Lessons From the UK's Lockdown: Discourse on Behavioural Science in Times of COVID-19

Governments cannot just ‘follow the science’ on COVID-19

(2020) Alex Stevens   Nature Human Behaviour

Exploring research trends and network characteristics in construction automation and robotics based on keyword network analysis

(2020) Taehoon Kim et al.   Journal of Asian Architecture and Building Engineering

Model uncertainty, political contestation, and public trust in science: Evidence from the COVID-19 pandemic

(2020) S. E. Kreps et al.   Science Advances

Use caution when applying behavioural science to policy

(2020) Hans IJzerman et al.   Nature Human Behaviour

Co-occurrence networks of Twitter content after manual or automatic processing. A case-study on “gluten-free”

(2020) Patricia Puerta et al.   FOOD QUALITY AND PREFERENCE

Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review

(2020) A.H. Alamoodi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Complex network analysis of keywords co-occurrence in the recent efficiency analysis literature

(2019) S. Lozano et al.   SCIENTOMETRICS

Public acceptability of nudging and taxing to reduce consumption of alcohol, tobacco, and food: A population-based survey experiment

(2019) J.P. Reynolds et al.   SOCIAL SCIENCE & MEDICINE

TrendNets: mapping emerging research trends from dynamic co-word networks via sparse representation

(2019) Marie Katsurai et al.   SCIENTOMETRICS

All science should inform policy and regulation

(2018) John P. A. Ioannidis   PLOS MEDICINE

Monitoring the public opinion about the vaccination topic from tweets analysis

(2018) Eleonora D'Andrea et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detecting discussion communities on vaccination in twitter

(2017) Gema Bello-Orgaz et al.   Future Generation Computer Systems-The International Journal of eScience

Opportunities for Innovation in Social Media Analytics

(2017) Wendy W. Moe et al.   JOURNAL OF PRODUCT INNOVATION MANAGEMENT

Mining Twitter to Assess the Public Perception of the “Internet of Things”

(2016) Jiang Bian et al.   PLoS One

A Comparative Analysis of Community Detection Algorithms on Artificial Networks

(2016) Zhao Yang et al.   Scientific Reports

Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research

(2015) Bongsug (Kevin) Chae   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

America's crisis of faith in science

(2015) T. L. Pittinsky   SCIENCE

Measuring Laypeople’s Trust in Experts in a Digital Age: The Muenster Epistemic Trustworthiness Inventory (METI)

(2015) Friederike Hendriks et al.   PLoS One

Communicating science in social settings

(2013) D. A. Scheufele   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Network analysis of narrative content in large corpora

(2013) SAATVIGA SUDHAHAR et al.   Natural Language Engineering

A co-word analysis of digital library field in China

(2011) Gao-Yong Liu et al.   SCIENTOMETRICS

Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak

(2010) Cynthia Chew et al.   PLoS One

Community detection algorithms: A comparative analysis

(2009) Andrea Lancichinetti et al.   PHYSICAL REVIEW E

Fast unfolding of communities in large networks

(2008) Vincent D Blondel et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT