The Non-Responsive Receiver Problem in Mobile Ad-hoc Networks

This letter exposed a serious unfairness problem with IEEE 802.11 MAC based Mobile Ad-hoc Networks (MANETs) when operating TCP connections, and identifies the three common factors that contribute to this problem. The work initiated the development of a programmable wireless framework that is subsequently used in a spin-out company (TOM), and by the Telecoms Technology Testing centre in Taiwan(Dr D Chieng).

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.

Social exclusion and social capital: A comparison and critique

Social exclusion and social capital are widely used concepts with multiple and ambiguous definitions. Their meanings and indicators partially overlap, and thus they are sometimes used interchangeably to refer to the inter-relations of economy and society. Both ideas could benefit from further specification and differentiation. The causes of social exclusion and the consequences of social capital have received the fullest elaboration, to the relative neglect of the outcomes of social exclusion and the genesis of social capital. This article identifies the similarities and differences between social exclusion and social capital. We compare the intellectual histories and theoretical orientations of each term, their empirical manifestations and their place in public policy. The article then moves on to elucidate further each set of ideas. A central argument is that the conflation of these notions partly emerges from a shared theoretical tradition, but also from insufficient theorizing of the processes in which each phenomenon is implicated. A number of suggestions are made for sharpening their explanatory focus, in particular better differentiating between cause and consequence, contextualizing social relations and social networks, and subjecting the policy 'solutions' that follow from each perspective to critical scrutiny. Placing the two in dialogue is beneficial for the further development of each.

User perspective on palliative care services: experiences of middle-aged partners bereaved through cancer known to social work services in Northern Ireland

This qualitative research study explores experiences of partners bereaved through cancer, who were resident in an urban area of Northern Ireland and who had been service users of the social work services. Data were collected in 2004 from 10 individuals who participated in semi-structured interviews. Emergent themes were identified using thematic content analysis and findings analysed under four categories: cancer journey; impact of bereavement; process of adjustment and change; and experience of support services. Opportunities to facilitate communication were not always maximised, often resulting in poor bereavement outcomes. Although hospices undertook bereavement risk assessment, participants were unaware of its use and queried its accuracy without service user involvement. The most cited informal support was family and friends, although such help was time-limited. Service user feedback regarding social workers was generally positive; however, there was a lack of knowledge about their role in palliative care. Post-bereavement adjustment was influenced by the quality of social networks, the responsibilities of lone parenthood, and challenges to life values and core beliefs. A framework for palliative care social work has been recommended based on research findings.

Building bridging social capital in a divided society: The role of participatory citizenship education

Participatory citizenship education has been highlighted as a strategy to promote social cohesion in divided societies whereby collaborations with Non-Governmental Organisations and inter-school links have been proposed as tools to improve social networks between schools and communities. This article explores the role and meaning of citizenship education and cross-community participation in promoting social capital and social cohesion. School survey findings, focus groups and interviews with young people and educators indicated that differences between school sectors and established allegiances with particular communities and NGOs may limit the potential for citizenship education to produce bridging social capital and serve to reproduce bonding social capital. It is argued that the introduction of citizenship curricula into segregated schools systems in divided societies may be useful to promote citizenship values and positive attitudes to the other but insufficient to promote the development of bridging social capital and, ultimately, social cohesion in the long term.

Social determinants of older adults' awareness of community support services in Hamilton, Ontario

Community support services (CSSs) have been developed in Canada and other Western nations to enable persons coping with health or social issues to continue to live in the community. This study addresses the extent to which awareness of CSSs is structured by the social determinants of health. In a telephone interview conducted in February-March 2006, 1152 community-dwelling older adults (response rate 12.4%) from Hamilton, Ontario, Canada were made to read a series of four vignettes and were asked whether they were able to identify a CSS they may turn to in that situation. Across the four vignettes, 40% of participants did name a CSS as a possible source of assistance. Logistic regression was used to determine factors related to awareness of CSSs. Respondents most likely to have awareness of CSS include the middle-aged and higher-income groups. Being knowledgeable about where to look for information about CSSs, having social support and being a member of a club or voluntary organisations are also significant predictors of awareness of CSSs. Study results suggest that efforts be made to improve the level of awareness and access to CSSs among older adults by targeting their social networks as well as their health and social care providers. © 2011 Blackwell Publishing Ltd.

