Development of Socio-Economic Behaviour and Attitudes of Baltic Nationalities: Perspectives for Integration with Europe

This project is the third stage of a comparative research project, The New Baltic Barometer, which was carried out simultaneously with the "New Democracies Barometer" of the Paul Lazerfeld Society (Vienna) and The Russian Barometer. It studied the opinion and behaviour of the largest Baltic ethnic groups (Estonians, Latvians, Lithuanians). The main focus was on the attitudes of Baltic residents towards the changes in the economic and political system, attitudes towards political values, political trust, and attitudes to the Baltic countries joining the European Union. An analysis of macroeconomic indicators of the Baltic states made it possible to deduce the link between the country's economic development, and satisfaction with the political regime and attitudes towards democratic values. The study analysed the conditions for the democratisation of society, i.e. the development of culture and public opinion in the Baltic states. Attention was also paid to the development of a social network of individuals, showing the transition from informal networks to impersonal institutions. The group concluded that the participation of residents in formal organisations, NGOs in particular, considerably fosters political trust and also increases political efficacy. Participation in formal organisations also reduces the importance of esteem for an authoritarian leader.

SNA--a toolbox for the stoichiometric analysis of metabolic networks

BACKGROUND: Despite recent algorithmic and conceptual progress, the stoichiometric network analysis of large metabolic models remains a computationally challenging problem. RESULTS: SNA is a interactive, high performance toolbox for analysing the possible steady state behaviour of metabolic networks by computing the generating and elementary vectors of their flux and conversions cones. It also supports analysing the steady states by linear programming. The toolbox is implemented mainly in Mathematica and returns numerically exact results. It is available under an open source license from: http://bioinformatics.org/project/?group_id=546. CONCLUSION: Thanks to its performance and modular design, SNA is demonstrably useful in analysing genome scale metabolic networks. Further, the integration into Mathematica provides a very flexible environment for the subsequent analysis and interpretation of the results.

Health risk appraisal in older people 3: prevalence, impact, and context of pain and their implications for GPs

BACKGROUND: Pain is a common experience in later life. There is conflicting evidence of the prevalence, impact, and context of pain in older people. GPs are criticised for underestimating and under-treating pain. AIM: To assess the extent to which older people experience pain, and to explore relationships between self-reported pain and functional ability and depression. DESIGN OF STUDY: Secondary analysis of baseline data from a randomised controlled trial of health risk appraisal. SETTING: A total of 1090 community-dwelling non-disabled people aged 65 years and over were included in the study from three group practices in suburban London. METHOD: Main outcome measures were pain in the last 4 weeks and the impact of pain, measured using the 24-item Geriatric Pain Measure; depression symptoms captured using the 5-item Mental Health Inventory; social relationships measured using the 6-item Lubben Social Network Scale; Basic and Instrumental Activities of Daily Living and self-reported symptoms. RESULTS: Forty-five per cent of women and 34% of men reported pain in the previous 4 weeks. Pain experience appeared to be less in the 'oldest old': 27.5% of those aged 85 years and over reported pain compared with 38-53% of the 'younger old'. Those with arthritis were four times more likely to report pain. Pain had a profound impact on activities of daily living, but most of those reporting pain described their health as good or excellent. Although there was a significant association between the experience of pain and depressed mood, the majority of those reporting pain did not have depressed mood. CONCLUSION: A multidimensional approach to assessing pain is appropriate. Primary care practitioners should also assess the impact of pain on activities of daily living.

