Secure Communication in Cellular Networks: The Benefits of Millimeter Wave Mobile Broadband

This paper proposes millimeter wave (mmWave) mobile broadband for achieving secure communication in downlink cellular network. Analog beamforming with phase shifters is adopted for the mmWave transmission. The secrecy throughput is analyzed based on two different transmission modes, namely delay-tolerant transmission and delay-limited transmission. The impact of large antenna arrays at the mmWave frequencies on the secrecy throughput is examined. Numerical results corroborate our analysis and show that mmWave systems can enable significant secrecy improvement. Moreover, it is indicated that with large antenna arrays, multi-gigabit per second secure link at the mmWave frequencies can be reached in the delay-tolerant transmission mode and the adverse effect of secrecy outage vanishes in the delay-limited transmission mode.

Identity and Link Reliability in Social Networks

This paper considers a non-cooperative network formation game where identity is introduced as a single dimension to capture the characteristics of a player in the network. Players access to the benefits from the link through direct and indirect connections. We consider cases where cost of link formation paid by the initiator. Each player is allowed to choose their commitment level to their identities. The cost of link formation decreases as the players forming the link share the same identity and higher commitment levels. We then introduce link imperfections to the model. We characterize the Nash networks and we find that the set of Nash networks are either singletons with no links formed or separated blocks or components with mixed blocks or connected.

Secure D2D Communication in Large-Scale Cognitive Cellular Networks with Wireless Power Transfer

In this paper, we investigate secure device-to-device (D2D) communication in energy harvesting large-scale cognitive cellular networks. The energy constrained D2D transmitter harvests energy from multi-antenna equipped power beacons (PBs), and communicates with the corresponding receiver using the spectrum of the cellular base stations (BSs). We introduce a power transfer model and an information signal model to enable wireless energy harvesting and secure information transmission. In the power transfer model, we propose a new power transfer policy, namely, best power beacon (BPB) power transfer. To characterize the power transfer reliability of the proposed policy, we derive new closed-form expressions for the exact power outage probability and the asymptotic power outage probability with large antenna arrays at PBs. In the information signal model, we present a new comparative framework with two receiver selection schemes: 1) best receiver selection (BRS), and 2) nearest receiver selection (NRS). To assess the secrecy performance, we derive new expressions for the secrecy throughput considering the two receiver selection schemes using the BPB power transfer policies. We show that secrecy performance improves with increasing densities of PBs and D2D receivers because of a larger multiuser diversity gain. A pivotal conclusion is reached that BRS achieves better secrecy performance than NRS but demands more instantaneous feedback and overhead.

"Hidden" Social Networks in Behavior Change Interventions

We investigated whether “hidden” (or unobserved) social networks were evident in a 2011 physical activity behavior change intervention in Belfast, Northern Ireland. Results showed evidence of unobserved social networks in the intervention and illustrated how the network evolved over short periods and affected behavior. Behavior change interventions should account for the interaction among participants (i.e., social networks) and how such interactions affect intervention outcome.

Location-Awareness for Radios and Networks: Part I

The papers in this special issue focus on the topic of location awareness for radio and networks. Localization-awareness using radio signals stands to revolutionize the fields of navigation and communication engineering. It can be utilized to great effect in the next generation of cellular networks, mining applications, health-care monitoring, transportation and intelligent highways, multi-robot applications, first responders operations, military applications, factory automation, building and environmental controls, cognitive wireless networks, commercial and social network applications, and smart spaces. A multitude of technologies can be used in location-aware radios and networks, including GNSS, RFID, cellular, UWB, WLAN, Bluetooth, cooperative localization, indoor GPS, device-free localization, IR, Radar, and UHF. The performances of these technologies are measured by their accuracy, precision, complexity, robustness, scalability, and cost. Given the many application scenarios across different disciplines, there is a clear need for a broad, up-to-date and cogent treatment of radio-based location awareness. This special issue aims to provide a comprehensive overview of the state-of-the-art in technology, regulation, and theory. It also presents a holistic view of research challenges and opportunities in the emerging areas of localization.

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.

