Young Actors in Transnational Agoras : Multi-sited Ethnography of Cosmopolitan Micropolitical Orientations

This study examines young people s political participation in transnational meetings. Methodologically the study aims to shed light on multi-sited global ethnography. Young people are viewed here as a social age group sensitive to critical, alternative and even radical political participation. The diversity of the young actors and their actions is captured by using several different methods. What is more, the study spurs us coming from the Global North to develop social science research towards methodological cosmopolitanism and to consider our research practices from a moral cosmopolitan perspective. The research sites are the EU Presidency Youth Event (2006 Hyvinkää, Finland), the Global Young Greens Founding Conference (2007 Nairobi, Kenya), the European Social Forum (2008 Malmö, Sweden) and three World Social Forums (2006 Bamako, Mali; 2007 Nairobi Kenya and 2009 Belém, Brazil). The data consists of participant observation, documents and media articles of the meetings, interviews, photos, video, and internet data. This multidisciplinary study combines youth research, development studies, performative social science and political sociology. In this research the diverse field of youth political participation in transnational agoras is studied by using a cross-table of cosmopolitan resources (or the lack of them) and everydaymakers expert citizen dichotomy. First, the young participants of the EU Presidency youth event are studied as an example of expert citizens with cosmopolitan resources (these resources include, for example, language skills, higher education and international social network). Second, the study analyses those everyday-makers who use performative politics to demonstrate their political missions here and now. But in order to make the social movement global they need cosmopolitan resources to be able to use the social media tools and work globally. Third, the study reflects upon the difficulties of reaching those actors who lack cosmopolitan resources, either everyday-makers or expert citizens. The go-along method and the use of the interpreters are shown as ways to reach these young people s political missions. Fourth, the research underlines the importance of contact zones (i.e. spaces or situations where the aforementioned orientations and their differences temporarily disappear or weaken) for deeper democracy and for boosted dialogue between different kinds of participants. Keywords: political participation, young people, multi-sited ethnography, youth research, political sociology, development studies, performative social science

Determining Top K Nodes in Social Networks using the Shapley Value

In this paper, we consider the problem of selecting, for any given positive integer k, the top-k nodes in a social network, based on a certain measure appropriate for the social network. This problem is relevant in many settings such as analysis of co-authorship networks, diffusion of information, viral marketing, etc. However, in most situations, this problem turns out to be NP-hard. The existing approaches for solving this problem are based on approximation algorithms and assume that the objective function is sub-modular. In this paper, we propose a novel and intuitive algorithm based on the Shapley value, for efficiently computing an approximate solution to this problem. Our proposed algorithm does not use the sub-modularity of the underlying objective function and hence it is a general approach. We demonstrate the efficacy of the algorithm using a co-authorship data set from e-print arXiv (www.arxiv.org), having 8361 authors.

Influence limitation in multi-campaign social networks: A Shapley value based approach

We investigate the problem of influence limitation in the presence of competing campaigns in a social network. Given a negative campaign which starts propagating from a specified source and a positive/counter campaign that is initiated, after a certain time delay, to limit the the influence or spread of misinformation by the negative campaign, we are interested in finding the top k influential nodes at which the positive campaign may be triggered. This problem has numerous applications in situations such as limiting the propagation of rumor, arresting the spread of virus through inoculation, initiating a counter-campaign against malicious propaganda, etc. The influence function for the generic influence limitation problem is non-submodular. Restricted versions of the influence limitation problem, reported in the literature, assume submodularity of the influence function and do not capture the problem in a realistic setting. In this paper, we propose a novel computational approach for the influence limitation problem based on Shapley value, a solution concept in cooperative game theory. Our approach works equally effectively for both submodular and non-submodular influence functions. Experiments on standard real world social network datasets reveal that the proposed approach outperforms existing heuristics in the literature. As a non-trivial extension, we also address the problem of influence limitation in the presence of multiple competing campaigns.

Method of designing an access mechanism for social networks

The rapid development of communication and networking has lessened geographical boundaries among actors in social networks. In social networks, actors often want to access databases depending upon their access rights, privacy, context, privileges, etc. Managing and handling knowledge based access of actors is complex and hard for which broad range of technologies need to be called. Access based on dynamic access rights and circumstances of actors impose major tasks on access systems. In this paper, we present an Access Mechanism for Social Networks (AMSN) to render access to actors over databases taking privacy and status of actors into consideration. The designed AMSN model is tested over an Agriculture Social Network (ASN) which utilises distinct access rights and privileges of actors related to the agriculture occupation, and provides access to actors over databases.

