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CommSense: Identify Social Relationship with Phone Contacts via Mining Communications
5 references·0 citing·26 second hop
CommSense: Identify Social Relationship with Phone Contacts via Mining Communications (2015)CommSense: Identify Social Relationship w…Mining smartphone data to classify life-facets of social relationships (2013)Mining smartphone data to cla…An unsupervised learning approach to social circles detection in ego bluetooth proximity network (2013)An unsupervised learning appr…Understanding social relationship evolution by using real-world sensing data (2012)Understanding social relation…GroupUs: Smartphone Proximity Data and Human Interaction Type Mining (2011)GroupUs: Smartphone Proximity…Friendship and mobility (2011)Friendship and mobilityThe Psychology of Interpersonal Relations. (1958)The psychology of interpersonal relations. (1958)Understanding individual human mobility patterns (2008)Exploring geospatial cognition based on location-based social network sites (2014)A semi-supervised social relationships inferred model based on mobile phone data (2016)Semantic trajectories-based social relationships discovery using WiFi monitors (2016)Adaptive On-Device Location Recognition (2004)Reality mining: sensing complex social systems (2005)Inferring friendship network structure by using mobile phone data (2009)Effective Mobile Context Pattern Discovery via Adapted Hierarchical Dirichlet Processes (2014)The Strength of Weak Ties (1973)Differentiation between social groups: Studies in the social psychology of intergroup relations. (1978)Work/Family Border Theory: A New Theory of Work/Family Balance (2000)The relationship between mobile phone location sensor data and depressive symptom severity (2016)Understanding behavioral dynamics of social anxiety among college students through smartphone sensors (2018)Data-Driven Computational Social Science: A Survey (2020)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Power-law distributions in empirical data (2018)Using GPS to learn significant locations and predict movement across multiple users (2003)A probabilistic approach to mining mobile phone data sequences (2013)Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning (2018)TeamSense (2018)
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References

  • 2011Friendship and mobility2,912 cited
  • 2013Mining smartphone data to classify life-facets of social relationships81 cited
  • 2011GroupUs: Smartphone Proximity Data and Human Interaction Type Mining66 cited
  • 2012Understanding social relationship evolution by using real-world sensing data18 cited
  • 2013An unsupervised learning approach to social circles detection in ego bluetooth proximity network16 cited

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