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Predicting Spending Behavior Using Socio-mobile Features
12 references·16 citing·47 second hop
Predicting Spending Behavior Using Socio-mobile Features (2013)Predicting Spending Behavior Using Socio-…StressSense (2012)StressSenseSocial sensing for epidemiological behavior change (2010)Social sensing for epidemiolo…Network Diversity and Economic Development (2010)Network Diversity and Economi…Analytics for Customer Engagement (2010)Analytics for Customer Engage…Understanding individual human mobility patterns (2008)Understanding individual huma…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Dynamic Conversion Behavior at E-Commerce Sites (2004)Dynamic Conversion Behavior a…The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. (1999)The Big Five Trait taxonomy: …The Overspent American: Why We Want What We Don't Need (1997)The Overspent American: Why W…A Theory of Social Interactions (1974)A Theory of Social Interactio…Income, Saving, and the Theory of Consumer Behavior (1950)Income, Saving, and the Theor…Income, Saving and the Theory of Consumer Behavior. (1950)Income, Saving and the Theory…Structural Ageism in Big Data Approaches (2019)Structural Ageism in Big Data…Smartphone Usage Diversity among Older People (2019)Smartphone Usage Diversity am…Methodological Strategies to Understand Smartphone Practices for Social Connectedness in Later Life (2019)Methodological Strategies to …Impact of Natural and Social Events on Mobile Call Data Records – An Estonian Case Study (2019)Impact of Natural and Social …Riskalyzer (2018)RiskalyzerAutomatic assessment of mental health using phone metadata (2018)Automatic assessment of menta…Predicting Commercial Activeness over Urban Big Data (2017)Predicting Commercial Activen…Inferring Individual Social Capital Automatically via Phone Logs (2017)Inferring Individual Social C…TreeNet analysis of human stress behavior using socio-mobile data (2016)TreeNet analysis of human str…The Mobile Territorial Lab: a multilayered and dynamic view on parents’ daily lives (2016)The Mobile Territorial Lab: a…MobiScore: Towards Universal Credit Scoring from Mobile Phone Data (2015)MobiScore: Towards Universal …Inference of demographic attributes based on mobile phone usage patterns and social network topology (2015)Inference of demographic attr…Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits (2014)Daily Stress Recognition from…A study of age and gender seen through mobile phone usage patterns in Mexico (2014)A study of age and gender see…A predictive model for recurrent consumption behavior: An application on phone calls (2014)A predictive model for recurr…Classifying Spending Behavior using Socio-Mobile Data (2013)Classifying Spending Behavior…An alternative "description of personality": The Big-Five factor structure. (1990)THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META‐ANALYSIS (1991)An Introduction to the Five‐Factor Model and Its Applications (1992)Handbook of Positive Psychology (2001)A very brief measure of the Big-Five personality domains (2003)Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. (2003)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)The Strength of Weak Ties (1973)The Strength of Weak Ties: A Network Theory Revisited (1983)Structural Holes (1992)Digital Footprints: Opportunities and Challenges for Online Social Research (2014)European commitment to COP21 and the role of energy consumption, FDI, trade and economic complexity in sustaining economic growth (2020)Social capital I: measurement and associations with economic mobility (2022)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Social signal processing: Survey of an emerging domain (2008)Inferring friendship network structure by using mobile phone data (2009)Comparison of two modes of stress measurement: Daily hassles and uplifts versus major life events (1981)Vocal affect expression: A review and a model for future research. (1986)Measuring stress: A guide for health and social scientists (1996)Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review (2015)Mental health monitoring with multimodal sensing and machine learning: A survey (2018)Stress detection in daily life scenarios using smart phones and wearable sensors: A survey (2019)Impact of Sales Promotions on When, What, and How Much to Buy (1988)Impulse buying: Modeling its precursors (1998)Frictionless Commerce? A Comparison of Internet and Conventional Retailers (2000)Buying, Searching, or Browsing: Differentiating Between Online Shoppers Using In-Store Navigational Clickstream (2003)Searching for Experience on the Web: An Empirical Examination of Consumer Behavior for Search and Experience Goods (2009)Digital marketing: A framework, review and research agenda (2016)Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand (1950)The Principles of Morals and Legislation (1988)Impure Altruism and Donations to Public Goods: A Theory of Warm-Glow Giving (1990)Social Theory of International Politics (1999)Gender Differences in Preferences (2009)Satisfaction and comparison income (1996)The analysis of household surveys (1997)Relative Income, Happiness, and Utility: An Explanation for the Easterlin Paradox and Other Puzzles (2008)Habit Formation: A Resolution of the Equity Premium Puzzle (1990)Well-Being Over Time in Britain and the USA (1999)Income and well-being: an empirical analysis of the comparison income effect (2004)The role of income aspirations in individual happiness (2004)A Second-hand Shoppers’ Motivation Scale: Antecedents, Consequences, and Implications for Retailers (2010)Food consumption trends and drivers (2010)
this work references cited by second hop

References

  • 1999The Big Five Trait taxonomy: History, measurement, and theoretical perspectives.7,993 cited
  • 2008Understanding individual human mobility patterns6,071 cited
  • 2005Reality mining: sensing complex social systems2,771 cited
  • 1974A Theory of Social Interactions2,530 cited
  • 1950Income, Saving and the Theory of Consumer Behavior.2,197 cited
  • 1950Income, Saving, and the Theory of Consumer Behavior1,397 cited
  • 2010Network Diversity and Economic Development772 cited
  • 1997The Overspent American: Why We Want What We Don't Need628 cited
  • 2004Dynamic Conversion Behavior at E-Commerce Sites520 cited
  • 2012StressSense511 cited
  • 2010Analytics for Customer Engagement452 cited
  • 2010Social sensing for epidemiological behavior change219 cited

Cited by

  • 2014Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits217 cited
  • 2015MobiScore: Towards Universal Credit Scoring from Mobile Phone Data66 cited
  • 2019Structural Ageism in Big Data Approaches62 cited
  • 2019Smartphone Usage Diversity among Older People

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50 cited
  • 2014A study of age and gender seen through mobile phone usage patterns in Mexico43 cited
  • 2019Methodological Strategies to Understand Smartphone Practices for Social Connectedness in Later Life39 cited
  • 2016The Mobile Territorial Lab: a multilayered and dynamic view on parents’ daily lives26 cited
  • 2017Inferring Individual Social Capital Automatically via Phone Logs20 cited
  • 2017Predicting Commercial Activeness over Urban Big Data20 cited
  • 2014A predictive model for recurrent consumption behavior: An application on phone calls18 cited
  • 2013Classifying Spending Behavior using Socio-Mobile Data14 cited
  • 2019Impact of Natural and Social Events on Mobile Call Data Records – An Estonian Case Study13 cited
  • 2016TreeNet analysis of human stress behavior using socio-mobile data12 cited
  • 2015Inference of demographic attributes based on mobile phone usage patterns and social network topology12 cited
  • 2018Riskalyzer7 cited
  • 2018Automatic assessment of mental health using phone metadata7 cited