MODULARITY BASED FUZZY COMMUNITY DETECTION IN SOCIAL NETWORKS

Fuzzy community detection is to identify fuzzy communities in a network, which are groups of vertices in the network such that the membership of a vertex in one community is in [0,1] and that the sum of memberships of vertices in all communities equals to 1. Fuzzy communities are pervasive in social networks, but only a few works have been done for fuzzy community detection. Recently, a one-step forward extension of Newman’s Modularity, the most popular quality function for disjoint community detection, results into the Generalized Modularity (GM) that demonstrates good performance in finding well-known fuzzy communities. Thus, GMis chosen as the quality function in our research. We first propose a generalized fuzzy t-norm modularity to investigate the effect of different fuzzy intersection operators on fuzzy community detection, since the introduction of a fuzzy intersection operation is made feasible by GM. The experimental results show that the Yager operator with a proper parameter value performs better than the product operator in revealing community structure. Then, we focus on how to find optimal fuzzy communities in a network by directly maximizing GM, which we call it Fuzzy Modularity Maximization (FMM) problem. The effort on FMM problem results into the major contribution of this thesis, an efficient and effective GM-based fuzzy community detection method that could automatically discover a fuzzy partition of a network when it is appropriate, which is much better than fuzzy partitions found by existing fuzzy community detection methods, and a crisp partition of a network when appropriate, which is competitive with partitions resulted from the best disjoint community detections up to now. We address FMM problem by iteratively solving a sub-problem called One-Step Modularity Maximization (OSMM). We present two approaches for solving this iterative procedure: a tree-based global optimizer called Find Best Leaf Node (FBLN) and a heuristic-based local optimizer. The OSMM problem is based on a simplified quadratic knapsack problem that can be solved in linear time; thus, a solution of OSMM can be found in linear time. Since the OSMM algorithm is called within FBLN recursively and the structure of the search tree is non-deterministic, we can see that the FMM/FBLN algorithm runs in a time complexity of at least O (n2). So, we also propose several highly efficient and very effective heuristic algorithms namely FMM/H algorithms. We compared our proposed FMM/H algorithms with two state-of-the-art community detection methods, modified MULTICUT Spectral Fuzzy c-Means (MSFCM) and Genetic Algorithm with a Local Search strategy (GALS), on 10 real-world data sets. The experimental results suggest that the H2 variant of FMM/H is the best performing version. The H2 algorithm is very competitive with GALS in producing maximum modularity partitions and performs much better than MSFCM. On all the 10 data sets, H2 is also 2-3 orders of magnitude faster than GALS. Furthermore, by adopting a simply modified version of the H2 algorithm as a mutation operator, we designed a genetic algorithm for fuzzy community detection, namely GAFCD, where elite selection and early termination are applied. The crossover operator is designed to make GAFCD converge fast and to enhance GAFCD’s ability of jumping out of local minimums. Experimental results on all the data sets show that GAFCD uncovers better community structure than GALS.

The relationship between pain intensity and severity and depression in older people: exploratory study

BACKGROUND: Pain and depression are known to be associated in later life, and both have a negative effect on physical performance both separately and in combination. The nature of the relationships between pain intensity and depression in elderly persons experiencing pain is less clear. The objectives of this study were to explore which factors are associated with depressed mood in older people experiencing pain, and to test the hypothesis that older people experiencing pain are at risk of depressed mood according to the severity or frequency of their pain. In addition we explored whether other potentially modifiable factors might increase the risk of depressed mood in these persons. METHODS: The study is a secondary analysis of baseline data for four hundred and six community-dwelling non-disabled people aged 65 and over registered with three group practices in suburban London who had experienced pain in the past 4 weeks. Intensity and frequency of pain was measured using 24 item Geriatric Pain Measure (GPM) and the presence of depressive symptoms using the 5 item Mental Health Inventory. Risk for social isolation was measured using the 6 item Lubben Social Network scale and instrumental activities of daily living (IADL) were also measured. RESULTS: Overall 76 (19%) had depressed mood. Pain frequency and severity were not statistically significantly associated with depressed mood in this population. In multivariate analyses, significant predictors of the presence of depressive symptoms were difficulties with basic ADLs (OR 2.8, 95% CI 1.1.7.8), risk for social isolation (OR 4.1, 95% CI 1.8-9.3), and basic education only (OR 2.2, 95% CI 1.1-4.4). CONCLUSION: Older people experiencing pain are also likely to experience depression. Among those experiencing pain, social network and functional status seem to be more important predictors of depressive symptoms than the severity of pain. Further studies should evaluate whether improvement of social network and functional status might reduce depressive symptoms in older patients.

