Progettazione e realizzazione di un'applicazione social georeferenziata per dispositivi android

In questo lavoro di tesi abbiamo ideato e implementato un nuovo social network combinando in una sola applicazione per dispositivi mobili alcune nuove idee con altre già esistenti, ma ancora poco sviluppate. Dopo aver analizzato le app attualmente esistenti, si sono definite le caratteristiche dell'applicazione che si vuole creare, traendo ispirazione da Snapchat, Foursquare e Whisper. L'obiettivo è un'applicazione che permette agli utenti di inviare messaggi con testo e immagini geotaggati sulla loro posizione. Essi saranno anonimi, dato che gli utenti avranno la possibilità di creare e utilizzare facilmente più identità. I messaggi potranno essere votati e commentati e avranno una durata definita dall'autore, dopo di che si autodistruggeranno. Tutti i messaggi saranno visibili su una mappa che li mostrerà nel punto in cui l'autore si trovava quando li ha inviati. Gli utenti riceveranno una notifica per i nuovi messaggi inviati nelle loro vicinanze. I primi mesi di lavoro sul progetto sono stati dedicati al perfezionamento dell'idea originale e alla realizzazione della parte server. In questa fase è stato acquisito e configurato un Virtual Private Server, è stato progettato e creato il database MySql, ed è stata implementata la logica applicativa lato server in PHP. Successivamente, ci si è concentrati sulla progettazione e realizzazione dell'applicazione stessa, scegliendo la piattaforma Android e programmando in linguaggio Java. In questa fase si è definita e implementata l'interfaccia utente e la logica applicativa lato client. Giunti ad un buon livello di sviluppo, si è cominciato a distribuire limitatamente una versione alpha dell'applicazione per ottenere feedback dagli utenti, soprattutto riguardanti l'usabilità. La seguente tesi descrive in dettaglio l'idea di partenza, l'architettura del progetto e le funzionalità realizzate, per concludersi con una previsione degli sviluppi futuri. Vi è inoltre in allegato il codice sorgente dell'applicazione Android realizzata.

Analisi del comportamento e dello stato d'animo di pazienti malati del Morbo di Crohn tramite social networks

Al giorno d'oggi una pratica molto comune è quella di eseguire ricerche su Google per cercare qualsiasi tipo di informazione e molte persone, con problemi di salute, cercano su Google sintomi, consigli medici e possibili rimedi. Questo fatto vale sia per pazienti sporadici che per pazienti cronici: il primo gruppo spesso fa ricerche per rassicurarsi e per cercare informazioni riguardanti i sintomi ed i tempi di guarigione, il secondo gruppo invece cerca nuovi trattamenti e soluzioni. Anche i social networks sono diventati posti di comunicazione medica, dove i pazienti condividono le loro esperienze, ascoltano quelle di altri e si scambiano consigli. Tutte queste ricerche, questo fare domande e scrivere post o altro ha contribuito alla crescita di grandissimi database distribuiti online di informazioni, conosciuti come BigData, che sono molto utili ma anche molto complessi e che necessitano quindi di algoritmi specifici per estrarre e comprendere le variabili di interesse. Per analizzare questo gruppo interessante di pazienti gli sforzi sono stati concentrati in particolare sui pazienti affetti dal morbo di Crohn, che è un tipo di malattia infiammatoria intestinale (IBD) che può colpire qualsiasi parte del tratto gastrointestinale, dalla bocca all'ano, provocando una grande varietà di sintomi. E' stato fatto riferimento a competenze mediche ed informatiche per identificare e studiare ciò che i pazienti con questa malattia provano e scrivono sui social, al fine di comprendere come la loro malattia evolve nel tempo e qual'è il loro umore a riguardo.

Ago e filo 3.0: quali opportunità di business per l'artigianato locale con l'evoluzione dei social? C'è ancora spazio e visibilità per loro?

Con l’evoluzione dei social network e degli strumenti del 2.0 (blog, wiki, forum), internet si avvia verso nuove forme di business cui artigiani e pmi possono sfruttare per nuove opportunità, unendo social network e e-commerce e capire come si è evoluto il processo di creazione e finanziamento di un prodotto. La tesi è un viaggio per scoprire quali sono queste nuove opportunità per chi pratica artigianato a livello locale, e come è cambiata la figura stessa dell’artigiano, tra questi un nuovo movimento chiamato makers, che sfruttano i nuovi strumenti, tra cui anche mezzi rivoluzionari come la stampante 3D ora accessibile a tutti per creare oggetti e nuove idee. Sarà necessario capire quali sono le vetrine online dove e come poter vendere i nostri prodotti e profilare attraverso una segmentazione l’utente medio che già utilizza il social-commerce. In seguito si tratta il caso empirico di una start-up italiana, Blomming, una dei primi a differenziarsi dagli altri marketplace più famosi come contenitore adatto ad artigiani, ma non solo. Si seguiranno le varie fasi di crescita da un’idea, introduzione nel mercato fino alla direzione a cui si sta avviando con le ultime novità effettuando un’analisi dei rischi. Infine per capire tendenze e storie di chi sta già usando queste piattaforme è stato necessario fare un profilo dell’artigiano fai-da-te medio intervistando, e successivamente creando grafici, 100 artigiani che già vendono online.

