Local Conventions in Game Play in an Evolving Dual Social Network Framework

People usually perform economic interactions within the social setting of a small group, while they obtain relevant information from a broader source. We capture this feature with a dynamic interaction model based on two separate social networks. Individuals play a coordination game in an interaction network, while updating their strategies using information from a separate influence network through which information is disseminated. In each time period, the interaction and influence networks co-evolve, and the individuals’ strategies are updated through a modified naive learning process. We show that both network structures and players’ strategies always reach a steady state, in which players form fully connected groups and converge to local conventions. We also analyze the influence exerted by a minority group of strongly opinionated players on these outcomes.

Systematically retrieving research in the digital age: Case study on the topic of social networking sites and young people’s mental health

Online information seeking has become normative practice among both academics and the general population. This study appraised the performance of eight databases to retrieve research pertaining to the influence of social networking sites on the mental health of young people. A total of 43 empirical studies on young people’s use of social networking sites and the mental health implications were retrieved. Scopus and SSCI had the highest sensitivity with PsycINFO having the highest precision. Effective searching requires large
generic databases, supplemented by subject-specific catalogues. The methodology developed here may provide inexperienced searchers, such as undergraduate students, with a framework to define a realistic scale of searching to undertake for a particular literature review or similar project.

Translating evidence into practice: A shared priority in public health?

Translational and transdisciplinary research is needed to tackle complex public health problems. This article has three aims. Firstly, to determine how academics and non-academics (practitioners, policy makers and community workers) identified with the goals of the UKCRC Centre of Excellence for Public Health in Northern Ireland and how their attitudes varied in terms of knowledge brokerage and translation. Secondly, to map and analyse the network structure of the public health sector and the placement of the Centre within this. Thirdly, to aggregate responses from members of the network by work setting to construct the trans-sectoral network and devise the Root Mean Sum of Squares to determine the quality and potential value of connections across this network.The analysis was based on data collected from 98 individuals who attended the launch of the Centre in June 2008. Analysis of participant expectations and personal goals suggests that the academic members of the network were more likely to expect the work of the Centre to produce new knowledge than non-academics, but less likely to expect the Centre to generate health interventions and influence health policy. Academics were also less strongly oriented than non-academics to knowledge transfer as a personal goal, though more confident that research findings would be diffused beyond the immediate network. A central core of five nodes is crucial to the overall configuration of the regional public health network in Northern Ireland, with the Centre being well placed to exert influence within this. Though the overall network structure is fairly robust, the connections between some component parts of the network - such as academics and the third sector - are unidirectional.Identifying these differences and core network structure is key to translational and transdisciplinary research. Though exemplified in a regional study, these techniques are generalisable and applicable to many networks of interest: public health, interdisciplinary research or organisational involvement and stakeholder linkage.

Agitating for a design and regeneration agenda in a postconflict city: the case of Belfast

Introduction

Belfast has been a focus of academic attention for the last forty years with most interest centred on various aspects of ‘the Troubles’. Where there has been interest in the built environment, it has largely been about how the ‘security situation’ impacted directly on architecture and on the design and layout of social housing. This paper seeks to go beyond this to explore how the political- administrative culture of ‘the Troubles’ interacted with ‘normal’ market forces to shape the central area of the city, and to consider the responses of a recently formed activist group, known as the Forum for Alternative Belfast (hereafter referred to as the Forum). The paper is written by three of the directors of the Forum.1 Moreover, the empirical research presented here was undertaken by the Forum as part of a campaign to address issues relating to the design, layout and quality of Belfast’s built environment. In the longstanding tradition of participant observation working within an action-research paradigm, the participants have attempted to offer an account that is evidentially and purposefully selfcritical and reflective. It is of course recognised that while this approach offers many positive attributes, such as phenomenological access through immersion in the project, it also has the potential to bring compromise on research detachment and objectivity.2 To address the latter, the authors have attempted
to avoid polemical argument, and to support claims with primary or secondary research evidence. The authors also acknowledge that action-research has a chequered history; however, they would argue
that their approach is faithful to a concept that sees ‘research’ defined as understanding and ‘action’ defined as seeking change. The Forum’s very purpose is to seek change, but to do this requires evidence, collaboration and demonstration. And in this sense, it is a learning process for all participants, including the research activists, government officials, community organisations and students. The authors also recognise the complexity of factors that affect urban management and change, particularly in a city such as Belfast, which has had to cope with political violence for over thirty years. And they appreciate that in the context of conflict, governance is skewed to cope with political realities. Hamdi reminds us, however, that in practice there is an ‘important dialectic between top-down planning, with its formal and designed laws and structures, and bottom-up selforganizing collectivism—those “quantum and emergent systems” which Jane Jacobs argued long ago give cities their life and order.’3

Towards a general framework for social media research using big data

The increasing adoption of cloud computing, social networking, mobile and big data technologies provide challenges and opportunities for both research and practice. Researchers face a deluge of data generated by social network platforms which is further exacerbated by the co-mingling of social network platforms and the emerging Internet of Everything. While the topicality of big data and social media increases, there is a lack of conceptual tools in the literature to help researchers approach, structure and codify knowledge from social media big data in diverse subject matter domains, many of whom are from nontechnical disciplines. Researchers do not have a general-purpose scaffold to make sense of the data and the complex web of relationships between entities, social networks, social platforms and other third party databases, systems and objects. This is further complicated when spatio-temporal data is introduced. Based on practical experience of working with social media datasets and existing literature, we propose a general research framework for social media research using big data. Such a framework assists researchers in placing their contributions in an overall context, focusing their research efforts and building the body of knowledge in a given discipline area using social media data in a consistent and coherent manner.