Scalable Preference Aggregation in Social Networks

In social choice theory, preference aggregation refers to computing an aggregate preference over a set of alternatives given individual preferences of all the agents. In real-world scenarios, it may not be feasible to gather preferences from all the agents. Moreover, determining the aggregate preference is computationally intensive. In this paper, we show that the aggregate preference of the agents in a social network can be computed efficiently and with sufficient accuracy using preferences elicited from a small subset of critical nodes in the network. Our methodology uses a model developed based on real-world data obtained using a survey on human subjects, and exploits network structure and homophily of relationships. Our approach guarantees good performance for aggregation rules that satisfy a property which we call expected weak insensitivity. We demonstrate empirically that many practically relevant aggregation rules satisfy this property. We also show that two natural objective functions in this context satisfy certain properties, which makes our methodology attractive for scalable preference aggregation over large scale social networks. We conclude that our approach is superior to random polling while aggregating preferences related to individualistic metrics, whereas random polling is acceptable in the case of social metrics.

Game theoretic, decentralized, local information based algorithm for community detection in social graphs

Motivated by the observation that communities in real world social networks form due to actions of rational individuals in networks, we propose a novel game theory inspired algorithm to determine communities in networks. The algorithm is decentralized and only uses local information at each node. We show the efficacy of the proposed algorithm through extensive experimentation on several real world social network data sets.

A Multi-phase Approach for Improving Information Diffusion in Social Networks

For maximizing influence spread in a social network, given a certain budget on the number of seed nodes, we investigate the effects of selecting and activating the seed nodes in multiple phases. In particular, we formulate an appropriate objective function for two-phase influence maximization under the independent cascade model, investigate its properties, and propose algorithms for determining the seed nodes in the two phases. We also study the problem of determining an optimal budget-split and delay between the two phases.

Accelerating Information Diffusion in Social Networks Under the Susceptible-Infected-Susceptible Epidemic Model

Standard Susceptible-Infected-Susceptible (SIS) epidemic models assume that a message spreads from the infected to the susceptible nodes due to only susceptible-infected epidemic contact. We modify the standard SIS epidemic model to include direct recruitment of susceptible individuals to the infected class at a constant rate (independent of epidemic contacts), to accelerate information spreading in a social network. Such recruitment can be carried out by placing advertisements in the media. We provide a closed form analytical solution for system evolution in the proposed model and use it to study campaigning in two different scenarios. In the first, the net cost function is a linear combination of the reward due to extent of information diffusion and the cost due to application of control. In the second, the campaign budget is fixed. Results reveal the effectiveness of the proposed system in accelerating and improving the extent of information diffusion. Our work is useful for devising effective strategies for product marketing and political/social-awareness/crowd-funding campaigns that target individuals in a social network.

Campaigning in Heterogeneous Social Networks: Optimal Control of SI Information Epidemics

We study the optimal control problem of maximizing the spread of an information epidemic on a social network. Information propagation is modeled as a susceptible-infected (SI) process, and the campaign budget is fixed. Direct recruitment and word-of-mouth incentives are the two strategies to accelerate information spreading (controls). We allow for multiple controls depending on the degree of the nodes/individuals. The solution optimally allocates the scarce resource over the campaign duration and the degree class groups. We study the impact of the degree distribution of the network on the controls and present results for Erdos-Renyi and scale-free networks. Results show that more resource is allocated to high-degree nodes in the case of scale-free networks, but medium-degree nodes in the case of Erdos-Renyi networks. We study the effects of various model parameters on the optimal strategy and quantify the improvement offered by the optimal strategy over the static and bang-bang control strategies. The effect of the time-varying spreading rate on the controls is explored as the interest level of the population in the subject of the campaign may change over time. We show the existence of a solution to the formulated optimal control problem, which has nonlinear isoperimetric constraints, using novel techniques that is general and can be used in other similar optimal control problems. This work may be of interest to political, social awareness, or crowdfunding campaigners and product marketing managers, and with some modifications may be used for mitigating biological epidemics.

Turnout Intention and Social Networks

How can networking affect the turnout in an election? We present a simple model to explain turnout as a result of a dynamic process of formation of the intention to vote within Erdös-Renyi random networks. Citizens have fixed preferences for one of two parties and are embedded in a given social network. They decide whether or not to vote on the basis of the attitude of their immediate contacts. They may simply follow the behavior of the majority (followers) or make an adaptive local calculus of voting (Downsian behavior). So they either have the intention of voting when the majority of their neighbors are willing to vote too, or they vote when they perceive in their social neighborhood that elections are "close". We study the long run average turnout, interpreted as the actual turnout observed in an election. Depending on the combination of values of the two key parameters, the average connectivity and the probability of behaving as a follower or in a Downsian fashion, the system exhibits monostability (zero turnout), bistability (zero turnout and either moderate or high turnout) or tristability (zero, moderate and high turnout). This means, in particular, that for a wide range of values of both parameters, we obtain realistic turnout rates, i.e. between 50% and 90%.

Altruism with Social Roots: An Emerging Literature

Revised: 2007-01.-- Published as an article in: Revista Desarrollo y Sociedad (2006), Semestre II, pp. 245-260.

Prosocial norms and degree heterogeneity in social networks

We provide empirical evidence to support the claims that social diversity promotes prosocial behavior. We elicit a real-life social network and its members’ adherence to a social norm, namely inequity aversion. The data reveal a positive relationship between subjects’ prosociality and several measures of centrality. This result is in line with the theoretical literature that relates the evolution of social norms to the structure of social interactions and argues that central individuals are crucial for the emergence of prosocial behavior.

