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Correlation between social proximity and mobility similarity

Chao Fan, Yiding Liu, Junming Huang, Zhihai Rong, Tao Zhou
2017 Scientific Reports  
Existent analysis shows a strong correlation between online social proximity and offline mobility similarity, namely, mobile records between friends are significantly more similar than between strangers  ...  Besides, researchers find that the mobility similarity between individual trajectories is correlated with social proximity, revealing the relation between moving pattern in physical space and social network  ...  Acknowledgements We thank Hao Chen (Nankai University), Huawei Shen (Chinese Academy of Sciences), Simon DeDeo (Santa Fe Institute) and anonymous reviewers for valuable comments.  ... 
doi:10.1038/s41598-017-12274-x pmid:28931900 pmcid:PMC5607281 fatcat:sxp7vwl3vvasnnszwqe2j2mrne

Correlation between social proximity and mobility similarity [article]

Chao Fan, Yiding Liu, Junming Huang, Zhihai Rong, Tao Zhou
2016 arXiv   pre-print
Existent analysis shows a strong correlation between online social proximity and offline mobility similari- ty, namely, mobile records between friends are significantly more similar than between strangers  ...  With rich Internet data of online behaviors becoming available, it attracts academic interests to explore human mobility similarity from the perspective of social network proximity.  ...  XJ2013019 and G-YZ4D).  ... 
arXiv:1609.02669v1 fatcat:fn2fllxerbhwpah7l7t7m2tfrm

Understanding Social Characteristic from Spatial Proximity in Mobile Social Network

Duan Hu, Benxiong Huang, Lai Tu, Shu Chen
2015 International Journal of Computers Communications & Control  
By a real dataset containing thousands of mobile phone users in a provincial capital of China, the correlation between geographic community and common social properties of users have been tested.  ...  fusion of mobile, social and sensor data.  ...  Although our present work is only confined to analyzing and applying the significant correlation between spatial proximity and social properties of individuals in mobile social network by several well-known  ... 
doi:10.15837/ijccc.2015.4.1991 fatcat:v7mgggesqval5azlmu7rrkcvte

Human mobility, social ties, and link prediction

Dashun Wang, Dino Pedreschi, Chaoming Song, Fosca Giannotti, Albert-Laszlo Barabasi
2011 Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11  
We find that the similarity between two individuals' movements strongly correlates with their proximity in the social network.  ...  Our understanding of how individual mobility patterns shape and impact the social network is limited, but is essential for a deeper understanding of network dynamics and evolution.  ...  CORRELATION BETWEEN MOBILE HO-MOPHILY AND NETWORK PROXIMITY We explore a series of connections between similarity in individual mobility patterns and social proximity in the call graph, by measuring the  ... 
doi:10.1145/2020408.2020581 dblp:conf/kdd/WangPSGB11 fatcat:wsln4i7vsvendorqzsnstgvnue

A social network analysis of customer-level revenue distribution

Michael Haenlein
2010 Marketing letters  
Previous studies have largely focused on similarities in product/brand choice decisions within the same social network, often in the context of product innovation adoption.  ...  Furthermore, we show that approximating communicative proximity by spatial proximity leads to a substantial underestimation of these effects.  ...  Nevertheless, we would like to highlight that there is no significant correlation between communicative and geographical proximity in both samples (Pearson correlation coefficient of −0.02 in sample A  ... 
doi:10.1007/s11002-009-9099-9 fatcat:d6gyzim3mbhgdjuovklgc6r5mu

Proximity-Based Trust Inference for Mobile Social Networking [chapter]

Amir Seyedi, Rachid Saadi, Valérie Issarny
2011 IFIP Advances in Information and Communication Technology  
The growing trend to social networking and increased prevalence of new mobile devices lead to the emergence of mobile social networking applications where users are able to share experience in an impromptu  ...  This paper addresses this challenge by introducing proximity-based trust initialization based on the users' behavioral data available from their mobile devices or other types of social interactions.  ...  Trust and Proximity We make the assumption that there is a strong correlation between proximity observations and real social relationship [6] .  ... 
doi:10.1007/978-3-642-22200-9_20 fatcat:7xw6zwog2ncfvfordfl2w3swsy

Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach

Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudre-Mauroux
2019 The World Wide Web Conference on - WWW '19  
Traditional approaches manually define features to characterize users' mobility homophily and social proximity, and show that mobility and social features can help friendship and location prediction tasks  ...  Location Based Social Networks (LBSNs) have been widely used as a primary data source to study the impact of mobility and social relationships on each other.  ...  ACKNOWLEDGMENTS This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement 683253/GraphInt).  ... 
doi:10.1145/3308558.3313635 dblp:conf/www/YangQYC19 fatcat:iap6zqo6tzgt3p563xmfrzv7fy

Link prediction in human mobility networks

Yang Yang, Nitesh V. Chawla, Prithwish Basu, Bhaskar Prabhala, Thomas La Porta
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
In the human mobility network, there will be a link between two humans if they are physically proximal to each other.  ...  We perform both microscopic and macroscopic explorations on the human mobility patterns.  ...  correlation between G t+1 and G t+1 .  ... 
doi:10.1145/2492517.2492656 dblp:conf/asunam/YangCBPP13 fatcat:vmysznlzt5hb3aavvh6h3lxuju

