1,721,122 research outputs found
Introduzione
No full textLa tendenza, ormai consolidata, di considerare il territorio come un complesso sistema adattivo comporta difficoltà sia nel generalizzare modelli e approcci di gestione che nel valutarne risultati ed effetti. In tale ottica, è proprio l'attributo di "complessità" del territorio che ha stimolato maggiormente l'adozione di un approccio multidisciplinare nella conduzione delle due indagini commissionate ai ricercatori del Centro Interdipartimentale per la diffusione delle Scienze Umane e Sociali e per la costruzione di capitale umano (CISUS) dell'Università degli Studi di Salerno. I due studi, condotti nei comuni del GAL Irpinia, hanno avuto un duplice obiettivo: da un lato, la definizione delle dimensioni storiche, sociali ed economiche che caratterizzano la vocazione degli antichi mestieri e dell'artigianato artistico, dall'altro la descrizione dei tratti salienti che contraddistinguono il settore economico legato al benessere psicofisico in tale territorio. Il percorso di ricerca descritto nel volume ha consentito di far emergere processi di spoliazione, modificazione e/o adattamento di saperi ponendosi come base per una più adeguata azione dell'ars aedificandi del territorio irpino, con l'obiettivo di definire le condizioni in base alle quali creare i presupposti per la riappropriazione individuale e collettiva di saperi, memorie e culture locali. Un territorio considerato anche come uno "spazio semantico", in grado di esprimere segni, simboli e valori culturali che, in un'ottica sistemica, rappresentano condizioni di comunanza con gli interlocutori locali: i due studi consegnano così al lettore un insieme di indicazioni per creare un modello di sviluppo consapevole e sostenibile del territorio irpino
Religiosità e valori tra i giovani irpini.
No full textCon i giovani dell’Alta Irpinia...Un’indagine
Co-authorship networks and scientific performance. Evidences from a case study by using different bibliographic archives
No full textThe present contribution aims at exploring the effects of collaborative behaviours on scholar scientific performance. Mainly thanks to the availability of international bibliographic archives, seminal studies in various fields have been focused on co-authorship networks as a proxy of scholars' collaborative skills. To this purpose, several data sources are available but they present some drawbacks, especially when a specific discipline or community is under analysis. For instance, international archives might not be able to cover all kinds of scientific production, especially for social sciences where papers can be published in books or in national-oriented journals.
In this scenario, we gathered co-authorship data on the scientific community of Italian academic statisticians as recorded in the Italian Ministry of University and Research database at March 2010. We used three bibliographic archives covering top-international journals as well as thematic and nationally oriented publications: Web of Science (WoS), Current Index to Statistics (CIS), and bibliographic information related to nationally funded research projects (PRIN). Since each data source showed peculiar characteristics influencing both network properties and performance results, we also discussed the main issues and the practical implications on merging data sources (i.e., record linkage and author name disambiguation) improving the bibliographic data quality for reconstruct an unified co-authorship network.
Both network and individual covariates are used to model individual h-index by Generalized Extreme Value (GEV) distribution. Our results provided evidence of our hypotheses on distinct collaboration patterns among statisticians, as well as distinct effects of scientist network positions on scientific performance, by both Statistics subfield and data source.
References
De Stefano, D., Zaccarin, S. (2016). Co-authorship networks and scientific performance: an empirical analysis using the generalized extreme value distribution. Journal of Applied Statistics 43: 262-279.
De Stefano, D., Fuccella, V., Vitale, M. P., Zaccarin, S. (2013) The use of different data sources in the analysis of co-authorship networks and scientific performance. Social Networks 35: 370–381.
Fuccella, V., De Stefano, D., Vitale, M. P., Zaccarin, S. Improving co-authorship network structures by combining multiple data sources: evidence from Italian academic statisticians. Scientometrics (to appear
Gli studenti di Sociologia e la Riforma: cosa sta cambiando nella formazione universitaria
No full textMultidimensional Data Analysis to Assess Interactions in an E-learning Community
No full textThe quality of the cooperation and collaboration between members is one of the crucial factors in the development of an online learning community. In this paper we focus on the analysis of the quantity and type of interaction and cooperation between students in the asynchronous discussion forum of a virtual classroom. In order to describe both the qualitative and quantitative measures of the interrelationships in the net structure we propose to adopt the theoretical framework of Multidimensional Analysis of Textual Data in connection with the theoretical framework of Social Network Analysis. The tools made available by Correspondence Analysis of the lexical table are used to derive a semantic reference space in which to locate the nodes and arcs of the communication network. The underlying interrelation structure and the evolution of the conversational themes are shown by visualizing the students that share the same vocabulary and patterns of frequent lemmas used in the forum. The role of each student in the communication process is highlighted by suitable statistical indicators defined in the framework of Social Network Analysis
Factorial Contiguity Maps to Explore Relational Data Patterns
No full textOver the past few decades Social Network Analysis has found increasing application in many social research areas to describe relational ties among social entities. In this paper, we propose to use Multidimensional Data Analysis in the framework of SNA in order to explore the structural properties of a network. In particular, we refer to Contiguity Analysis in order to deal with relational data defined by ties among the actors and described by
network centrality and clustering coefficients. The expected results consist of the definition of a network meta-analysis able to synthesise and visualise the pattern of social relationships
in a metric space where the related data structure is described. The proposed method is applied to an illustrative example in the context of a virtual learning community
Una prima fotografia dei giovani e del loro mondo.
No full textCon i giovani dell’Alta Irpinia...Un’indagine
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