Predicting links in ego-networks using temporal information

Link prediction appears as a central problem of network science, as it calls for unfolding the mechanisms that govern the micro-dynamics of the network. In this work, we are interested in ego-networks, that is the mere information of interactions of a node to its neighbors, in the context of social relationships. As the structural information is very poor, we rely on another source of information to predict links among egos’ neighbors: the timing of interactions. We define several features to capture different kinds of temporal information and apply machine learning methods to combine these various features and improve the quality of the prediction. We demonstrate the efficiency of this temporal approach on a cellphone interaction dataset, pointing out features which prove themselves to perform well in this context, in particular the temporal profile of interactions and elapsed time between contacts.

[1]  Mark Goadrich,et al.  The relationship between Precision-Recall and ROC curves , 2006, ICML.

[2]  Jon Kleinberg,et al.  The link prediction problem for social networks , 2003, CIKM '03.

[3]  Jean-Loup Guillaume,et al.  Towards multi-ego-centred communities: a node similarity approach , 2013, Int. J. Web Based Communities.

[4]  A. Barabasi,et al.  Analysis of a large-scale weighted network of one-to-one human communication , 2007, physics/0702158.

[5]  Cecilia Mascolo,et al.  Topological Properties and Temporal Dynamics of Place Networks in Urban Environments , 2015, WWW.

[6]  Nitesh V. Chawla,et al.  Predictors of short-term decay of cell phone contacts in a large scale communication network , 2011, Soc. Networks.

[7]  Jon M. Kleinberg,et al.  The link-prediction problem for social networks , 2007, J. Assoc. Inf. Sci. Technol..

[8]  Pang-Ning Tan,et al.  LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction , 2011, 2011 IEEE 11th International Conference on Data Mining.

[9]  Linton C. Freeman,et al.  Centered graphs and the structure of ego networks , 1982, Math. Soc. Sci..

[10]  Linyuan Lu,et al.  Link Prediction in Complex Networks: A Survey , 2010, ArXiv.

[11]  Aaron Clauset,et al.  Detecting Friendship Within Dynamic Online Interaction Networks , 2013, ICWSM.

[12]  Guillaume Chelius,et al.  Triangles to Capture Social Cohesion , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[13]  Aristides Gionis,et al.  Learning and Predicting the Evolution of Social Networks , 2010, IEEE Intelligent Systems.

[14]  Moni Naor,et al.  Rank aggregation methods for the Web , 2001, WWW '01.

[15]  Esteban Moro Egido,et al.  Time as a limited resource: Communication Strategy in Mobile Phone Networks , 2013, Soc. Networks.

[16]  Renaud Lambiotte,et al.  RankMerging: Learning to Rank in Large-scale Social Networks , 2014, DyNaK.

[17]  Nitesh V. Chawla,et al.  New perspectives and methods in link prediction , 2010, KDD.

[18]  A-L Barabási,et al.  Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.

[19]  Lionel Tabourier,et al.  How to detect causality effects on large dynamical communication networks: A case study , 2012, 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS 2012).

[20]  D. Sculley,et al.  Rank Aggregation for Similar Items , 2007, SDM.

[21]  Jure Leskovec,et al.  Learning to Discover Social Circles in Ego Networks , 2012, NIPS.

[22]  Jari Saramäki,et al.  Temporal motifs in time-dependent networks , 2011, ArXiv.

[23]  Christopher M. Danforth,et al.  An evolutionary algorithm approach to link prediction in dynamic social networks , 2013, J. Comput. Sci..

[24]  Srikanta J. Bedathur,et al.  Towards time-aware link prediction in evolving social networks , 2009, SNA-KDD '09.

[25]  P.-C.-F. Daunou,et al.  Mémoire sur les élections au scrutin , 1803 .

[26]  Rushed Kanawati,et al.  Supervised rank aggregation approach for link prediction in complex networks , 2012, WWW.

[27]  David Lazer,et al.  Inferring friendship network structure by using mobile phone data , 2009, Proceedings of the National Academy of Sciences.

[28]  Christophe Prieur,et al.  Structure of Neighborhoods in a Large Social Network , 2009, 2009 International Conference on Computational Science and Engineering.

[29]  Martin Everett,et al.  Ego network betweenness , 2005, Soc. Networks.