CSFinder: A Cold-Start Friend Finder in Large-Scale Social Networks

Recommending users for a new social network user to follow is a topic of interest at present. The existing approaches rely on using various types of information about the new user to determine recommended users who have similar interests to the new user. However, this presents a problem when a new user joins a social network, who is yet to have any interaction on the social network. In this paper we present a particular type of conversational recommendation approach, critiquing-based recommendation, to solve the cold start problem. We present a critiquing-based recommendation system, called CSFinder, to recommend users for a new user to follow. A traditional critiquing-based recommendation system allows a user to critique a feature of a recommended item at a time and gradually leads the user to the target recommendation. However this may require a lengthy recommendation session. CSFinder aims to reduce the session length by taking a case-based reasoning approach. It selects relevant recommendation sessions of past users that match the recommendation session of the current user to shortcut the current recommendation session. It selects relevant recommendation sessions from a case base that contains the successful recommendation sessions of past users. A past recommendation session can be selected if it contains recommended items and critiques that sufficiently overlap with the ones in the current session. Our experimental results show that CSFinder has significantly shorter sessions than the ones of an Incremental Critiquing system, which is a baseline critiquing-based recommendation system.

Secure D2D Communication in Large-Scale Cognitive Cellular Networks: A Wireless Power Transfer Model

In this paper, we investigate secure device-to-device (D2D) communication in energy harvesting large-scale cognitive cellular networks. The energy constrained D2D transmitter harvests energy from multiantenna equipped power beacons (PBs), and communicates with the corresponding receiver using the spectrum of the primary base stations (BSs). We introduce a power transfer model and an information signal model to enable wireless energy harvesting and secure information transmission. In the power transfer model, three wireless power transfer (WPT) policies are proposed: 1) co-operative power beacons (CPB) power transfer, 2) best power beacon (BPB) power transfer, and 3) nearest power beacon (NPB) power transfer. To characterize the power transfer reliability of the proposed three policies, we derive new expressions for the exact power outage probability. Moreover, the analysis of the power outage probability is extended to the case when PBs are equipped with large antenna arrays. In the information signal model, we present a new comparative framework with two receiver selection schemes: 1) best receiver selection (BRS), where the receiver with the strongest channel is selected; and 2) nearest receiver selection (NRS), where the nearest receiver is selected. To assess the secrecy performance, we derive new analytical expressions for the secrecy outage probability and the secrecy throughput considering the two receiver selection schemes using the proposed WPT policies. We presented Monte carlo simulation results to corroborate our analysis and show: 1) secrecy performance improves with increasing densities of PBs and D2D receivers due to larger multiuser diversity gain; 2) CPB achieves better secrecy performance than BPB and NPB but consumes more power; and 3) BRS achieves better secrecy performance than NRS but demands more instantaneous feedback and overhead. A pivotal conclusion- is reached that with increasing number of antennas at PBs, NPB offers a comparable secrecy performance to that of BPB but with a lower complexity.

Exploring communication between social workers, children and young people

A key issue for the social work profession concerns the nature, quality and content of communicative encounters with children and families. This article introduces some findings from a project funded by the Economic and Social Research Council (ESRC) that took place across the United Kingdom between 2013 and 2015, which explored how social workers communicate with children in their everyday practice. The Talking and Listening to Children (TLC) project had three phases: the first was ethnographic, involving observations of social workers in their workplace and during visits; the second used video-stimulated recall with a small number of children and their social workers; and the third developed online materials to support social workers. This paper discusses findings from the first phase. It highlights a diverse picture regarding the context and content of communicative processes; it is argued that attention to contextual issues is as important as focusing on individual practitioners’ behaviours and outlines a model for so doing.

Rede social de leitores e escritores juniores: portal Biblon: a integração social on-line como catalisador da leitura, criação, expressão e partilha

Com enquadramento nas áreas de Ciência da Informação, Tecnologias de Informação e Comunicação e Educação, o estudo em voga visa formular propostas para o uso de rede social on-line de literatura infantil, em torno da biblioteca, para a educação básica, fundamentadas na teoria de comunidades de prática. O estudo de caso recaiu sobre quatro escolas, do 1º ciclo, da Educação Básica, do Agrupamento de Escolas de Aveiro-Portugal, tendo como instrumento para o experimento o Portal Biblon. A análise dos dados permite afirmar que a leitura de livros on-line não está inclusa nas atividades habituais da comunidade escolar pesquisada e, assim, o aluno encontra-se sem referencial para inserir esta prática cultural em suas rotinas e momentos de ócio. O cenário escolar atual não estimula a confluências da prática da leitura literária e da escrita dos alunos com as redes sociais on-line. O estudo aponta que, em uma rede social on-line, o livro de literatura infantil tem o papel de interagente, agregando leitores, em interação, em torno de si e que nas redes sociais on-line tem-se a presença dos “mediadores sociais centrais” que propiciam reforço e sustentação das práticas de leitura, através do contágio e da influência social e são propulsionadores da estrutura e do dinamismo da rede. Como conclusão geral tem-se que os utilizadores do Biblon desenvolvem experiências de leituras e escritas através da interação social, por meio de práticas, rotinas, diálogos e atividades comuns construídas na rede. A interação dentro da rede influencia o uso das ferramentas e o aprendizado para manuseá-las ocorre com as práticas. Assim, os laços associativos e as reações individuais envolvendo a leitura conduzem à formação de rede social em torno dos livros e os comportamentos e as preferências dos atores motivam a leitura e a escrita. Dessa forma, o Portal Biblon configura-se como um instrumento para formação de rede social on-line em torno da literatura infantil.

