A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes

The co-authorship among members of a research group commonly can be represented by a (co-authorship) graph in which nodes represent the researchers that make up of this group and edges represent the connections between two agents (i.e., the co-authorship between these agents). Current study measures the reliability of networks by taking into consideration unreliable nodes (researchers) and perfectly reliable edges (co-authorship between two researchers). A Bayesian approach for the reliability of a network represented by the co-authorship among members of a real research group is proposed, obtaining Bayesian estimates and credibility intervals for the individual components (nodes or researchers) and the network. Weakly informative and non-informative prior distributions are assumed for those components and the posterior summaries are obtained by Monte Carlo-Markov Chain methods. The results show the relevance of an inferential approach for the reliability of scientific co-authorship network. The results also demonstrate that the contribution of each researcher is highly relevant for the maintenance of a research group. In addition, the Bayesian methodology was a feasible and easy computational implementation.     

Producing Postman Pat: The popular cultural construction of idyllic rurality

This paper concerns the popular cultural representation of English rurality. It focuses upon Postman Pat, a popular cultural phenomenon which has come to be routinely cited as exemplary and iconic of contemporary imaginings of the English countryside as idyllic. The idea that Anglocentric popular culture (re)produces this sort of ‘rural idyll’ – and that these idylls are particularly laden with cultural and ideological baggage – has been well rehearsed. However, this paper considers a question which has too often been overlooked or taken for granted: how, exactly – and I mean literally, actually, in detail, in practice – does this sort of idyllic rurality come to be constructed? Through conversations with two key figures in the creation of Postman Pat, the paper begins to develop an understanding of some of the everyday, banal, nitty gritty practices, decisions and encounters which must be understood as fundamentally part of the production of (this) ‘rural idyll’.     

The backbone of bipartite projections: Inferring relationships from co-authorship,co-sponsorship,co-attendance and other co-behaviors

The analysis and visualization of weighted networks pose many challenges, which have led to the development of techniques for extracting the network's backbone, a subgraph composed of only the most significant edges. Weighted edges are particularly common in bipartite projections (e.g. networks of co-authorship, co-attendance, co-sponsorship), which are often used as proxies for one-mode networks where direct measurement is impractical or impossible (e.g. networks of collaboration, friendship, alliance). However, extracting the backbone of bipartite projections requires special care. This paper reviews existing methods for extracting the backbone from bipartite projections, and proposes a new method that aims to overcome their limitations. The stochastic degree sequence model (SDSM) involves the construction of empirical edge weight distributions from random bipartite networks with stochastic marginals, and is demonstrated using data on bill sponsorship in the 108th U.S. Senate. The extracted backbone's validity as a network reflecting political alliances and antagonisms is established through comparisons with data on political party affiliations and political ideologies, which offer an empirical ground-truth. The projection and backbone extraction methods discussed in this paper can be performed using the -onemode- command in Stata.     

Categorical attribute based centrality: E–I and G–F centrality

In a paper examining informal networks and organizational crisis, Krackhardt and Stern (1988) proposed a measure assessing the extent to which relations in a network were internal to a group as opposed to external. They called their measure the E–I index. The measure is now in wide use and is implemented in standard network packages such as UCINET ( Borgatti et al., 2002). The measure is based on a partition-based degree centrality measure and as such can be extended to other centrality measures and group level data. We explore extensions to closeness, betweenness and eigenvector centrality, and show how to apply the technique to sets of subgroups that do not form a partition. In addition, the extension to betweenness suggests a linkage to the Gould and Fernandez brokerage measures, which we explore.     

How public relations functions as news sources in China

This study re-conceptualizes the interaction between public relations (PR) practitioners and journalists in news construction. Proposing a new conceptual framework of “news-source involvement,” this study applies two dimensions – “involvement width” and “involvement density” – when examining how information and/or stories generated by PR people affect news coverage. Empirically, this study identifies seven types of news sources derived from a systematic content analysis of 1600 stories in four selected Chinese newspapers from 2001 to 2010 – 10-year period. The major findings include: (1) information subsidy has become a popular phenomenon in China; (2) over the past decade, the Chinese government has been slowly but surely becoming more tolerant of public's expression of their opinions relating to social and political issues. Though the government remains as the dominating “news source” for newspapers, other non-mainstream news sources (e.g. grass-root civilian) have emerged. Growing from the used-to-be “silent mass,” they have become the “subordinate majority” nowadays, having strong influence in certain coverage; and (3) PR people as one of the major news sources, interact with media in a selective manner; and such interaction takes places largely on tactical level.     