Mobile Homophily and Social Location Prediction [article]

Halgurt Bapierre, Chakajkla Jesdabodi, Georg Groh
2015 arXiv   pre-print
Using a large LBSN dataset, his paper investigates the interdependency between human mobility and social proximity, the influence of social networks on enhancing location prediction of an individual and  ...  However, socially more active and extrovert users meet more people and share information, experiences, believes, thoughts etc. with others. which in turn leads to a high interdependency between their mobility  ...  Table 5 shows how the correlation between mobile homophily and network proximity significantly increases.  ... 
arXiv:1506.07763v1 fatcat:eikc3cfvgbg7fi4a24mwncxwzu

Multimodal Co-Presence Detection with Varying Spatio-Temporal Granularity

Michael Haus, Aaron Yi Ding, Jorg Ott
2020 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)  
In turn, co-presence detection enables context-aware applications, like those for social networking among close-by users, and for modeling human behavior.  ...  We have gathered a multimodal dataset for proximity sensing, including several proximity verification sets, like Bluetooth, Wi-Fi, and GSM encounters, to be able to associate sensor's data with a spatial  ...  In addition, we thank the reviewers and Leonardo Tonetto for their meaningful feedback.  ... 
doi:10.1109/percomworkshops48775.2020.9156105 dblp:conf/percom/HausDO20 fatcat:6t3vzvq46bhrhecigrrtclhewe

Analysis of Proximity Networks from Multiple Mobile Sensor Data

Dae Wook Kim, Mehmet M. Dalkilic
2013 International Journal of Future Computer and Communication  
Our results can be useful to understand that Bluetooth, GPS, and WLAN AP are of significant sensor data to quantify the pattern and strength of proximate relation between mobile users.  ...  By exploiting the dataset from NOKIA Mobile Data Challenge 2012, we propose our methods to generate sensor data based proximity networks between mobile users and evaluate these networks with a call log  ...  ACKNOWLEGMENTS The authors thank the NOKIA Mobile Data Challenge (MDC) for providing the raw MDC dataset and also thank the anonymous reviewers for their helpful suggestions.  ... 
doi:10.7763/ijfcc.2013.v2.142 fatcat:sig4mh3k7zaiffvhq6o5to53na

Gender Differences in Communication Behaviors, Spatial Proximity Patterns, and Mobility Habits [article]

Yang Yang, Omar Lizardo, Dong Wang, Yuxiao Dong, Aaron D. Striegel, David Hachen, Nitesh V. Chawla
2016 arXiv   pre-print
Analysis across three different networks along with mobility data reveals systematic gender differences in terms of communicative, distributional, mobility, and spatial proximity tendencies.  ...  The existence of gender differences in the structure and composition of social networks is a well established finding in the social and behavioral sciences, but researchers continue to debate whether structural  ...  The location similarity between two individuals u and v is computed by the Pearson Correlation Coefficient between the respective location vectors T L (u) and T L (v) (see Figure 3 ).  ... 
arXiv:1607.06740v1 fatcat:llegdxfmabb3ff2sppfqsgohku

Calling, texting, and moving: multidimensional interactions of mobile phone users

Matteo Zignani, Christian Quadri, Sabrina Gaito, Gian Paolo Rossi
2015 Computational Social Networks  
Studies have led to important advances in understanding the behavior of mobile users although they have just considered text message (short message service (SMS)), call data, and spatial proximity, separately  ...  This is advocating a multidimensional approach if we are seeking a compound description of the human mobile social behavior.  ...  Fourth, we study the correlation between the different centralities of the mobile phone users in each layer.  ... 
doi:10.1186/s40649-015-0020-9 fatcat:bdgnx6blozbnbi5imw2rg5fbfm

Inferring Geographic Coincidence in Ephemeral Social Networks [chapter]

Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang
2012 Lecture Notes in Computer Science  
We develop a framework to infer the likelihood of two users to meet together, and we apply the framework to two mobile social networks: UbiComp and Reality.  ...  From the data distribution and social theory perspectives, we found several interesting patterns.  ...  Our proposed model is able to capture such social correlations and infer the geographic coincidences between KK and JS from the prediction between MS and KK.  ... 
doi:10.1007/978-3-642-33486-3_39 fatcat:muqo33fpnfarznzeduzldch5um

Does detection range matter for inferring social networks in a benthic shark using acoustic telemetry?

Johann Mourier, Nathan Charles Bass, Tristan L. Guttridge, Joanna Day, Culum Brown
2017 Royal Society Open Science  
Research Cite this article: Mourier J, Bass NC, Guttridge TL, Day J, Brown C. 2017 Does detection range matter for inferring social networks in a benthic shark using acoustic telemetry? R.  ...  We thank Marlin Gregor from Sonotronics for his continued support and help developing the miniSUR and proximity receiver technology.  ...  Nathan Knott was largely responsible for setting up and maintaining the VR2W network in Jervis Bay.  ... 
doi:10.1098/rsos.170485 pmid:28989756 pmcid:PMC5627096 fatcat:qjqwqrp7xbc4hc4544ljw7nf6m
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