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Internet Science

Overview of attention for book
Cover of 'Internet Science'

Table of Contents

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    Book Overview
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    Chapter 1 WeMake: A Framework for Letting Students Create Tangible, Embedded and Embodied Environments for Their Own STEAM Learning
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    Chapter 2 Onboarding Communities to the IoT
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    Chapter 3 Citizen Science Is in the Air – Engagement Mechanisms from Technology-Mediated Citizen Science Projects Addressing Air Pollution
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    Chapter 4 Community Based Initiatives and New Communication Technologies: A Preliminary Analysis Towards an Overall Assessment
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    Chapter 5 Diversity in FabLabs: Culture, Role Models and the Gendering of Making
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    Chapter 6 InSPIRES: Science Shops 2.0
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    Chapter 7 Science Cafés in the Internet Era
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    Chapter 8 Conceptualizing ICT-Enabled Co-creation of Public Value
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    Chapter 9 Designing a Digital Social Innovation Platform: From Case Studies to Concepts
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    Chapter 10 Connecting Citizens: Designing for Data Collection and Dissemination in the Smart City
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    Chapter 11 Politicians Driving Online Discussions: Are Institutionalized Influencers Top Twitter Users?
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    Chapter 12 The STEP Project: Societal and Political Engagement of Young People in Environmental Issues
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    Chapter 13 A Study of Ride Sharing Opportunities in the City of Santiago de Chile
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    Chapter 14 Smart Cities in Stars: Food Perceptions and Beyond
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    Chapter 15 Improvement of the Workers’ Satisfaction and Collaborative Spirit Through Gamification
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    Chapter 16 Online Grocery Shopping: Identifying Change in Consumption Practices
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    Chapter 17 Open Data as a New Commons. Empowering Citizens to Make Meaningful Use of a New Resource
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    Chapter 18 Involving Users in the Design of Sharing Economy Services
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    Chapter 19 A Qualitative Methodology for the Validation of a Common Information Space to Improve Crisis Management: Results from the SecInCoRe Project
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    Chapter 20 Ewya: An Interoperable Fog Computing Infrastructure with RDF Stream Processing
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    Chapter 21 Large-Scale Open Corporate Data Collection and Analysis as an Enabler of Corporate Social Responsibility Research
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    Chapter 22 Serendipity by Design? How to Turn from Diversity Exposure to Diversity Experience to Face Filter Bubbles in Social Media
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    Chapter 23 Information Mining from Public Mailing Lists: A Case Study on IETF Mailing Lists
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    Chapter 24 Evaluation of Linked, Open Data Sources for Mining Adverse Drug Reaction Signals
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    Chapter 25 A Data-Driven Model for Linking Open Economic Information
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    Chapter 26 Unsupervised Keyword Extraction Using the GoW Model and Centrality Scores
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    Chapter 27 Implicit Interaction Through Machine Learning: Challenges in Design, Accountability, and Privacy
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    Chapter 28 Open-Source Monitoring, Search and Analytics Over Social Media
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    Chapter 29 “Reputational Heuristics” Violate Rationality: New Empirical Evidence in an Online Multiplayer Game
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    Chapter 30 Why People Use Chatbots
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    Chapter 31 Cascades on Online Social Networks: A Chronological Account
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    Chapter 32 Semantic Social Networks: A New Approach to Scaling Digital Ethnography
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    Chapter 33 A Topic Detection and Visualisation System on Social Media Posts
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    Chapter 34 Towards Suicide Prevention: Early Detection of Depression on Social Media
Overall attention for this book and its chapters
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Mentioned by

2 news outlets
1 blog
64 tweeters
2 Facebook pages

Readers on

33 Mendeley
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Internet Science
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-70284-1
978-3-31-970283-4, 978-3-31-970284-1

Ioannis Kompatsiaris, Jonathan Cave, Anna Satsiou, Georg Carle, Antonella Passani, Efstratios Kontopoulos, Sotiris Diplaris, Donald McMillan

Twitter Demographics

The data shown below were collected from the profiles of 64 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 3%
Belgium 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 12%
Student > Bachelor 1 3%
Student > Ph. D. Student 1 3%
Professor > Associate Professor 1 3%
Unknown 26 79%
Readers by discipline Count As %
Computer Science 7 21%
Unknown 26 79%