Running Head: Social Work Developments in Lithuania

Following the end of a half-century of Soviet occupation, Lithuania, like other former Soviet republics, has been in socio-economic disorder. Now that Lithuania is free, the system of social welfare is characterized by under-funded health services and pensions, and a large number of institutions. Semi-structured interviews were conducted with students and practitioners focusing on community development, using Lofland’s model of social setting analysis.Results indicate that the collaborative efforts successfully produced a revolutionary and successful social service program, a multi-generational living facility offering full-time social services to unwed mothers, infants, and elderly residents.This article is based upon the qualitative study of social work practitioners and social work students and chronicles the successes and difficulties encountered within the process of community development.

Management Research on Reciprocity: A Review of the Literature

Although reciprocity is fundamental to all social orders, management research offers few reviews of the concept’s theoretical origins and current applications. To help bridge this gap, we elucidate the dominant understandings of reciprocity, ask which areas of research emerge from them, and explore how they interconnect. Our bibliometric methodology detects four clusters of management research on reciprocity. Across these clusters, authors subscribe mainly to substantialist ontology, marginalize morally oriented motives consistent with relational ontology, and largely assume that benefit-oriented motives underlie reciprocity. We outline the advantages of a moral-oriented relationalist concept of reciprocity and discuss potential areas for its development in management research.

Leveraging Trust and Privacy Concerns in Online Social Networks: an Empirical Study

Unprecedented success of Online Social Networks, such as Facebook, has been recently overshadowed by the privacy risks they imply. Weary of privacy concerns and unable to construct their identity in the desired way, users may restrict or even terminate their platform activities. Even though this means a considerable business risk for these platforms, so far there have been no studies on how to enable social network providers to address these problems. This study fills this gap by adopting a fairness perspective to analyze related measures at the disposal of the provider. In a Structural Equation Model with 237 subjects we find that ensuring interactional and procedural justice are two important strategies to support user participation on the platform.

Privacy Calculus on Social Networking Sites: Explorative Evidence from Germany and USA

Worldwide social networks, like Facebook, face fierce competition from local platforms when expanding globally. To remain attractive social network providers need to encourage user self-disclosure. Yet, little research exists on how cultural differences impact selfdisclosure on these platforms. Addressing this gap, this study explores the differences in perceptions of disclosure-relevant determinants between German and US users. Survey of Facebook members indicates that German users expect more damage and attribute higher probability to privacy-related violations. On the other hand, even though American users show higher level of privacy concern, they extract more benefits from their social networking activities, have more trust in the service provider and legal assurances as well as perceive more control. These factors may explain a higher level of self-disclosure indicated by American users. Our results provide relevant insights for the social network providers who can adjust their expansion strategy with regard to cultural differences.

The Spanish variety of Malaga: From real to mental to virtual speech

Internet has affected our lives and society in manifold ways, and partly, in fundamental ways. Therefore, it is no surprise that one of the affected areas is language and communication itself. Over the last few years, online social networks have become a widespread and continuously expanding medium of communication. Being a new medium of social interaction, online social networks produce their own communication style, which in many cases differs considerably from real speech and is also perceived differently. The focus of analysis of my PhD thesis is how social network users from the city of Malaga create this virtual style by means of phonic features typical of the Andalusian variety of Spanish and how the users’ language attitude has an influence on the use of these phonic features. The data collection was fourfold: 1) a main corpus was compiled from 240 informants’ utterances on Facebook and Tuenti; 2) a corpus constituted of broad transcriptions of recordings with 120 people from Malaga served as a comparison; 3) a survey in which 240 participants rated the use of said phonetic variants on the following axes: “good–bad”, “correct–incorrect” and “beautiful–ugly” was carried out; 4) a survey with 240 participants who estimated with which frequency the analysed features are used in Malaga was conducted. For the analysis, which is quantitative and qualitative, ten variables were chosen. Results show that the studied variants are employed differently in virtual and real speech depending on how people perceive these variants. In addition, the use of the features is constrained by social factors. In general, people from Malaga have a more positive attitude towards non-­‐standard features if they are used in virtual speech than in real speech. Thus, virtual communication is seen as a style serving to create social meaning and to express linguistic identity. These stylistic practices reflect an amalgam of social presuppositions about usage conventions and individual strategies for handling a new medium. In sum, the virtual style is an initiative deliberately taken by the users, to create their, real and virtual, identities, and to define their language attitudes towards the features of their variety of speech.

