Ethnic and gender diversity,process and performance in groups of business students in Sweden

This article investigates the complex interrelation between ethnic and gender diversity, process and performance among groups of business students. The article is based on an empirical survey of business students working on a complex assignment in groups of two to five in a small Swedish university. The results indicate that gender diversity leads to positive group outcomes, while ethnic diversity appears to create negative group outcomes. Intervening process variables, such as group communication, conflict and effectiveness in problem solving, were not found to be influenced by diversity, or to influence group outcomes. While the non‐influence of intervening variables can probably be explained by methodological difficulties, the negative outcome for ethnic diversity indicates a need to help students better manage ethnic diversity in order to reap its benefits.     

Network diversity,contact diversity,and status attainment

We propose that diversity in social relations measured by network diversity and cross-race/cross-gender contacts affords job seekers higher contact status that in turn brings better status attainment outcomes. Controlling for traditional strength of tie measures and other confounders, the empirical study confirms that (1) network diversity in race and gender are significantly associated with actual utilization of cross-race/cross-gender contacts in job search, (2) use of cross-race/cross-gender contacts is significantly related to higher contact status for nonwhite and female job seekers, but (3) contact status (activated social capital) partially provides jobs of higher SEI scores for white job seekers. Similarly, male job seekers obtain better jobs through female contacts, but the same does not apply to female job seekers. These findings show relative return deficits of social capital experienced by racial minorities and females even when they exert extra effort to obtain heterogeneous social relations and contacts.     

Knowledge network dissemination in a family-firm sector

The literature on network often assumes that all firms in the net can benefit from knowledge externalities often reserved to the network area. Based on network analysis (historical and social) we will attempt to confirm the idea that social proximity plays a crucial role, especially in Italian clusters of small firms. We demonstrate that local knowledge relations are confined in the investigated area due to the high socio-familial substrate, the firm's capacity to recognise opportunities and co-ordination ability. The empirical analysis is based on the influence of both the characteristics of each entrepreneur and of each unit of innovation, and of the absorptive capacity (cognitive proximity) and social capital on relationships.     

Federal dissemination of child abuse and neglect information

This review examines the recent history of efforts at the federal level to disseminate child abuse and neglect information and describes current challenges to these endeavors. Two dissemination models are defined as are the problems associated with the adaptation of those models. Finally, general principles for transmitting information and the processes involved in such transmission are reviewed.     

Risk taking and information aggregation in groups

We report a controlled laboratory experiment examining risk-taking and information aggregation in groups facing a common risk. The experiment allows us to examine how subjects respond to new information, in the form of both privately observed signals and signals reported from others. We find that a considerable number of subjects exhibit ‘reverse confirmation bias’: they place less weight on information from others that agrees with their private signal and more weight on conflicting information. We also find a striking degree of consensus when subjects make decisions on behalf of the group under a random dictatorship procedure. Reverse confirmation bias and the incidence of consensus are considerably reduced when group members can share signals but not communicate.     

Imputation of attributes in networked data using Bayesian autocorrelation regression models

Misspecification in network autocorrelation models poses a challenge for parameter estimation, which is amplified by missing data. Model misspecification has been a focus of recent work in the statistics literature and new robust procedures have been developed, in particular cutting feedback. This paper shows how this helps in a misspecified network autocorrelation model. Where model misspecification is mild and the traits are fully observed, Bayesian imputation is routine. In settings with high missingness, Bayesian inference can fail, but a closely related cut model is robust. We illustrate this on a data set of graduate students using a Facebook-like messaging app.     

Altruism and information

Experimental literature has accumulated evidence on the association of social identity to a higher or lower level of prosocial behavior. There is also evidence that donations are affected by the mere provision of information about the recipients, whatever its nature or content. In this paper, we present a unified experimental framework (within-subjects) to analyze the impact of different information sets (that concern social class, political orientation or gender) on the level of giving; our experimental design allows us to reveal the effect of three information sets, with respect to the baseline treatment of no information, and separately from the effect of the informational content. A between-subjects replication in M-Turk provides results in the same direction, although the treatment effects are much weaker. These results could be relevant to any design intended to measure the impact on altruism of different dimensions of social identity.     

