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Internet Science

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Cover of 'Internet Science'

Table of Contents

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    Book Overview
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    Chapter 1 On the Educational Curriculum in Finance and Technology
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    Chapter 2 Technology Adoption and Social Innovation: Assessing an Online Financial Awareness Platform
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    Chapter 3 Aalto Observatory on Digital Valuation Systems
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    Chapter 4 A Novel Lexicon-Based Approach in Determining Sentiment in Financial Data Using Learning Automata
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    Chapter 5 A Hybrid Recommendation System Based on Density-Based Clustering
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    Chapter 6 Computing Platform for Virtual Economic Activities Index
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    Chapter 7 Data Based Stock Portfolio Construction Using Computational Intelligence
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    Chapter 8 YourDataStories: Transparency and Corruption Fighting Through Data Interlinking and Visual Exploration
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    Chapter 9 The Maker Movement and the Disruption of the Producer-Consumer Relation
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    Chapter 10 Open Data: Creating Communities and Practices for a New Common
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    Chapter 11 The Case for Collaborative Policy Experimentation Using Advanced Geospatial Data Analytics and Visualisation
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    Chapter 12 An Engagement-Related Behaviour Change Approach for SavingFood in Greece
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    Chapter 13 Developing a Social Innovation Methodology in the Web 2.0 Era
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    Chapter 14 Code Hunting Games: A Mixed Reality Multiplayer Treasure Hunt Through a Conversational Interface
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    Chapter 15 Politician – An Imitation Game
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    Chapter 16 Towards Open Domain Chatbots—A GRU Architecture for Data Driven Conversations
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    Chapter 17 Creating Dialogues Using Argumentation and Social Practices
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    Chapter 18 An Overview of Open-Source Chatbots Social Skills
Attention for Chapter 2: Technology Adoption and Social Innovation: Assessing an Online Financial Awareness Platform
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Chapter title
Technology Adoption and Social Innovation: Assessing an Online Financial Awareness Platform
Chapter number 2
Book title
Internet Science
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-77547-0_2
Book ISBNs
978-3-31-977546-3, 978-3-31-977547-0
Authors

Gian-Luca Gasparini, Aurora Prospero, Aikaterini Katmada, Anna Satsiou, Miroslav Konecny, Peter Hanečák

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Lecturer 2 17%
Other 2 17%
Student > Doctoral Student 1 8%
Unknown 3 25%
Readers by discipline Count As %
Business, Management and Accounting 3 25%
Computer Science 2 17%
Economics, Econometrics and Finance 1 8%
Energy 1 8%
Social Sciences 1 8%
Other 0 0%
Unknown 4 33%