Improving Patient Safety Through Formal and Informal Learning Networks

This paper explores a novel perspective on patient safety improvements, which draws on
contemporary social network and learning theories. A case study was conducted at a Portuguese
acute university hospital. Data collection followed a staged approach, whereby 46 interviews
were conducted involving 49 respondents from a broad array of departments and professional
backgrounds. This case study highlights the importance of two major interlinked factors in
contributing to patient safety improvements. The first of these is the crucial role of formal and
informal, internal and external social networks. The second is the importance and the possible
advantage of combining formal and informal learning. The analysis suggests that initiatives
rooted in formal learning approaches alone do not necessarily lead to the creation of long-term
grounded internal safety networks, and that patient safety improvements can crucially depend on
bottom-up initiatives of communities of practice and informal learning. Traditional research on
patient safety places a strong emphasis on top-down and managerialist approaches and is often
based on the assumption that „safety? learning is primarily formal and context-independent. This
paper suggests that bottom-up initiatives and a combination of formal and informal learning can
make a major contribute to patient safety improvements.

Dense subgraphs on dynamic networks

In distributed networks, it is often useful for the nodes to be aware of dense subgraphs, e.g., such a dense subgraph could reveal dense substructures in otherwise sparse graphs (e.g. the World Wide Web or social networks); these might reveal community clusters or dense regions for possibly maintaining good communication infrastructure. In this work, we address the problem of self-awareness of nodes in a dynamic network with regards to graph density, i.e., we give distributed algorithms for maintaining dense subgraphs that the member nodes are aware of. The only knowledge that the nodes need is that of the dynamic diameter D, i.e., the maximum number of rounds it takes for a message to traverse the dynamic network. For our work, we consider a model where the number of nodes are fixed, but a powerful adversary can add or remove a limited number of edges from the network at each time step. The communication is by broadcast only and follows the CONGEST model. Our algorithms are continuously executed on the network, and at any time (after some initialization) each node will be aware if it is part (or not) of a particular dense subgraph. We give algorithms that (2 + e)-approximate the densest subgraph and (3 + e)-approximate the at-least-k-densest subgraph (for a given parameter k). Our algorithms work for a wide range of parameter values and run in O(D log n) time. Further, a special case of our results also gives the first fully decentralized approximation algorithms for densest and at-least-k-densest subgraph problems for static distributed graphs. © 2012 Springer-Verlag.

Algorithms for Self-Healing Networks

Many modern networks are \emph{reconfigurable}, in the sense that the topology of the network can be changed by the nodes in the network. For example, peer-to-peer, wireless and ad-hoc networks are reconfigurable. More generally, many social networks, such as a company's organizational chart; infrastructure networks, such as an airline's transportation network; and biological networks, such as the human brain, are also reconfigurable. Modern reconfigurable networks have a complexity unprecedented in the history of engineering, resembling more a dynamic and evolving living animal rather than a structure of steel designed from a blueprint. Unfortunately, our mathematical and algorithmic tools have not yet developed enough to handle this complexity and fully exploit the flexibility of these networks. We believe that it is no longer possible to build networks that are scalable and never have node failures. Instead, these networks should be able to admit small, and maybe, periodic failures and still recover like skin heals from a cut. This process, where the network can recover itself by maintaining key invariants in response to attack by a powerful adversary is what we call \emph{self-healing}. Here, we present several fast and provably good distributed algorithms for self-healing in reconfigurable dynamic networks. Each of these algorithms have different properties, a different set of gaurantees and limitations. We also discuss future directions and theoretical questions we would like to answer. %in the final dissertation that this document is proposed to lead to.

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.