The role of commercial actors in snowboarding

Commercial actors play an essential role in the organisational structure of snowboarding by sponsoring athletes, arranging events, contributing to product development and developing long-term partnerships with other key actors. However, the particularities of their role in the alternative sports cultures which are related to brand marketing strategies have not been extensively researched. Based on Hitzler and Niederbachers (2010) framework of social scenes, Stegbauers (2008) social network and Adjouri and Stastnys (2006) branding theories, analysis is carried out using an ethnographic approach. This includes participant observation of relevant events and semi-structured interviews with over forty key actors of the sport to examine the roles and activities of core actors within snowboarding. The findings reveal that brands have gained an important position within the scene; where they can build partnerships with other core and periphery actors in order to market particularly identities, lifestyles and products. This contributes to the development of a sport which is dependent on brands for its continuity. By using promotional strategies of sponsoring athletes, organising events and feeding media with scene-related content, the aesthetical values of the snowboarding sport are communicated and transferred, while ensuring exposure of the brand’s image and lifestyle. Social contacts as well as knowledge on particularities of the sport allow the commercial actors to gain an influential position and identity within the snowboarding core culture. Keywords: commercial actors, alternative sport cultures, social networks, brands, snowboarding References Adjouri, N. & Stastny, P. (2006). Sport-Branding: Mit Sport-Sponsoring zum Markenerfolg. Wiesbaden: Gabler. Hitzler, R. & Niederbacher, A. (2010). Leben in Szenen: Formen juveniler Vergemeinschaftung heute. Wiesbaden: VS Verlag für Sozialwissenschaften. Stegbauer, C. (2008). Netzwerkanalyse und Netzwerktheorie. Ein neues Paradigma in den Sozialwissenschaften. Wiesbaden: VS Verlag für Sozialwissenschaften.

The structural substrate of brain function: analysis of brain structural networks based on diffusion-weighted imaging

The brain is a complex neural network with a hierarchical organization and the mapping of its elements and connections is an important step towards the understanding of its function. Recent developments in diffusion-weighted imaging have provided the opportunity to reconstruct the whole-brain structural network in-vivo at a large scale level and to study the brain structural substrate in a framework that is close to the current understanding of brain function. However, methods to construct the connectome are still under development and they should be carefully evaluated. To this end, the first two studies included in my thesis aimed at improving the analytical tools specific to the methodology of brain structural networks. The first of these papers assessed the repeatability of the most common global and local network metrics used in literature to characterize the connectome, while in the second paper the validity of further metrics based on the concept of communicability was evaluated. Communicability is a broader measure of connectivity which accounts also for parallel and indirect connections. These additional paths may be important for reorganizational mechanisms in the presence of lesions as well as to enhance integration in the network. These studies showed good to excellent repeatability of global network metrics when the same methodological pipeline was applied, but more variability was detected when considering local network metrics or when using different thresholding strategies. In addition, communicability metrics have been found to add some insight into the integration properties of the network by detecting subsets of nodes that were highly interconnected or vulnerable to lesions. The other two studies used methods based on diffusion-weighted imaging to obtain knowledge concerning the relationship between functional and structural connectivity and about the etiology of schizophrenia. The third study integrated functional oscillations measured using electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) as well as diffusion-weighted imaging data. The multimodal approach that was applied revealed a positive relationship between individual fluctuations of the EEG alpha-frequency and diffusion properties of specific connections of two resting-state networks. Finally, in the fourth study diffusion-weighted imaging was used to probe for a relationship between the underlying white matter tissue structure and season of birth in schizophrenia patients. The results are in line with the neurodevelopmental hypothesis of early pathological mechanisms as the origin of schizophrenia. The different analytical approaches selected in these studies also provide arguments for discussion of the current limitations in the analysis of brain structural networks. To sum up, the first studies presented in this thesis illustrated the potential of brain structural network analysis to provide useful information on features of brain functional segregation and integration using reliable network metrics. In the other two studies alternative approaches were presented. The common discussion of the four studies enabled us to highlight the benefits and possibilities for the analysis of the connectome as well as some current limitations.