The village in the mind: Applying Q-methodology to re-constructing constructions of rurality

In recent years rural studies have focused on the analysis of different notions of ‘the rural’ and how they are constructed in expert discourses as well as in everyday life. Dealing empirically with such patterns of meaning, poses special challenges to social science. In this article I want to explore Q-methodology that approaches subjectivity in a particular way. Instead of beginning with the individual – as it is done in case study approaches – or with socio-demographic categories – as surveys usually do – Q-methodology attempts to put the focus of inquiry on the content of subjectivity itself, i.e. the integral views and their internal frame of reference. Q-methodology can be conceived as a hybrid of qualitative and quantitative methodology since it combines mathematical procedures like factor analysis with a genuine constructivist and interpretative approach to ‘reality’. An example of a study in which Q-methodology was applied is presented. The aim of this analysis was to explore the different views of village development and community life that existed in a municipality of the exurban hinterland of Hamburg. As a result of this study three distinct perceptions of rurality are identified: an idyllic, a reform-oriented and an anti-conservationist view. Based on a structured comparison of these three views it is shown how Q-methodology can contribute new perspectives and insights to the debate about social representations of rurality.     

Official statisticians as conceptual innovators

Statistics are impossible without concepts. As the sociologist of invention Colum Gilfillan put it in 1952, ‘counting begins with definition of the thing to be counted’. This article is concerned with statistics on science, technology and innovation (STI). It documents how official statisticians have, over time, defined the concepts used for measurement. Debates on definitions of the concepts measured started at the very beginning of STI measurement in the first half of the twentieth century. Then, from the early 1960s onward, methodological manuals were developed to conventionalize the definitions. This article claims that the manuals did not have the expected result. They did not stabilize the definitions and the statistics based thereon.     

Geographical indications, terroir, and socioeconomic and ecological sustainability: The case of tequila

In this paper, we use the case of tequila to examine the potential for geographical indications (GIs) to contribute to socioeconomic and environmental sustainability. GIs are place-based names (e.g., Champagne, Roquefort) that convey the geographical origin, as well as the cultural and historical identity, of agricultural products. The GI for tequila was established by the Mexican government in 1974, making it the oldest GI, and one of the best-recognized, outside of Europe. Here, we examine the social, economic, and ecological impacts that the agave–tequila industry has had on one community in tequila's region of origin, the town of Amatitán. We show that persistent cycles of surplus and shortage of agave and changing production relations in the agave–tequila industry have led to: (1) economic insecurity among farm households; (2) increased use of chemical inputs, at the expense of more labor-intensive cultivation practices; and (3) overall declines in fertilizer application, especially during periods in which there is a surplus of agave. We argue that the negative effects of the agave–tequila industry on the local economy and environment are due to the failure of the GI for tequila to value the ways in which the terroir of tequila's region of origin have contributed to its specific properties. We conclude by using this case to discuss more generally the relationship between the protection of place-based products (known collectively as geographical indications) and social and environmental sustainability.     

Cause identity: A measurement of disability organizations’ communicated values

This article introduces the concept of “cause identity” as an important consideration in public relations practice as well as research. Ten different disability organizations were used to examine how – as measured through communicated values – organizational identity is expressed. Results of a quantitative content analysis of marketing and public relations materials used by the organizations indicated very few distinctions in their organizational identities. Rather, a strong collective identity was shared among all ten organizations.     

Ethnic appeal: A self-defense tool for Kenyan politicians

So far, analyses of apologetic rhetoric strategies as used by individuals or organizations to respond to accusations of wrongdoing have been concentrated in the West. An analysis of political apologia in an African setting – in this case Kenya – reveals that while Kenyan politicians have used denial, victimization, mortification, and counterattacking among other self-defense strategies, one particular strategy emerges as the most commonly used by Kenyan politicians – ethnic appeal.     

Organizational Change-Too Much,Too Soon?

ABSTRACT

Recent changes in government policies and practices, especially managed care, have led many nonprofit organizations to embrace collaboration as a competitive strategy. This article presents a case study of a large human service agency that has adopted a management service organization (MSO) model, a type of collaboration particularly suited to handling third-party contracts, at the urging of the founding CEO. A new governance model was also adopted. Using chronology as an analytical approach, the case examines key decisions made by professional and lay leaders during four distinct stages of organizational development. The actions taken by the board of directors to restore financial stability and protect the organization's reputation after learning from the CEO of the existence of a significant deficit demonstrate the need for strategic planning and better communication among all relevant parties involved in a collaboration.     

Social context,spatial structure and social network structure

Frequently, social networks are studied in their own right with analyses devoid of contextual details. Yet contextual features – both social and spatial – can have impacts on the networks formed within them. This idea is explored with five empirical networks representing different contexts and the use of distinct modeling strategies. These strategies include network visualizations, QAP regression, exponential random graph models, blockmodeling and a combination of blockmodels with exponential random graph models within a single framework. We start with two empirical examples of networks inside organizations. The familiar Bank Wiring Room data show that the social organization (social context) and spatial arrangement of the room help account for the social relations formed there. The second example comes from a police academy where two designed arrangements, one social and one spatial, powerfully determine the relational social structures formed by recruits. The next example is an inter-organizational network that emerged as part of a response to a natural disaster where features of the improvised context helped account for the relations that formed between organizations participating in the search and rescue mission. We then consider an anthropological example of signed relations among sub-tribes in the New Guinea highlands where the physical geography is fixed. This is followed by a trading network off the Dalmatian coast where geography and physical conditions matter. Through these examples, we show that context matters by shaping the structure of networks that form and that a variety of network analytic tools can be mobilized to reveal how networks are shaped, in part, by social and spatial contexts. Implications for studying social networks are suggested.     

Parent–child relationships,friendship networks,and developmental outcomes of economically disadvantaged youth in Hong Kong

This research investigates factors conducive to the thriving of economically disadvantaged young people in Hong Kong. In particular, we examine ways in which the parent–child relationship and friendship networks, as the principal sources of support during the transition from childhood to adulthood, influence the developmental outcomes of this group of young people with regard to their mental health, positive identity, behavioral adjustment, resilience and academic achievement. Based on a survey of 479 young people recruited from community-based youth-service centers located in different districts of Hong Kong, the results of the present research support the hypotheses that parent–child relationships and friendship networks have significant positive effects on youth development among low-income young people. Our results also show that, when compared with friendship networks, the parent–child relationship is a stronger predictor of youth development, that is, a stronger parent–child relationship tends to correspond to a better developmental outcome. Moreover, our research provides empirical evidence regarding the influence that parents can have on shaping the quality of young people's friendship networks. The implications of our findings, both for future research and for service delivery to promote the well-being of economically disadvantaged young people, are discussed.     

Does Attitudinal Consensus Lead to Neighborhood Collaboration? An Exploratory Analysis of an Urban Community

This article examines whether high levels of attitudinal consensus on community needs and civic responsibilities among a community's residents are associated with effective collaborative efforts among that community's neighborhood associations. Drawing upon both quantitative and qualitative data from an evaluation of an umbrella organization in an urban community, the authors found only a weak connection between attitudinal consensus, which was strong to moderate on most issues, and effective neighborhood association collaboration. The authors conclude that attitudinal consensus may be a necessary first step toward building effective collaboration but is far from sufficient to foster meaningful and stable partnerships. The authors explore the reasons for the lack of effective collaboration, offer suggestions for addressing barriers to collaboration, and discuss the implications of the findings for community building initiatives that aim to build social capital, particularly across “difference,” in distressed and diverse urban communities.     

Latino families and the public child welfare system: Examining the role of social support networks

The number of Latino families involved with the public child welfare system has increased exponentially in the last decade. This qualitative study examined one of this population's inherent resources – their social network – and the role it plays when involved with the public child welfare system. Findings reveal that Latino families rely heavily on their network for emotional support, advice/information, and advocacy. Often parents received incorrect or conflicting information or advice grounded on experiences that were very different from the participant's case. In addition, their networks are homophilous; that is, limited to people who are in their same circumstances which limits their ability to access formal sources of advocacy and support. Many parents were also genuinely interested in helping other parents with open cases. Practice recommendations are made as it relates to actively engaging Latino families in their case process and supporting Latino families by incorporating their networks and genuine interest in helping others into child welfare service delivery.     

