Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Big Data Factories [[electronic resource] ] : Collaborative Approaches / / edited by Sorin Adam Matei, Nicolas Jullien, Sean P. Goggins
| Big Data Factories [[electronic resource] ] : Collaborative Approaches / / edited by Sorin Adam Matei, Nicolas Jullien, Sean P. Goggins |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VI, 141 p. 18 illus., 14 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Computational Social Sciences |
| Soggetto topico |
Data mining
Big data Bioinformatics Application software Research—Moral and ethical aspects Data Mining and Knowledge Discovery Big Data/Analytics Computer Appl. in Social and Behavioral Sciences Research Ethics |
| ISBN | 3-319-59186-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1. Introduction -- Part 1: Theoretical Principles and Approaches to Data Factories -- Chapter2. Accessibility and Flexibility: Two Organizing Principles for Big Data Collaboration -- Chapter3. The Open Community Data Exchange: Advancing Data Sharing and Discovery in Open Online Community Science -- Part 2: Theoretical principles and ideas for designing and deploying data factory approaches -- Chapter4. Levels of Trace Data for Social and Behavioral Science Research -- Chapter5. The 10 Adoption Drivers of Open Source Software that Enables e-Research in Data Factories for Open Innovations -- Chapter6. Aligning online social collaboration data around social order: theoretical considerations and measures -- Part 3: Approaches in action through case studies of data based research, best practice scenarios, or educational briefs -- Chapter7. Lessons learned from a decade of FLOSS data collection -- Chapter8. Teaching Students How (NOT) to Lie, Manipulate, and Mislead with Information Visualizations -- Chapter9. Democratizing Data Science: The Community Data Science Workshops and Classes. |
| Record Nr. | UNINA-9910254835903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Ethical reasoning in big data [[electronic resource] ] : an exploratory analysis / / edited by Jeff Collmann, Sorin Adam Matei
| Ethical reasoning in big data [[electronic resource] ] : an exploratory analysis / / edited by Jeff Collmann, Sorin Adam Matei |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (194 p.) |
| Disciplina | 004 |
| Collana | Computational Social Sciences |
| Soggetto topico |
Data mining
Ethics Physics System theory Data Mining and Knowledge Discovery Applications of Graph Theory and Complex Networks Complex Systems |
| ISBN | 3-319-28422-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Applying a contextual analysis of privacy in Big Data research._A theoretical framework for ethical reflection in big data research -- Part II. Ethical reasoning beyond privacy in Big Data -- The Privacy Preferences of Americans -- Beyond TIA: government surveillance in the post-Snowden era -- Engaging the public in ethical reasoning about Big Data -- The Ethics of Large-Scale Genomic Research -- Neurotechnological Convergence and 'Big Data:A Force-Multiplier toward Advancing Neuroscience -- Assuring personal privacy on the Internet -- Part III. Institutionalizing ethical reasoning about Big Data -- Technology for Privacy Assurance -- Institutionalizing ethical reasoning: Integrating the ASA’s Ethical Guidelines for Professional Practice into course, program, and curriculum -- Data Management Plans, Institutional Review Boards, and the Ethical Management of Big Data about Human Subjects -- Integrating ethical reasoning into preparation for participation to work in and with Big Data through the Stewardship model. . |
| Record Nr. | UNINA-9910254993503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Roles, Trust, and Reputation in Social Media Knowledge Markets [[electronic resource] ] : Theory and Methods / / edited by Elisa Bertino, Sorin Adam Matei
| Roles, Trust, and Reputation in Social Media Knowledge Markets [[electronic resource] ] : Theory and Methods / / edited by Elisa Bertino, Sorin Adam Matei |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (198 p.) |
| Disciplina |
004
006.312 300.1 519 |
| Collana | Computational Social Sciences |
| Soggetto topico |
Physics
Data mining System theory Social sciences Application software Applications of Graph Theory and Complex Networks Data Mining and Knowledge Discovery Complex Systems Methodology of the Social Sciences Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-319-05467-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I -- Chapter 1 - A Research Agenda for the Study of Entropic Social Structural Evolution, Functional Roles, Adhocratic Leadership Styles, and Credibility in Online Organizations and Knowledge Markets -- Chapter 2 - Building Trusted Social Media Communities: Organizations, Motivation, Reputation -- Part II -- Chapter 3 - Semantic and Social Spaces: Identifying Keyword Similarity with Relations -- Chapter 4 – Emergent Social Roles in Wikipedia’s Breaking New Collaborations -- Chapter 5 - Words and Networks: How Reliable are Network Data Constructed from Text Data? -- Chapter 6 - Predicting Low-Quality Wikipedia Articles Using User’s Judgments -- Part III -- Chapter 7 - From Invisible Algorithms to Interactive Affordances: Data after the Ideology of Machine Learning -- Part IV -- Chapter 8 - Iron Law of Oligarchy: Computational Institutions, Organization Fidelity, and Distributed Social Control -- Chapter 9 - Cultural Differences in Social Media: Trust and Authority -- Chapter 10 - Convincing Evidence -- Part V -- Chapter 11 - The Trajectory of Current and Future Knowledge Market Research: Insights from the First KredibleNet Workshop. |
| Record Nr. | UNINA-9910300425503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Transparency in Social Media [[electronic resource] ] : Tools, Methods and Algorithms for Mediating Online Interactions / / edited by Sorin Adam Matei, Martha G. Russell, Elisa Bertino
| Transparency in Social Media [[electronic resource] ] : Tools, Methods and Algorithms for Mediating Online Interactions / / edited by Sorin Adam Matei, Martha G. Russell, Elisa Bertino |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (313 p.) |
| Disciplina | 004 |
| Collana | Computational Social Sciences |
| Soggetto topico |
Data mining
Physics Social sciences System theory Application software Data Mining and Knowledge Discovery Applications of Graph Theory and Complex Networks Methodology of the Social Sciences Complex Systems Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-319-18552-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Overtures to Transparency in Social Media -- Introduction -- Socio-Computational Frameworks, Tools and Algorithms for Supporting Transparent Authorship in Social Media Knowledge Markets: Lessons from the second KredibleNet Workshop -- Part II. Assessing Provenance and Pathways in Social Media: Case studies, methods and tools -- Robust Aggregation of Inconsistent Information - Concepts and Research Directions -- Weaponized Crowdsourcing -- The Structures of Twitter Crowds and Conversations -- Visible Effort: Visualizing and measuring group structuration through social entropy -- Stepwise segmented regression analysis: An iterative statistical algorithm to detect and quantify evolutionary and revolutionary transformations in longitudinal data -- Towards Bottom-up Decision Making and Collaborative Knowledge Generation in Urban Infrastructure Projects through Online Social Media -- Biometric-Based User Authentication and Activity Level Detection in a Collaborative Environment -- Part III. Improving transparency through documentation and curation -- In the Flow: Evolving from Utility Based Social Medium to Community Peer -- Ostinato: The exploration-automation cycle of user-centric, process-automated data-driven visual network analytics -- Visual Analytics of User-influence based Dynamic Social Networks using Twitter Data -- Transparency, control and content generation on Wikipedia: Editorial strategies and technical affordances -- Part IV Transparency in social media: ethical and critical dimensions -- Truth Telling and Deception in Internet Society -- Embedding Privacy and Ethical Values in Big Data Technology -- Strategies for critical understanding of social media content. |
| Record Nr. | UNINA-9910299226703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||