenship of Swiss local politicians is influenced by their interactions with their colleagues in the course of naturalization processes. I argue that the decision-making processes, and debates involving criteria for naturalization, have an impact on individuals’ understandings of citizenship. First, I will invoke Wimmer's (2002 Wimmer , Andreas 2002 Nationalist Exclusion and Ethnic Conflict: Shadows of Modernity , Cambridge : Cambridge University Press [Crossref] , [Google Scholar]) theory on cultural negotiation processes and cultural compromise, to lay the basis for a better understanding of how individual national identities converge. I will then extend my analytical model with theories in social psychology that discuss attitude and norm formations, as well as network theories of social influence, in order to understand why even politicians with strong opinions change their attitudes. The empirical part of the article draws on 180 interviews with Swiss local politicians.     

Population structure and social organization of Southern Elephant Seals, Mirounga leonina (L.)

The population structure and social organization of the Southern Elephant Seal, Mirounga leonina , were studied at South Georgia principally by extensive field census work and determination of age and reproductive history from sections of teeth taken from samples of bulls and cows.
The adult males of the South Georgia population were exploited from 1910 to 1964, mainly at the maximum sustainable yield for this population.
The present data are compared with similar information obtained from studies at South Georgia in 1951 during the exploitation phase and at Macquarie Island in the 1950's where sealing ended in 1919 and the population had stabilized.
Changes have been noted in the time of bull haul out, number of bulls ashore, cow: bull ratio, harem size and the age of harem bulls. These changes can all be attributed to the ending of exploitation. In contrast, the structure of the cow herd has not changed appreciably in the same period.
In addition, differences in growth, body size and population structure still persist between the South Georgia and Macquarie Island populations and it is likely that most of them may reflect differences in food availability at the two locations.     

Neural and social correlates of attitudinal brokerage: using the complete social networks of two entire villages

To avoid polarization and maintain small-worldness in society, people who act as attitudinal brokers are critical. These people maintain social ties with people who have dissimilar and even incompatible attitudes. Based on resting-state functional magnetic resonance imaging (n = 139) and the complete social networks from two Korean villages (n = 1508), we investigated the individual-level neural capacity and social-level structural opportunity for attitudinal brokerage regarding gender role attitudes. First, using a connectome-based predictive model, we successfully identified the brain functional connectivity that predicts attitudinal diversity of respondents'' social network members. Brain regions that contributed most to the prediction included mentalizing regions known to be recruited in reading and understanding others’ belief states. This result was corroborated by leave-one-out cross-validation, fivefold cross-validation and external validation where the brain connectivity identified in one village was used to predict the attitudinal diversity in another independent village. Second, the association between functional connectivity and attitudinal diversity of social network members was contingent on a specific position in a social network, namely, the structural brokerage position where people have ties with two people who are not otherwise connected.     

Proximity data-loggers increase the quantity and quality of social network data

Social network analysis is an ideal quantitative tool for advancing our understanding of complex social behaviour. However, this approach is often limited by the challenges of accurately characterizing social structure and measuring network heterogeneity. Technological advances have facilitated the study of social networks, but to date, all such work has focused on large vertebrates. Here, we provide proof of concept for using proximity data-logging to quantify the frequency of social interactions, construct weighted networks and characterize variation in the social behaviour of a lek-breeding bird, the wire-tailed manakin, Pipra filicauda. Our results highlight how this approach can ameliorate the challenges of social network data collection and analysis by concurrently improving data quality and quantity.