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Social Informatics

Overview of attention for book
Social Informatics
Springer, Cham

Table of Contents

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    Book Overview
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    Chapter 1 How Well Do Doodle Polls Do?
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    Chapter 2 Bring on Board New Enthusiasts! A Case Study of Impact of Wikipedia Art + Feminism Edit-A-Thon Events on Newcomers
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    Chapter 3 The Social Dynamics of Language Change in Online Networks
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    Chapter 4 On URL Changes and Handovers in Social Media
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    Chapter 5 Comment-Profiler: Detecting Trends and Parasitic Behaviors in Online Comments
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    Chapter 6 On Profiling Bots in Social Media
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    Chapter 7 A Diffusion Model for Maximizing Influence Spread in Large Networks
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    Chapter 8 Lightweight Interactions for Reciprocal Cooperation in a Social Network Game
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    Chapter 9 Continuous Recipe Selection Model Based on Cooking History
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    Chapter 10 Examining Community Policing on Twitter: Precinct Use and Community Response
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    Chapter 11 The Dynamics of Group Risk Perception in the US After Paris Attacks
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    Chapter 12 Determining the Veracity of Rumours on Twitter
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    Chapter 13 PicHunt: Social Media Image Retrieval for Improved Law Enforcement
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    Chapter 14 TwitterNews+: A Framework for Real Time Event Detection from the Twitter Data Stream
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    Chapter 15 Uncovering Topic Dynamics of Social Media and News: The Case of Ferguson
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    Chapter 16 Identifying Partisan Slant in News Articles and Twitter During Political Crises
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    Chapter 17 Predicting Poll Trends Using Twitter and Multivariate Time-Series Classification
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    Chapter 18 Inferring Population Preferences via Mixtures of Spatial Voting Models
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    Chapter 19 Contrasting Public Opinion Dynamics and Emotional Response During Crisis
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    Chapter 20 Social Politics: Agenda Setting and Political Communication on Social Media
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    Chapter 21 Preference-Aware Successive POI Recommendation with Spatial and Temporal Influence
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    Chapter 22 Event Participation Recommendation in Event-Based Social Networks
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    Chapter 23 An Effective Approach to Finding a Context Path in Review Texts Using Pathfinder Scaling
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    Chapter 24 How to Find Accessible Free Wi-Fi at Tourist Spots in Japan
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    Chapter 25 Mobile Communication Signatures of Unemployment
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    Chapter 26 Identifying Stereotypes in the Online Perception of Physical Attractiveness
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    Chapter 27 Analysing RateMyProfessors Evaluations Across Institutions, Disciplines, and Cultures: The Tell-Tale Signs of a Good Professor
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    Chapter 28 Detecting Coping Style from Twitter
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    Chapter 29 User Privacy Concerns with Common Data Used in Recommender Systems
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    Chapter 30 How a User’s Personality Influences Content Engagement in Social Media
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    Chapter 31 Semi-supervised Knowledge Extraction for Detection of Drugs and Their Effects
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    Chapter 32 Using Social Media to Measure Student Wellbeing: A Large-Scale Study of Emotional Response in Academic Discourse
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    Chapter 33 EmojiNet: Building a Machine Readable Sense Inventory for Emoji
Attention for Chapter 17: Predicting Poll Trends Using Twitter and Multivariate Time-Series Classification
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Citations

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Summary Dimensions citations
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Chapter title
Predicting Poll Trends Using Twitter and Multivariate Time-Series Classification
Chapter number 17
Book title
Social Informatics
Published in
Lecture notes in computer science, October 2016
DOI 10.1007/978-3-319-47880-7_17
Book ISBNs
978-3-31-947879-1, 978-3-31-947880-7
Authors

Tom Mirowski, Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 15%
Student > Ph. D. Student 2 15%
Professor > Associate Professor 2 15%
Researcher 2 15%
Student > Master 2 15%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Unspecified 2 15%
Computer Science 2 15%
Physics and Astronomy 2 15%
Social Sciences 2 15%
Energy 1 8%
Other 1 8%
Unknown 3 23%

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