A adoção de social media por museus como uma ferramenta de comunicação : proposta de um modelo para o desenho de estratégias de comunicação

A evolução da Internet, e em especial da Web, originou alterações significativas na forma como o indivíduo comunica, conduzindo até que a Web 2.0 tenha mudado o ponto gravitacional da comunicação online, fazendo que o enfoque passasse a ser no acesso às pessoas e não apenas no acesso à informação. Os social media permitem que os indivíduos comuniquem e interajam de formas inovadoras e colaborativas, alterando definitivamente a forma como estes se relacionam e, como o presente estudo pretende, em parte, demonstrar, as instituições culturais e museológicas não são indiferentes a esta mudança de paradigma comunicacional. As exigências e transformações da sociedade atual, intimamente ligada às tecnologias da informação e comunicação, têm levantado novas questões às instituições museológicas, conduzindo a que os museus enfrentem novos desafios de transformação do seu papel social, potenciando o seu cariz eminentemente comunicacional através da utilização das ferramentas Web 2.0 e social media. Os social media possibilitam a evolução do papel do museu, de um fornecedor de informação, para um potenciador de conhecimento, dando aos seus visitantes a possibilidade de participar e explorar, de forma dinâmica e ativa, criando a base para a conceção de novas perspetivas e visões sobre o museu e o objeto museológico. Os social media oferecem novas formas de colaboração com o público e, desta forma, permite que o museu conheça melhor a sua audiência, podendo ajustar-se na gestão e curadoria, com a contribuição dessas novas ideias e visões. No entanto, o desafio, para o sector museológico, da utilização dessas ferramentas com base em estratégias de comunicação adequadas, representa uma tarefa que se mostra por vezes complexa pela inexistência de diretrizes de aplicação e medição de resultados nos social media. Este trabalho concentra-se num estudo com vista à proposta de um conjunto de diretrizes que guiem o design de estratégias de comunicação do museu, através dos social media. Para tal, estudou-se a relação existente entre os museus e os social media, tanto a nível nacional como a nível internacional, reconhecendo o tipo de utilização que fazem dos social media e caracterizando que tipo de conteúdos e quais as ferramentas utilizadas. Deste estudo, entrevistas e outras observações, identificou-se projetos pioneiros na utilização de blogues, wikis, youtube, redes sociais, etc, e concebeu-se, de forma detalhada, modelo orientador da utilização dos social media como ferramenta de comunicação. Parte integrante deste estudo foi a aplicação prática destas diretrizes a museus no concreto, sendo possível a aplicação, medição de resultados e ajustes ao modelo desenvolvido. Os social media apoiam o museu a cumprir o seu papel e função social, aproximando-o do público, cada vez mais diverso e heterogéneo, tornando o online como uma forma essencial de comunicação museológica.

Social-aware opportunistic routing

The increased capabilities (e.g., processing, storage) of portable devices along with the constant need of users to retrieve and send information have introduced a new form of communication. Users can seamlessly exchange data by means of opportunistic contacts among them and this is what characterizes the opportunistic networks (OppNets). OppNets allow users to communicate even when an end-to-end path may not exist between them. Since 2007, there has been a trend to improve the exchange of data by considering social similarity metrics. Social relationships, shared interests, and popularity are examples of such metrics that have been employed successfully: as users interact based on relationships and interests, this information can be used to decide on the best next forwarders of information. This Thesis work combines the features of today's devices found in the regular urban environment with the current social-awareness trend in the context of opportunistic routing. To achieve this goal, this work was divided into di erent tasks that map to a set of speci c objectives, leading to the following contributions: i) an up-to-date opportunistic routing taxonomy; ii) a universal evaluation framework that aids in devising and testing new routing proposals; iii) three social-aware utility functions that consider the dynamic user behavior and can be easily incorporated to other routing proposals; iv) two opportunistic routing proposals based on the users' daily routines and on the content traversing the network and interest of users in such content; and v) a structure analysis of the social-based network formed based on the approaches devised in this work.

SocialLDA:Scalable Topic Modeling in Social Networks

Thesis (Master's)--University of Washington, 2012

Adaptive Probabilistic Topic Models for Social Networks

Thesis (Master's)--University of Washington, 2012