Metadati e integrazioni social nel web odierno

Il presente progetto di tesi è stato sviluppato per presentare un esempio concreto di come sia possibile sfruttare le potenzialità ottenibili inserendo, all'interno di un sito web, il markup Open Graph Protocol per la definizione, tramite l’utilizzo di metadati, di concetti semanticamente ricchi e interpretabili dai principali Social Network ed integrando le Graph API Facebook per interrogare questi dati e sfruttarli per il funzionamento stesso del sito.

Applicazione smartphone Social Time Machine

La prima parte del documento contiene una breve introduzione al mondo mobile, cloud computing e social network. La seconda parte si concentra sulla progettazione di un'applicazione per i dispositivi mobili usando le tecnologie Facebook e Parse. Infine, viene implementata un'applicazione Android usando le techiche descritte in precedenza.

ArtMap geo-social street art

Il progetto ArtMap! mette a disposizione un applicativo user, destinato agli utenti, che tramite una struttura a social network, propone una mappatura globale di street art. Viene messo a disposizione un archivio di informazioni, aggiornate direttamente dagli utenti, relative a opere ed artisti e la possibilità di creare itinerari personali. Inoltre, è stato sviluppato un applicativo di supporto per la convalidazione delle informazioni inserite dagli utenti, destinato ai gestori del database di informazioni.

Trust and Social Networks in a Changing Europe.

This project set out to investigate the effects of the recent massive social transitions in Eastern Europe on the everyday social lives of the inhabitants of three very different nations: Georgia, Russia and Hungary. It focused in particular on the availability and nature of the support networks available to three different segments of each of the societies (manual workers, students and entrepreneurs) and the impact of network participation on psychological and physical well-being. The group set four specific questions to investigate: the part played by individual psychological beliefs in the formation and maintenance of social networks and the consequent formation of trusting relations; the implication of the size and quality of these networks for mental health; the nature of the social groups inhabited by the respondents and the implication of their work schedule and daily routines on the maintenance of a social and family life; and an analysis of how cultures vary in their social networks and intimacy. Three different methods were used to examine social support and its implications: structured questionnaires, semi-structured short interviews and a media analysis of newspaper materials. The questionnaires were administered to 150 participants in each country, equally divided between students studying full time, manual workers employed in factories, and business people (small kiosk owners, whose work and life style differs considerably from that of the manual workers). The questionnaires investigated various predictors of social support including the locus of control, relationship beliefs, individualism-collectivism and egalitarianism, demographic variables (age, gender and occupation), social support, both in general and in relation to significant events that have occurred since the transition from communism. Those with an internal locus of control were more likely to report a higher level of social support, as were collectivists, while age too was a significant predictor, with younger respondents enjoying higher levels of support, regardless of the measures of support employed. Respondents across the cultures referred to a decline of social support and the group also found a direct correlation between social support and mental health outcomes. All 450 respondents were interviewed on their general responses to changes in their lives since the fall of communism and the effects of their work lives on their social lives and the home environment. The interviews revealed considerable variations in the way in which work-life offered opportunities for a broader social life and also provided a hindrance to the development of fulfilling relationships. Many of the work experiences discussed were culture specific, with work having a particularly negative impact on the social life of Russian entrepreneurs but being seen much more positively in Georgia. This may reflect the nature of support offered in a society as overall support levels were lowest in Russia, meaning that social support may be of particular importance there. The way in cultural values and norms about personal relationships are transmitted in a culture is a critical issue for social psychologists and the group examined newspaper articles in those newspapers read by the respondents in each of the three countries. These revealed a number of different themes. The concept of a divided society and its implications for personal relationships was clearest in Russian and Hungary, where widely-read newspapers dwelt on the contrast between "new Russians/Hungarians" and the older, poorer ones and extended considerable sympathy to those suffering from neglect in institutions. Magyar Nemzet, a paper widely read by Hungarian students reflects the generally more pessimistic tone about personal relationships in Russia and Hungary and gave a particularly detailed analysis of the implications this holds for human relations in a modern society. In Georgia, however, the tone of the newspapers is more positive, stressing greater social cohesion. Part of this cohesion is framed in the context of religion, with the church appealing to a broader egalitarianism, whereas in less egalitarian Hungary appeals by the Church are centred more on the nuclear family and its need for expansion in both size and influence. The division between the sexes was another prominent issue in Hungary and Russia, while the theme of generational conflict also emerged in Hungarian and Georgian papers, although with some understanding of "young people today". The team's original expectation that the different newspapers read by the different groups of respondents would present differing images of personal relationships was not fulfilled, as despite variations in style, they found little clear "ideological targeting" of any particular readership. They conclude that the vast majority of respondents recognised that the social transition from communism has had a significant impact on the well-being of social relationships and that this is a pertinent issue for all segments of society. While the group see the data collected as a source to be worked on for some time in the future, their initial impressions include the following. Social support is clearly an important concern across all three countries. All respondents (including the students) lament the time taken up by their heavy work schedules and value their social networks and family ties in particular. The level of social support differs across the countries investigated, with Georgian apparently enjoying significantly higher levels of social support. The analysis produced an image of a relatively cohesive and egalitarian society in which even the group most often seen as distant from the general population, business people, is supported by a strong social network. In contrast, the support networks available to the Russian respondents seem particularly weak and reflect a general sense of division and alienation within the culture as a whole. The implications of low levels of social support may vary across countries. While Russians reported the lowest level of mental health problems, the link between social support and mental health may be strongest in that country. In contrast, in Hungary it is the link between fatalism and mental health problems which is particularly strong, while in Georgia the strongest correlation was between mental health and marital quality, emphasising the significance of the marital relationship in that country.