Political information use on WeChat and political discussion in China: toward a networked political discussion model

This study was conducted to test the relationships between WeChat (a popular Chinese mobile SNS) and a number of variables including the structural features of users’ networks, the use of political information on WeChat, political discussions, and political attitudes. The results of this study showed that the use of political information by WeChat users on this platform affected their political discussions and political attitudes. Furthermore, both positive and negative WeChat political discussions mediated the effects of the use of political information on political attitudes. Additionally, the connectedness of networks significantly lowered the likelihood of individual users to comment negatively on politics. These findings indicate that WeChat users with diverse social networks are more likely to engage in positive political discussions than in negative political discussions. The theoretical and practical implications of this study are discussed.     

Networks and collective action

This paper proposes a new measure for a group's ability to lead society to adopt their standard of behavior, which in particular takes account of the time the group takes to convince the whole society to adopt their position. This notion of a group's power to initiate action is computed as the reciprocal of the resistance against it, which is in turn given by the expected absorption time of a related finite state partial Markov chain that captures the social dynamics. The measure is applicable and meaningful in a variety of models where interaction between agents is formalized through (weighted) binary relations. Using Percolation Theory, it is shown that the group power is monotonic as a function of groups of agents. We also explain the differences between our measure and those discussed in the literature on Graph Theory, and illustrate all these concerns by a thorough analysis of two particular cases: the Wolfe Primate Data and the 11S hijackers’ network.     

Mixing patterns between age groups in social networks

We present a method for estimating transmission matrices that describe the mixing and the probability of infection between age groups. Transmission matrices can be used to estimate age-dependent forces of infection in age-structured, compartmental models for the study of infectious diseases. We analyze the social network generated by the synthetic population of Portland and extract mixing patterns. Our results show that the mixing within the population consists of two groups, children and adults. Children interact most frequently with other children close to their own age, while adults interact with a wider range of age groups and the durations of typical adult contacts are shorter than typical contacts between children. Furthermore, the transmission matrix shows that children are more likely to acquire infection than adults.     

Weight matrices for social influence analysis: An investigation of measurement errors and their effect on model identification and estimation quality

Weight matrices, such as used in network autocorrelation models, are useful to investigate social influence processes. The objective of this paper is to investigate a key topic that has received relatively little attention in previous research, namely the issues that arise when observational limitations lead to measurement errors in these weight matrices. Measurement errors are investigated from two perspectives: when relevant ties are omitted, and when irrelevant ties are erroneously included as part of the matrix. The paper first shows analytically that these two situations result in biased estimates. Next, a simulation experiment provides evidence of the effect of erroneously coding the weight matrix on model performance and the ability of a network autocorrelation test to identify social influence effects. The results suggest that depending on the level of autocorrelation and the topology attributes of the underlying matrix, there is a window of opportunity to identify and model social influence processes even in situations where the ties in a matrix cannot be accurately observed.     

Collective action and network change

Network models of collective action commonly assume fixed social networks in which ties influence participation through social rewards. This implies that only certain ties are beneficial from the view of individual actors. Accordingly, in this study we allow that actors strategically revise their relations. Moreover, in our model actors also take into account possible network consequences in their participation choices. To handle the interrelatedness of networks and participation, we introduce new equilibrium concepts. Our equilibrium analysis suggests that structures that tend to segregate contributors from free riders are stable, but costless network change only promotes all-or-nothing participation and complete networks.     

Network structure and team performance: The case of English Premier League soccer teams

A defining feature of a work group is how its individual members interact. Building on a dataset of 283,259 passes between professional soccer players, this study applies mixed-effects modeling to 76 repeated observations of the interaction networks and performance of 23 soccer teams. Controlling for unobserved characteristics, such as the quality of the teams, the study confirms previous findings with panel data: networks characterized by high intensity (controlling for interaction opportunities) and low centralization are indeed associated with better team performance.     

Property rights, collective sales and government intervention: averting a tragedy of the anticommons

In response to the need to cater for the requirements of a larger future population, the Urban Redevelopment Authority of Singapore released development guide plans, which have provided for higher development intensity to residential land in various parts of the island. One of the impacts is that many property owners in Singapore have banded together to capitalize on the “marriage value” of the en bloc site to reap big windfalls as compared to individual sales. But there were minority owners who objected to the sale. The Land Titles (Strata) (Amendment) Act 1999 was passed on 11 October 1999 to facilitate such en bloc sales as these will release prime land for higher density redevelopment to provide more quality private housing in land-scarce Singapore. This paper shows how property rights and property ownership could have led to a tragedy of the anticommons and how government intervention through legislation has averted such a tragedy. Whilst the Land Titles (Strata) (Amendment) Act 1999 has been successful in facilitating en bloc sales resulting in optimization of scarce land resources, it has raised controversial issues such as majority rule versus minority protection and the attenuation of property rights. The authors conclude that in land-scarce Singapore, public good, in that more land will be made available for private housing for the majority, should take precedence.     

