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Do Twitter phenomena check-in popular venues on Foursquare too?
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Do Twitter phenomena check-in popular venues on Foursquare too? (2018)Do Twitter phenomena check-in popular ven…Exploring Millions of Footprints in Location Sharing Services (2021)Exploring Millions of Footpri…Tourists' digital footprint in cities: Comparing Big Data sources (2017)Tourists' digital footprint i…Social media analytics – Challenges in topic discovery, data collection, and data preparation (2017)Social media analytics – Chal…Learning User Attributes via Mobile Social Multimedia Analytics (2017)Learning User Attributes via …Harvesting Multiple Sources for User Profile Learning (2015)Harvesting Multiple Sources f…Gaining competitive intelligence from social media data (2015)Gaining competitive intellige…Understanding urban human activity and mobility patterns using large-scale location-based data from online social media (2013)Understanding urban human act…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear” (2011)Predicting Stock Market Indic…Election Forecasts With Twitter (2010)Election Forecasts With Twitt…Understanding individual human mobility patterns (2008)Linguistic Inquiry and Word Count (LIWC) (2012)Adversarial Substructured Representation Learning for Mobile User Profiling (2019)TransLink: User Identity Linkage across Heterogeneous Social Networks via Translating Embeddings (2019)An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior (2023)The Use of Knowledge in Society (1996)Bad is Stronger than Good (2001)Social media and political communication: a social media analytics framework (2012)Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior (2013)American Economic Review (2019)Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards (2004)Predicting the Future with Social Media (2010)Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter (2010)Sentiment analysis on social media for stock movement prediction (2015)A systematic review of fundamental and technical analysis of stock market predictions (2019)The scaling laws of human travel (2006)Friendship and mobility (2011)Urban activity pattern classification using topic models from online geo-location data (2014)Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)A Theory of Social Comparison Processes (1954)Social media competitive analysis and text mining: A case study in the pizza industry (2013)Managing extracted knowledge from big social media data for business decision making (2017)Social media and customer relationship management technologies: Influencing buyer-seller information exchanges (2020)Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs (2021)The Behavior of Stock-Market Prices (1965)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Data mining with big data (2013)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Social Media: Defining, Developing, and Divining (2015)Limits of Predictability in Human Mobility (2010)Geo-located Twitter as proxy for global mobility patterns (2014)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Political Polarization on Twitter (2011)Inferring user demographics and social strategies in mobile social networks (2014)When Location Meets Social Multimedia (2015)Local Indicators of Spatial Association—LISA (1995)Big data: the management revolution. (2012)Big Data : The Management Revolution (2013)Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing (2019)Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data (2020)Big data and analytics in hospitality and tourism: a systematic literature review (2021)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Users of the world, unite! The challenges and opportunities of Social Media (2009)CRITICAL QUESTIONS FOR BIG DATA (2012)Social media and entrepreneurship research: A literature review (2019)Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics (2020)Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020)
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References

  • 2011Twitter mood predicts the stock market5,252 cited
  • 2017Social media analytics – Challenges in topic discovery, data collection, and data preparation848 cited
  • 2021Exploring Millions of Footprints in Location Sharing Services692 cited
  • 2011Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear”644 cited
  • 2010Election Forecasts With Twitter472 cited
  • 2013Understanding urban human activity and mobility patterns using large-scale location-based data from online social media321 cited
  • 2017Tourists' digital footprint in cities: Comparing Big Data sources280 cited
  • 2015Gaining competitive intelligence from social media data109 cited
  • 2015Harvesting Multiple Sources for User Profile Learning87 cited
  • 2017Learning User Attributes via Mobile Social Multimedia Analytics29 cited

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