Triadic configurations in limited choice sociometric networks: Empirical and theoretical results

Previous research demonstrated that information contained in triad censuses from heterogeneous collections of social networks occupies a high dimensional space. Regions of this space, and locations of triad censuses within it, are largely defined by lower order network properties: network density and dyad distributions [Faust, K., 2006. Comparing social networks: size, density, and local structure. Metodološki Zvezki (Advances in Methodology and Statistics) 3 (2), 185–216; Faust, K., 2007. Very local structure in social networks. Sociological Methodology 37, 209–256]. The current paper extends comparative work on triad censuses by addressing three related issues. First, it determines and interprets the space occupied by triad censuses for 128 friendship networks gathered using a limited choice sociometric protocol. Second, it constructs a theoretical space for triad censuses expected given lower order graph properties and examines the dimensionality and shape of this space. Third, it brings together these lines of investigation to determine where the empirical triad censuses reside within the theoretical space. Results show that the empirical triad censuses are almost perfectly represented in one dimension (explaining 99% of the data) and that network density explains over 96% of the variance in locations on this dimension. In contrast, the theoretical space for triad censuses is at least four-dimensional, with distinctive regions defined by network density and dyad distributions. Within this theoretical space, the empirical triad censuses occupy a restricted region that closely tracks triad censuses expected given network density. Results differ markedly from prior findings that the space occupied by triad censuses from heterogeneous social networks is of high dimensionality. Results also reinforce observations about constraints that network size and density place on graph level indices.     

Corporate social responsibility among SMEs in Italy

Much of the scholarly discussion on CSR has focused on large corporations even though small and medium enterprises (SMEs) constitute the bulk of businesses in many countries of the world. According to the Organization for Economic Co-operation and Development (OECD), 99.9% of the corporations in Italy are SMEs employing fewer than 250 people. This study sought to explore the CSR among SMEs including whether they practice CSR as a strategic function, who the main stakeholders were for their CSR activities, the drivers of CSR, and the motivations to engage in CSR. Data were collected from three sources: a survey of executives of a sample of 105 SMEs; qualitative in-depth interviews of the owner–managers of five SMEs and élite interviews with opinion leaders. The sample organizations practiced CSR mainly through informal, internally oriented and relational methods with very little, if any, managerial and strategic approach. A large number of sample organizations viewed employees as the most important stakeholders for CSR communication whereas customers, suppliers, and business partners trailed far behind. Interestingly, the media, government, NGOs, and unions were relegated to the bottom of the list. Networks of personal relationships (including that of owner–managers and top executives) were frequently used to conduct CSR activities.     

Social and spatial networks: Kinship distance and dwelling unit proximity in rural Thailand

We address a long hypothesized relationship between the proximity of individuals’ dwelling units and their kinship association. Better understanding this relationship is important because of its implications for contact and association among members of a society. In this paper, we use a unique dataset from Nang Rong, Thailand which contains dwelling unit locations (GPS) and saturated kinship networks of all individuals living in 51 agricultural villages. After presenting arguments for a relationship between individuals’ dwelling unit locations and their kinship relations as well as the particulars of our case study, we introduce the data and describe our analytic approach. We analyze how kinship – considered as both a system linking collections of individuals in an extended kinship network and as dyadic links between pairs of individuals – patterns the proximity of dwelling units in rural villages. The results show that in general, extended kin live closer to one another than do unrelated individuals. Further, the degree of relatedness between kin correlates with the distance between their dwelling units. Close kin are more likely to co-reside, a fact which drives much of the relationship between kinship relatedness and dwelling unit proximity within villages. There is nevertheless suggestive evidence of a relationship between kinship association and dwelling unit proximity among kin who do not live together.     

Framing the Sino–US–Thai relations in the post-global economic crisis

Based on the frame analysis, this study conducted a content analysis of Thailand's two English-language newspapers, Bangkok Post and the Nation, to examine the relationships among the world's two largest economies, the United States of America and the People's Republic of China, and the emerging economy of Thailand in the wake of the subprime housing loan crisis. The study has established five generic news frames: economic consequence, human interest, morality, conflict and cooperation. It was found that such cultural values as individualism – collectivism, materialism – spiritualism and conflict – harmony have influenced the frame-building process. As a consequence of the subprime crisis, the US was portrayed as the old power waning in hegemony while China an emerging power with a fast growing economy. The Thai press played up a sound Sino–US relationship based on cooperation rather than conflict which would shape the 21st century. Thailand, where the Asian financial crisis broke out in 1997, offered morality or ethics as a remedy frame for the global economic crisis.