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Predicting retail business success using urban social data mining
11 references·0 citing·50 second hop
Predicting retail business success using urban social data mining (2020)Predicting retail business success using …Land use discovery based on Volunteer Geographic Information classification (2019)Land use discovery based on V…Where is the Goldmine? (2016)Where is the Goldmine?Customer engagement: the construct, antecedents, and consequences (2016)Customer engagement: the cons…Measuring Urban Deprivation from User Generated Content (2015)Measuring Urban Deprivation f…Measuring Urban Deprivation from User Generated Content (2015)Measuring Urban Deprivation f…Contextualized Relevance Evaluation of Geographic Information for Mobile Users in Location-Based Social Networks (2015)Contextualized Relevance Eval…A pedestrian flow analysis system using Wi-Fi packet sensors to a real environment (2014)A pedestrian flow analysis sy…Geo-spotting (2013)Geo-spottingCapturing Urban Dynamics with Scarce Check-In Data (2013)Capturing Urban Dynamics with…A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)A Tale of Many Cities: Univer…Spatial competitive interaction of retail store formats: modeling proposal and empirical results (2003)Spatial competitive interacti…Stability in Competition (1929)Conditional logit analysis of qualitative choice behavior (1972)Stability in Competition (1990)Malaysian hypermarket retailing development and expansion (2013)International transfer and perception of retail formats (2014)Predicting resilience in retailing using grey theory and moving probability based Markov models (2021)Understanding individual human mobility patterns (2008)Power-Law Distributions in Empirical Data (2009)A survey of results on mobile phone datasets analysis (2015)Understanding Human Mobility from Twitter (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Power-law distributions in empirical data (2018)Use and Impact of Online Travel Reviews (2008)Where’s everybody? Comparing the use of heatmaps to uncover cities’ tacit social context in smartphones and pervasive displays (2017)Los datos geolocalizados de las redes sociales en el estudio de cuestiones urbanas complejas: cinco temas, cinco redes (2019)An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)Exploring Millions of Footprints in Location Sharing Services (2021)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Spatial Autocorrelation: Trouble or New Paradigm? (1993)Using thematic analysis in psychology (2006)Geography of Emotion (2016)Why the World Reads Wikipedia (2019)Changing neighborhoods, shifting connections: mapping relational geographies of gentrification using social media data (2021)Tracking unmodified smartphones using wi-fi monitors (2012)A Survey of Techniques for Automatically Sensing the Behavior of a Crowd (2018)Estimating real-time high-street footfall from Wi-Fi probe requests (2019)Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover (2021)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)The Commitment-Trust Theory of Relationship Marketing (1994)Toward a theory of customer engagement marketing (2016)Digital Content Marketing's Role in Fostering Consumer Engagement, Trust, and Value: Framework, Fundamental Propositions, and Implications (2018)Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR) (2021)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Mining User Mobility Features for Next Place Prediction in Location-Based Services (2012)Exploring temporal effects for location recommendation on location-based social networks (2013)Modeling location-based social network data with area attraction and neighborhood competition (2018)AR 2 Net (2020)Venue-Popularity Prediction Using Social Data Participatory Sensing Systems and RNNs (2020)Citizens as sensors: the world of volunteered geography (2007)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)A survey of location-based social networks: problems, methods, and future research directions (2021)The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)Application of Social Sensors in Natural Disasters Emergency Management: A Review (2022)Providing climate change resilient land-use transport projects with green finance using Z extended numbers based decision-making model (2023)Discovering regions of different functions in a city using human mobility and POIs (2012)Bike sharing station placement leveraging heterogeneous urban open data (2015)Point-of-Interest Demand Modeling with Human Mobility Patterns (2017)Urban Computing Leveraging Location-Based Social Network Data (2019)Computational socioeconomics (2019)
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References

  • 2016Customer engagement: the construct, antecedents, and consequences1,760 cited
  • 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
  • 2013Geo-spotting208 cited
  • 2015Measuring Urban Deprivation from User Generated Content59 cited
  • 2014A pedestrian flow analysis system using Wi-Fi packet sensors to a real environment57 cited
  • 2015Measuring Urban Deprivation from User Generated Content49 cited
  • 2003Spatial competitive interaction of retail store formats: modeling proposal and empirical results49 cited
  • 2016Where is the Goldmine?34 cited
  • 2013Capturing Urban Dynamics with Scarce Check-In Data21 cited
  • 2019Land use discovery based on Volunteer Geographic Information classification19 cited
  • 2015Contextualized Relevance Evaluation of Geographic Information for Mobile Users in Location-Based Social Networks8 cited

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