Entre duas rodas e uma tela:a sociabilidade na rede social Tornadeiros

A partir do entendimento das novas possibilidades sociais permitidas pela Internet, este trabalho tem por objetivo investigar a sociabilidade em redes sociais virtuais a partir do desenvolvimento do capital social entre os membros integrantes destas redes. Buscamos compreender as motivações que possibilitam que as relações sociais sejam construídas e mantidas no e a partir do espaço virtual determinando os fatores que tornam tais relações materializadas no espaço offline. Para tal, realizamos um estudo de caso de uma rede social constituída por motociclistas, o site Tornadeiros. Logramos apreender, o contexto de interação entre os membros desta rede e de que modo o fortalecimento do capital social é propulsor do deslocamento das relações no ambiente virtual para o espaço urbano, determinando a sedimentação de vínculos afetivos entre os indivíduos, inicialmente previstos como banais e efêmeros, dado a lacuna espaço-temporal existente entre estes atores. Para explorar estas dimensões iniciamos o trabalho etnográfico no ciberespaço e posteriormente no espaço urbano. A etnografia no ciberespaço consistiu na aplicação de um questionário online para determinar o perfil dos membros da rede social e na compilação de todo conteúdo de postagens disponível na memória coletiva do site. Os dados compilados foram tratados posteriormente para determinar a topologia da rede de interações entre os membros. Deste material, selecionamos 17 discursos para estudo, articulando a análise dos discursos com as observações produzidas pelo grafo da rede de interações do site. Finalmente, no segundo momento etnográfico, nós confrontamos os resultados com as entrevistas presenciais, tornando possível perceber o estabelecimento e manutenção das relações sociais a partir do capital social desenvolvido nesta rede.

Rede e apoio social e práticas alimentares de crianças no quarto mês de vida

Cerca de 97% das crianças brasileiras iniciam a amamentação ao peito nas primeiras horas de vida. No entanto, o início do desmame é precoce, ocorrendo nas primeiras semanas ou meses de vida, com a introdução de água, chás, sucos, outros leites e alimentos. Fatores sociais, culturais, psicológicos e econômicos, ligados à mãe e ao bebê, podem estar relacionados a variações das práticas alimentares de crianças nos primeiros meses de vida. O objetivo do trabalho foi investigar a associação entre rede e apoio social e as práticas alimentares de lactentes no quarto mês de vida. Foi feito um estudo seccional inserido em uma coorte prospectiva, tendo como população fonte recém-nascidos acolhidos em Unidades Básicas de Saúde da Secretaria Municipal de Saúde do Rio de Janeiro. Para avaliar as práticas alimentares foi aplicado às mães (n=313) um recordatório 24h adaptado e foram construídos dois indicadores considerando o consumo de alimentos sólidos e da alimentação láctea. Para medir rede social foram feitas perguntas relacionadas ao número de parentes e amigos com quem a mulher pode contar e à participação em atividades sociais em grupo. Para aferir apoio social foi utilizada uma escala utilizada no Medical Outcomes Study (MOS) e adaptada para uso no Brasil. A análise dos dados se baseou em modelos de regressão logística multinomial, estimando-se razões de chance e respectivos intervalos de 95% de confiança para as associações entre as variáveis. Observou-se 16% dos lactentes em aleitamento materno exclusivo (AME), 18,8% em aleitamento materno predominante (AMP), aproximadamente 48% em uso de leite materno associado a outros alimentos e 16,5% em aleitamento artificial. Em relação ao aleitamento complementar, 25,9% consumiam alimentos sólidos e 37,5% alimentos lácteos. Crianças filhas de mães que referiram menor número de parentes com quem contar e com baixo apoio social apresentaram maior chance de estar em aleitamento artificial em relação ao AME, quando comparadas com filhas de mães que referiram poder contar com parentes ou com nível alto de apoio social. O baixo apoio social nas dimensões emocional/informação apresentou associação com AMP. Tendo em vista os achados apresentados, destaca-se a necessidade de integrar os membros da rede social da mulher à atenção pré-natal, ao parto e puerpério de modo que esta rede possa prover o apoio social que atenda as suas necessidades e, assim, contribuir para iniciação e manutenção do AME.

Plan de Social Media Marketing en Euskaltel

El presente estudio es un Plan de Social Media Marketing realizado para la empresa Euskaltel, compañía telefónica líder en el País Vasco. Este plan está elaborado para que se ponga en funcionamiento a partir de Septiembre del 2015. El Plan de Social Media Marketing se concreta en una serie de aspectos que se deben tener en cuenta para la puesta en marcha de una estrategia de integración de redes sociales y acciones de marketing digital por parte de la empresa. Una de las principales características del Plan de Social Media Marketing en comparación con otros planes empresariales es su flexibilidad y su disposición para ser rediseñado incluso al día siguiente de ser implantado