Unofficial Hanoians: Migration,Native Place and Urban Citizenship in Vietnam

Independent migration to Hanoi has surged dramatically over two decades of deepening market reforms, blurring the distinctions between urban and rural lives once maintained so carefully by the Communist Party of Vietnam. However many urban migrants face ongoing legal and social obstacles in Hanoi, tied to an outmoded system of household registration (ho khau), and widespread anxieties about the ‘floating population’ threatening to overwhelm the city. This article shows how one group of ‘unofficial Hanoians’—migrant motorbike taxi drivers from Nam Dinh Province—navigate a system of differentiated urban citizenship by forging communities and mutual assistance networks around shared ‘native places’ (que huong) to find employment, housing and social support in the city. It also reveals how Hanoi's marginal urban spaces—home to entrenched migrant communities of ambiguous legality—emerge as key arenas in the negotiation of Vietnamese citizenship, forcing national leaders, city officials, landlords and residents to grapple with questions of free movement and the rights of rural citizens to transgress urban space.     

Power,capital, and immigration detention rights: making networked markets in global detention governance at UNHCR

With the expanded use of immigration detention and migration management practices worldwide, detention has emerged as a key issue for United Nations and international human rights institutions. A growing international rights movement seeks to make the practice fairer and more humane, leading to the dominance of a mainstream detention rights agenda and counter‐hegemonic system of governance. Drawing on ethnographic fieldwork conducted in Geneva and elsewhere, this article examines the capital, knowledge, and technological expertise that went into the construction of UNHCR's Global Detention Strategy. I highlight the rational calculation undergirding this global detention rights agenda, including the transnational policy networks of NGOs, INGOs, and academics that facilitate the movement's moral authority and capitalist growth. Their practices have become powerful neoliberal development tools, which give veracity to human rights agendas and attract oppositionally‐figured abolitionist praxis.     

Disability,social groups,and political citizenship

The problem raised in this article is whether disabled people can and should be considered as a social group with respect to political representation. The question is first discussed on the basis of theories of social and status groups. Next, the article examines how the topic is reflected empirically at the local political level in Norway, expressed by party political leaders and elected disabled representatives. The authors suggest that disabled people can and should be considered as a social group in relation to political representation. Not doing so, they argue, will in effect delay the process towards full recognition and active political citizenship.     

When frames align: The interplay between PR,news media,and the public in times of crisis

This study focuses on the frame-building process of organizational-crisis situations in the interplay between the domains public relations (PR), news media, and the public. The purpose of the study is to investigate whether the crisis frames of the domains align over time. To empirically analyze frame alignment, an automated semantic-network analysis is introduced to compare implicit framing among the domains. By examining press releases, news articles, and social-media manifestations of four Dutch crisis cases, the dynamic character of crisis framing became apparent. The study documents the rise of crisis-frame alignment among PR, news media, and the public over time. After frame alignment the domains’ discourses move away from one another resulting in more variation between frames. This pattern of alignment is considered to be crisis specific as a necessity to collectively make sense of a complex crisis situation. The collective sensemaking might be crucial to solve organizational crises and to avoid uncontrollable crisis magnification.     

Activist e-mail action alerts and identification: Rhetorical relationship building strategies in collective action

This study analyzed 111 e-mail action alerts from three activist groups on opposing ends of the political and religious ideological continuum for examples of Burke's three identification strategies. Findings show the organizations employed identification by antithesis with the greatest frequency, indicating that activist groups most often take a reactionary or confrontational approach to establishing identification with publics.     

Network public goods with asymmetric information about cooperation preferences and network degree

We propose a game theoretical model of one-shot network public goods formalizing the ‘closure argument’ that cooperation is more frequent in denser groups or networks. Equilibrium analyses show that (i) an ‘inefficiency problem’ exists: players all preferring mutual cooperation need not all cooperate; (ii) in dyads, groups and networks with degree independence, first order stochastic dominance shifts of the distribution of cooperation preferences or the degree distribution (weakly) increases cooperation, and (iii) the latter result does not hold for networks with degree dependence. Hence the closure argument always holds in networks satisfying degree independence but not in other networks.