Health risk appraisal in older people 2: the implications for clinicians and commissioners of social isolation risk in older people

BACKGROUND: Social isolation is associated with poorer health, and is seen by the World Health Organisation (WHO) as one of the major issues facing the industrialised world. AIM: To explore the significance of social isolation in the older population for GPs and for service commissioners. DESIGN OF STUDY: Secondary analysis of baseline data from a randomised controlled trial of health risk appraisal. SETTING: A total of 2641 community-dwelling, non-disabled people aged 65 years and over in suburban London. METHOD: Demographic details, social network and risk for social isolation based on the 6-item Lubben Social Network Scale, measures of depressed mood, memory problems, numbers of chronic conditions, medication use, functional ability, self-reported use of medical services. RESULTS: More than 15% of the older age group were at risk of social isolation, and this risk increased with advancing age. In bivariate analyses risk of social isolation was associated with older age, education up to 16 years only, depressed mood and impaired memory, perceived fair or poor health, perceived difficulty with both basic and instrumental activities of daily living, diminishing functional ability, and fear of falling. Despite poorer health status, those at risk of social isolation did not appear to make greater use of medical services, nor were they at greater risk of hospital admission. Half of those who scored as at risk of social isolation lived with others. Multivariate analysis showed significant independent associations between risk of social isolation and depressed mood and living alone, and weak associations with male sex, impaired memory and perceived poor health. CONCLUSION: The risk of social isolation is elevated in older men, older persons who live alone, persons with mood or cognitive problems, but is not associated with greater use of services. These findings would not support population screening for individuals at risk of social isolation with a view to averting service use by timely intervention. Awareness of social isolation should trigger further assessment, and consideration of interventions to alleviate social isolation, treat depression or ameliorate cognitive impairment.

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.

Social Networks Analysis

This morning Dr. Risser will introduce you to the basic ideas of social network analysis. You will learn some history behind the study of social networks. Dr. Risser will introduce you to mathematical measures of social networks including centrality measures and measures of spread and cohesion. You will also learn how to use a computer program to analyze social network data

Cognition or Affect? - Exploring Information Processing on Facebook

Recognizing the increasing amount of information shared on Social Networking Sites (SNS), in this study we aim to explore the information processing strategies of users on Facebook. Specifically, we aim to investigate the impact of various factors on user attitudes towards the posts on their Newsfeed. To collect the data, we program a Facebook application that allows users to evaluate posts in real time. Applying Structural Equation Modeling to a sample of 857 observations we find that it is mostly the affective attitude that shapes user behavior on the network. This attitude, in turn, is mainly determined by the communication intensity between users, overriding comprehensibility of the post and almost neglecting post length and user posting frequency.

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.

How involved are they really? A comparative network analysis of the institutional drivers of local actor inclusion

Different socio-economic and environmental drivers lead local communities in mountain regions to adapt land use practices and engage in protection policies. The political system also has to develop new approaches to adapt to those drivers. Local actors are the target group of those policy approaches, and the question arises of if and how much those actors are consulted or even integrated into the design of local land use and protection policies. This article addresses this question by comparing seven different case studies in Swiss mountain regions. Through a formal social network analysis, the inclusion of local actors in collaborative policy networks is investigated and compared to the involvement of other stakeholders representing the next higher sub-national or national decisional levels. Results show that there is a significant difference (1) in how local actors are embedded compared to other stakeholders; and (2) between top-down versus bottom-up designed policy processes.