Back propagation neural networks and multiple regressions in the case of heteroskedasticity

This paper compares the performance between regression analysis and a clustering based neural network approach when the data deviates from the homoscedasticity assumption of regression. Heteroskedasticity is a problem that arises in linear regression due to the unequal error variances. One of the methods to deal heteroskedasticity in classical regression theory is weighted least-square regression (WLS). In order to deal the problem of heteroskedasticity, backpropagation neural network is applied. In this context, an algorithm is proposed which is based on robust estimates of location and dispersion matrix that helps in preserving the error assumption of the linear regression. Analysis is carried out with appropriate designs using simulated data and the results are presented.     

Beyond interviewer effects in the standardized measurement of ego-centric networks

The effects which interviewers exert on the collection of ego-centric networks have recently come into the focus of methodological considerations. Studies consistently show that the size of networks varies depending on the interviewer. We would like to expand on this research strand by pointing to different aspects which have so far gone unremarked in the discussion. First, size is mainly analysed as a network measure which is influenced during data collection, while other common measures such as network density or composition have not received sufficient consideration. Second, large-scale surveys using face-to-face interviews usually allocate interviewers to a single sampling point. Differences between sampling points (locality effects) are attributed to interviewer effects. Hence, we disentangle the effects of the locality and interviewer. Third, the discussion on interviewer effects often follows an “actor-oriented” consideration of how data collection situations are structured by interviewers. Expanding this approach from a relational perspective, we consider the relationship between the interviewers and respondents and whether this relationship influences the collection of network data. To test our hypotheses about the influence of interviewers, the locality and the interviewer-respondent relationship on different network measures, we use data from the 2010 German General Social Survey (n = 2827 respondents, n = 220 interviewers). The multilevel analyses show that the relationship between the interviewer and the respondent is not very relevant. Furthermore, the analyses show that interviewers have an influence on the network size but not on measures of their composition. However, evidence on the prevalence of locality or interviewer effects is mixed. Finally, homophilous interviewer-respondent relationships have very little effect on network characteristics. We find evidence of training and fatigue effects on network size. However, much of the variation in network size caused by the interviewer still remains unexplained. We draw conclusions on how to organize interview situations in surveys.     

Investor commitment to serial entrepreneurs: A multilayer network analysis

Social networks are complex systems composed of interdependent organizations and people with diverse network structures. Understanding network dynamics, such as exchange commitment, requires a methodological toolkit that does not assume away complexity. In this study, we extend a technique for analyzing longitudinal, multilayer network data called network alignment. We introduce a novel metric – intersect proportions – for analyzing similarity between divergent graphs. We demonstrate the application of network alignment and intersect proportions to the context of investor commitment to startups and entrepreneurs. Using this technique, we are able to disentangle exchange commitment across complex networks.     

The structure and vulnerability of a drug trafficking collaboration network

Prior research has established that collaboration networks exhibit heavy-tailed degree distributions, assortative degree mixing, and large clustering coefficients. Using court record data, we assess these properties in a collaboration network among heroin traffickers. Consistent with prior research, we find an exponential degree distribution and strong local clustering. However, the traffickers mix dissortatively by degree rather than assortatively. Using a graph sampling method, we show that a consequence of dissortative mixing is that targeted vertex removals have a greater impact on the connectivity and cohesion of the trafficking network. We also note the importance of degree mixing for characterizing and identifying topological weaknesses.     

Laying the foundation for a global body of knowledge in public relations and communications management

An internationally recognised body of knowledge is both possible and necessary for the future success and professionalisation of public relations. Through extensive content analysis of 31 credential schemes, education frameworks, and scholarly articles produced across six continents, the Global Alliance for Public Relations and Communications Management has developed a foundational list of knowledge, skills, abilities and behaviours (KSABs), which entry and mid/senior-level practitioners across the world should possess. This study and list of KSABs is laying the foundation for development of an internationally accepted framework which professional associations and academic institutions across the world will be able to use to benchmark professional credentials and curriculum outcomes.     

Fragments of Modernization: Domestic Spaces Indicating Traditional Dialects in a Modern Speech

This article examines the change in Turkish domestic space through modernization and, in particular, the artifact of lace, as a nonchanging object in Turkish home in its relationship with the “traditional” and the “modern” domestic settings. Thereby it investigates how traditional and modern settings are defined in Turkish society and, this leads to a further analysis of the modernization process in Turkey within the scope of Turkish house and its domestic settings. The aim of the article is to analyze lace as an agent, which is an actant of the change in domestic settings, to read the connection between the daily life of people and social lives of artifacts. Therefore, examining the dialogue of lace with traditional and modern domestic settings provides to deconstruct the network of the artifact, the house and the individual during the modernization process that Turkish society has been through. The theoretical perspective of the article relies on a material‐semiotic approach with an emphasis on Latour's Actor‐Network Theory and, the methodology of the article is based on ethnography: It includes observations and semi‐structured interviews conducted with people from different social environments focusing on the meaning and the use of lace in domestic environment.     

‘My Parents told us that they will always Treat my Brother Differently Because he is Autistic’ – Are Siblings of Autistic Children the Forgotten Ones?

Autism spectrum disorder (ASD) does not only affect the child alone, but the family unit as well. This qualitative study explored the impacts of ASD on the relationship between parents and their neuro-typical children and how the neuro-typical children cope with the impacts of having an autistic sibling in the family. Utilising principles of the social relations theory, five Singaporean families (n = 10) consisting of five mothers and five neuro-typical children were interviewed. Both the mothers and the neuro-typical children were seen to be equal agents in influencing the interactions with each other, and contributed in maintaining the close relationship through various strategies. Findings revealed that having an autistic child in the family imposed certain constraints and additional responsibilities for the family members. Despite so, the neuro-typical children coped well with such constraints. The in-depth data highlight the value of considering both the agency of mothers and the neuro-typical children and how they bidirectionally influence each other while sharing the caregiving roles for the autistic child in the family. It is strongly recommended for practitioners to incorporate elements of child's agency when expanding their scope of psychosocial intervention work with the neuro-typical children.     

Examining signs of recovery: How senior crisis communicators define organizational crisis recovery

Interviews with senior crisis communicators explore how crisis recovery is defined and what role publics and organizational communication and characteristics play. Findings reveal recovery is measured operationally and short-term. Effective communication proactively addresses failures, is transparent and honest while positive, focuses on future directions, and rebuilds and repairs symbolic damage. Organizational best practices include tested values and crisis leadership. Publics can facilitate healing, highlight victims’ voices, and provide recovery evidence.