Ethnography of a Land-Deal. Local Perceptions and Vertical Perspectives of a Large Scale Land Acquisition Project in Northern Sierra Leone

Despite an increased scientific interest in the relatively new phenomenon of large-scale land acquisition (LSLA), data on processes on the local level remain sparse and superficial. However, knowledge about the concrete implementation of LSLA projects and the different impacts they have on the heterogeneous group of project affected people is indispensable for a deepened understanding of the phenomenon. In order to address this research gap, a team of two anthropologists and a human geographer conducted in-depth fieldwork on the LSLA project of Swiss based Addax Bioenergy in Sierra Leone. After the devastating civil war, the Sierra Leonean government created favourable conditions for foreign investors willing to lease large areas of land and to bring “development” to the country. Being one of the numerous investing companies, Addax Bioenergy has leased 57’000 hectares of land to develop a sugarcane plantation and an ethanol factory to produce biofuel for the export to the European market. Based on participatory observation, qualitative interview techniques and a network analysis, the research team aimed a) at identifying the different actors that were necessary for the implementation of this project on a vertical level and b) exploring various impacts of the project in the local context of two villages on a horizontal level. The network analysis reveals a complex pattern of companies, institutions, nongovernmental organisations and prominent personalities acting within a shifting technological and discursive framework linking global scales to a unique local context. Findings from the latter indicate that affected people initially welcomed the project but now remain frustrated since many promises and expectations have not been fulfilled. Although some local people are able to benefit from the project, the loss of natural resources that comes along with the land lease affects livelihoods of vulnerable groups – especially women and land users – considerably. However, this research doesn’t only disclose impacts on local people’s previous lives but also addresses strategies they adopt in the newly created situation that has opened up alternative spaces for renegotiations of power and legitimatisation. Therewith, this explorative study reveals new aspects of LSLA that have not been considered adequately by the investing company nor by the general academic discourse on LSLA.

Network Dynamics in Natural Resource Governance: A Case Study of Swiss Landscape Management

Structural characteristics of social networks have been recognized as important factors of effective natural resource governance. However, network analyses of natural resource governance most often remain static, even though governance is an inherently dynamic process. In this article, we investigate the evolution of a social network of organizational actors involved in the governance of natural resources in a regional nature park project in Switzerland. We ask how the maturation of a governance network affects bonding social capital and centralization in the network. Applying separable temporal exponential random graph modeling (STERGM), we test two hypotheses based on the risk hypothesis by Berardo and Scholz (2010) in a longitudinal setting. Results show that network dynamics clearly follow the expected trend toward generating bonding social capital but do not imply a shift toward less hierarchical and more decentralized structures over time. We investigate how these structural processes may contribute to network effectiveness over time.

Las redes étnicas en la emigración : los gallegos en Buenos Aires

En este trabajo analizaremos los lazos sociales mantenidos y generados por los inmigrantes gallegos en el Buenos Aires tardo colonial, con otros familiares y paisanos instalados en la capital virreinal o en la tierra natal. Tomaremos en consideración los aportes del Análisis de Redes a los estudios migratorios y a partir de ello identificaremos las redes étnicas y los mecanismos sociales que las activaron. Nos basaremos en un conjunto variado de fuentes (las actas matrimoniales, las sucesiones testamentarias, los padrones de habitantes y expedientes varios localizados en el Archivo General de la Nación Argentina) que nos permitirán examinar las diferentes vías (el ejercicio comercial, los matrimonios, el temprano asociacionismo, las disposiciones testamentarias, entre otras) a través de las cuales los inmigrantes establecieron los contactos sociales en cuestión. De este modo, constataremos el componente afectivo e identificatorio que pudo orientar los lazos étnicos y su importante funcionalidad instrumental, en un contexto donde el inmigrante necesitaba garantizar su integración en la sociedad de acogida. El estudio también pondrá de manifiesto que, sin llegar a constituirse en un “grupo cerrado", los oriundos de Galicia reforzaron sus vínculos entre sí, cuando fue posible.