The lifecycles of apps in a social ecosystem

WWW 2015 - Proceedings of the 24th International Conference on World Wide Web

Volumn , Issue , 2015, Pages 581-591

  Kloumann, Isabel ^a   Adamic, Lada ^b   Kleinberg, Jon ^a   Wu, Shaomei ^b  

^a Department of Molecular Biology and Genetics   (United States)

^b FACEBOOK   (United States)

Author keywords

Apps; Diffusion; Social networks

Indexed keywords

APPLICATION PROGRAMS; DIFFUSION; ECOLOGY; ECOSYSTEMS; WORLD WIDE WEB;

LOCAL NETWORKS; ON-LINE CONTENTS; RETENTION MODELING; SIMULTANEOUS ANALYSIS; SOCIAL ECOSYSTEMS; SOCIAL PROPERTIES; TEMPORAL STRUCTURES; USER ADOPTIONS;

SOCIAL NETWORKING (ONLINE);

EID: 84968928645     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2736277.2741684     Document Type: Conference Paper

References (29)

1. Lars Backstrom, Dan Huttenlocher, Jon Kleinberg, and Xiangyang Lan. Group formation in large social networks: membership, growth, and evolution. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 44-54. ACM, 2006.
2. Eytan Bakshy, Jake M. Hofman, Winter A. Mason, and Duncan J. Watts. Everyones an influencer: Quantifying influence on twitter. In Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, WSDM 11, pages 65-74, New York, NY, USA, 2011. ACM.
3. Eytan Bakshy, Itamar Rosenn, Cameron Marlow, and Lada Adamic. The role of social networks in information diffusion. In Proceedings of the 21st international conference on World Wide Web, pages 519-528. ACM, 2012.
4. Frank Bass. A new product growth for model consumer durables. Management Sciences, 15(1):215-227, 1969.
5. Justin Cheng, Lada Adamic, P. Alex Dow, Jon Michael Kleinberg, and Jure Leskovec. Can cascades be predicted? In Proceedings of the 23rd International Conference on World Wide Web, WWW 14, pages 925-936, New York, NY, USA, 2014. ACM.
6. Riley Crane and Didier Sornette. Robust dynamic classes revealed by measuring the response function of a social system. Proceedings of the National Academy of Sciences, 105(41):15649-15653, 2008.
7. G. de Tarde and E.W.C. Parsons. The Laws of Imitation. H. Holt, 1903.
8. Thomas Debeauvais, Bonnie Nardi, Diane J Schiano, Nicolas Ducheneaut, and Nicholas Yee. If you build it they might stay: Retention mechanisms in world of warcraft. In Proceedings of the 6th International Conference on Foundations of Digital Games, pages 180-187. ACM, 2011.
9. Nicolas Ducheneaut, Nicholas Yee, Eric Nickell, and Robert J. Moore. The life and death of online gaming communities: A look at guilds in world of warcraft. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 07, pages 839-848, New York, NY, USA, 2007. ACM.
10. Sanjay Ram Kairam, Dan J. Wang, and Jure Leskovec. The life and death of online groups: Predicting group growth and longevity. In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, WSDM 12, pages 673-682, New York, NY, USA, 2012. ACM.
11. Marcel Karnstedt, Matthew Rowe, Jeffrey Chan, Harith Alani, and Conor Hayes. The effect of user features on churn in social networks. In Proceedings of the 3rd International Web Science Conference, page 23. ACM, 2011.
12. Jure Leskovec, Lada A. Adamic, and Bernardo A. Huberman. The dynamics of viral marketing. In 16th ACM Conference on Economics and Computation, pages 228-237, New York, NY, USA, 2006. ACM Press.
13. Jure Leskovec, Lars Backstrom, and Jon Kleinberg. Meme-Tracking and the dynamics of the news cycle. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 09, pages 497-506, New York, NY, USA, 2009. ACM.
14. Lev Muchnik, Sinan Aral, and Sean J Taylor. Social influence bias: A randomized experiment. Science, 341(6146):647-651, 2013.
15. Jukka-Pekka Onnela and Felix Reed-Tsochas. Spontaneous emergence of social influence in online systems. Proceedings of the National Academy of Sciences, 107(43):18375-18380, 2010.
16. Wei Pan, Nadav Aharony, and Alex Pentland.composite social network for predicting mobile apps installation. CoRR, abs/1106.0359, 2011.
17. Bruno Ribeiro. Modeling and predicting the growth and death of membership-based websites. In Proceedings of the 23rd International Conference on World Wide Web, WWW 14, pages 653-664, New York, NY, USA, 2014. ACM.
18. Bruno Ribeiro and Christos Faloutsos. Modeling website popularity competition in the attention-Activity marketplace. arXiv preprint arXiv:1403.0600, 2014.
19. Everett M. Rogers. Diffusion of Innovations, 5th Edition. Free Press, August 2003.
20. Daniel M. Romero, Brendan Meeder, and Jon Kleinberg. Differences in the mechanics of information diffusion across topics: Idioms, political hashtags, and complex contagion on twitter. In Proceedings of the 20th International Conference on World Wide Web, WWW 11, pages 695-704, New York, NY, USA, 2011. ACM.
21. M.J. Salganik, P.S. Dodds, and D.J. Watts. Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market. Science, 311(5762):854-856, 2006.
22. Eric Sun, Itamar Rosenn, Cameron Marlow, and Thomas Lento. Gesundheit! Modeling Contagion through Facebook News Feed. In International AAAI Conference on Weblogs and Social Media, 2009.
23. Johan Ugander, Lars Backstrom, Cameron Marlow, and Jon Kleinberg. Structural diversity in social contagion. Proceedings of the National Academy of Sciences, 109(16):5962-5966, 2012.
24. Alexei Vázquez, João Gama Oliveira, Zoltán Dezsö, Kwang-Il Goh, Imre Kondor, and Albert-László Barabási. Modeling bursts and heavy tails in human dynamics. Phys. Rev. E, 73:036127, Mar 2006.
25. L. Weng, F. Menczer, and Y.-Y. Ahn. Virality prediction and community structure in social networks. Sci. Rep., 3(2522), 2013.
26. Shaomei Wu, Jake M. Hofman, Winter A. Mason, and Duncan J. Watts. Who says what to whom on twitter. In Proceedings of the 20th International Conference on World Wide Web, WWW 11, pages 705-714, New York, NY, USA, 2011. ACM.
27. Shaomei Wu, Chenhao Tan, Jon Kleinberg, and Michael Macy. Does bad news go away faster. In In In Proceedings of the International Conference on Weblogs and Social (ICWSM, 2011.
28. Jaewon Yang and Jure Leskovec. Patterns of temporal variation in online media. In Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, WSDM 11, pages 177-186, New York, NY, USA, 2011. ACM.
29. Jiang Yang, Xiao Wei, Mark S Ackerman, and Lada A Adamic. Activity lifespan: An analysis of user survival patterns in online knowledge sharing communities. In ICWSM, 2010.