A Novel Method for Event Recommendation in Meetup

In recent years, social networks that only organize events have begun to appear and millions of people have registered for these groups online and received online invitations for events. Contrary to other social networks, at the end of the process in the event social networks, people participate in an event/a meeting physically. Even though hundreds of events occurring in the city we live are listed in the event social networks, it is not easy to follow all of the event announcements regularly, find the time and the content of the events and the events which acquaintances participate in. This study suggests a new link prediction method for the Meetup social network, which recommends events to users according to the events they participated in and their field of interests. Meetup is a significant network used in finding events. With this method, appropriate solutions are tried to be found on bipartite networks. The proposed method was tested with a dataset of 100.000 users acquired from Meetup and successful results were obtained.

[1]  Ricardo B. C. Prudêncio,et al.  Supervised link prediction in weighted networks , 2011, The 2011 International Joint Conference on Neural Networks.

[2]  Cecilia Mascolo,et al.  Exploiting place features in link prediction on location-based social networks , 2011, KDD.

[3]  Bivas Mitra,et al.  Can i foresee the success of my meetup group? , 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[4]  Céline Rouveirol,et al.  Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks , 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.

[5]  M. Newman.  Clustering and preferential attachment in growing networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Mohammad Al Hasan,et al.  Link prediction using supervised learning , 2006 .

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

[8]  Yi-Cheng Zhang,et al.  Bipartite network projection and personal recommendation. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Lingling Zhang,et al.  Genre-based Link Prediction in Bipartite Graph for Music Recommendation☆ , 2016 .

[10]  Lada A. Adamic,et al.  Friends and neighbors on the Web , 2003, Soc. Networks.

[11]  Buket Kaya,et al.  A social network based optimal tariff recommender for a group of GSM users , 2016, 2016 3rd International Conference on Computer and Information Sciences (ICCOINS).

[12]  Vipin Kumar,et al.  Introduction to Data Mining , 2022, Data Mining and Machine Learning Applications.

[13]  M. Barber.  Modularity and community detection in bipartite networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Francesco Folino,et al.  Link Prediction Approaches for Disease Networks , 2012, ITBAM.

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

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

[17]  Mehmet Kaya,et al.  Mining quad closure patterns in Instagram , 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[18]  Reda Alhajj,et al.  A new topological metric for link prediction in directed, weighted and temporal networks , 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[19]  Reda Alhajj,et al.  Time frame based link prediction in directed citation networks , 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[20]  Shangguang Wang,et al.  Latent Interest and Topic Mining on User-Item Bipartite Networks , 2016, 2016 IEEE International Conference on Services Computing (SCC).

[21]  Dino Pedreschi,et al.  Human mobility, social ties, and link prediction , 2011, KDD.

[22]  Rui Meng,et al.  On bottleneck-aware arrangement for event-based social networks , 2015, 2015 31st IEEE International Conference on Data Engineering Workshops.

[23]  Christine B. Williams,et al.  The 2004 US Presidential campaign: Impact of hybrid offline and online ‘meetup’ communities , 2006 .

[24]  Jure Leskovec,et al.  Predicting positive and negative links in online social networks , 2010, WWW '10.

[25]  Hisashi Kashima,et al.  Cross-Temporal Link Prediction , 2011, 2011 IEEE 11th International Conference on Data Mining.

[26]  Joan Conners.  Meetup, Blogs, and Online Involvement: U.S. Senate Campaign Websites of 2004 , 2005 .

[27]  Hung-Yu Kao,et al.  Link Prediction in a Bipartite Network Using Wikipedia Revision Information , 2012, 2012 Conference on Technologies and Applications of Artificial Intelligence.

[28]  M. Newman,et al.  Hierarchical structure and the prediction of missing links in networks , 2008, Nature.

[29]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

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

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

[32]  Gao Cong,et al.  A General Recommendation Model for Heterogeneous Networks , 2016, IEEE Transactions on Knowledge and Data Engineering.