Weitere Kapitel dieses Buchs durch Wischen aufrufen
Encouraging lurkers to more actively participate in the OSN life, a.k.a. delurking, is desirable in order to make lurkers’ social capital available to other users. In this chapter, we discuss in detail the delurking problem and computational approaches to solve it. We first provide an overview of works focusing on user engagement methodologies to understand how users can be motivated to participate and contribute to the community living in a social environment. Then we concentrate on the presentation of algorithmic solutions to support the task of persuading lurkers to become active participants in their OSN.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Boundary spanning. In R. Alhajj and J. Rokne, editors, Encyclopedia of Social Network Analysis and Mining, page 82. 2014.
Ç. Aslay, W. Lu, F. Bonchi, A. Goyal, and L. V. S. Lakshmanan. Viral marketing meets social advertising: Ad allocation with minimum regret. PVLDB, 8(7):822–833, 2015.
E. Bakshy, I. Rosenn, C. Marlow, and L. A. Adamic. The role of social networks in information diffusion. In Proc. World Wide Web Conf. (WWW), pages 519–528, 2012.
Q. Bao, W. K. Cheung, and Y. Zhang. Incorporating structural diversity of neighbors in a diffusion model for social networks. In Proc. IEEE/WIC/ACM Int. Conf. on Web Intelligence, pages 431–438, 2013.
Nicola Barbieri, Fabrizio Silvestri, and Mounia Lalmas. Improving post-click user engagement on native ads via survival analysis. In Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11-15, 2016, pages 761–770, 2016.
F. Bonchi. Influence propagation in social networks: A data mining perspective. IEEE Intelligent Informatics Bulletin, 12(1):8–16, 2011.
A. Caliò, R. Interdonato, C. Pulice, and A. Tagarelli. Topology-driven diversity for targeted influence maximization with application to user engagement in social networks. IEEE Transactions on Knowledge and Data Engineering, 2018.
J. Cranefield, P. Yoong, and S. L. Huff. Beyond Lurking: The Invisible Follower-Feeder In An Online Community Ecosystem. In Proc. Pacific Asia Conf. on Information Systems (PACIS), page 50, 2011.
Ali Darejeh and Siti Salwah Salim. Gamification solutions to enhance software user engagement - A systematic review. Int. J. Hum. Comput. Interaction, 32(8):613–642, 2016.
Y.-H. Fu, C.-Y. Huang, and C.-T. Sun. Using global diversity and local topology features to identify influential network spreaders. Physica A: Statistical Mechanics and its Applications, 433(C):344–355, 2015. CrossRef
Paul Michael Di Gangi and Molly McLure Wasko. Social media engagement theory: Exploring the influence of user engagement on social media usage. JOEUC, 28(2):53–73, 2016.
A. Goyal, W. Lu, and L. V. S. Lakshmanan. SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model. In Proc. IEEE Int. Conf. on Data Mining (ICDM), pages 211–220, 2011.
A. Guille, H. Hacid, C. Favre, and D. A. Zighed. Information diffusion in online social networks: a survey. SIGMOD Record, 42(2):17–28, 2013. CrossRef
B. Guler, B. Varan, K. Tutuncuoglu, M. S. Nafea, A. A. Zewail, A. Yener, and D. Octeau. Optimal strategies for targeted influence in signed networks. In Proc. Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM), pages 906–911, 2014.
J. Guo, P. Zhang, C. Zhou, Y. Cao, and L. Guo. Personalized influence maximization on social networks. In Proc. ACM Conf. on Information and Knowledge Management (CIKM), pages 199–208, 2013.
D. A. Harrison and K. J. Klein. What’s the difference? diversity constructs as separation, variety, or disparity in organizations. Academy of Management Review, 32:1199–1228, 2007. CrossRef
Nathan O. Hodas, Ryan Butner, and Courtney Corley. How a user’s personality influences content engagement in social media. In Social Informatics - 8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016, Proceedings, Part I, pages 481–493, 2016.
Yuheng Hu, Shelly Farnham, and Kartik Talamadupula. Predicting user engagement on twitter with real-world events. In Proceedings of the Ninth International Conference on Web and Social Media, ICWSM 2015, University of Oxford, Oxford, UK, May 26-29, 2015, pages 168–178, 2015.
P.-Y. Huang, H.-Y. Liu, C.-H. Chen, and P.-J. Cheng. The impact of social diversity and dynamic influence propagation for identifying influencers in social networks. In Proc. IEEE/WIC/ACM Int. Conf. on Web Intelligence, pages 410–416, 2013.
R. Interdonato, C. Pulice, and A. Tagarelli. “Got to have faith!”: The DEvOTION algorithm for delurking in social networks. In Proc. Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM), pages 314–319, 2015.
R. Interdonato, C. Pulice, and A. Tagarelli. Community-based delurking in social networks. In Proc. Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM), 2016.
Roberto Interdonato, Chiara Pulice, and Andrea Tagarelli. The DEvOTION Algorithm for Delurking in Social Networks, pages 77–106. Springer International Publishing, 2017.
D. Kempe, J. M. Kleinberg, and E. Tardos. Maximizing the spread of influence through a social network. In Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), pages 137–146, 2003.
M. Laeeq Khan. Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66:236–247, 2017. CrossRef
Hamid Khobzi and Babak Teimourpour. LCP segmentation: A framework for evaluation of user engagement in online social networks. Computers in Human Behavior, 50:101–107, 2015. CrossRef
J. Kunegis, S. Sizov, F. Schwagereit, and D. Fay. Diversity dynamics in online networks. In Proc. ACM Conf. on Hypertext and Social Media (HT), pages 255–264, 2012.
H.-M. Lai and T. T. Chen. Knowledge sharing in interest online communities: A comparison of posters and lurkers. Computers in Human Behavior, 35:295–306, 2014. CrossRef
H. Li, S. S. Bhowmick, A. Sun, and J. Cui. Conformity-aware influence maximization in online social networks. The VLDB Journal, 24:117–141, 2015. CrossRef
Y. Li, D. Zhang, and K.-L. Tan. Real-time targeted influence maximization for online advertisements. PVLDB, 8(10):1070–1081, 2015.
Leora Mauda and Yoram M. Kalman. Characterizing quantitative measures of user engagement on organizational facebook pages. In 49th Hawaii International Conference on System Sciences, HICSS 2016, Koloa, HI, USA, January 5-8, 2016, pages 3526–3535, 2016.
A. Nazi, M. Das, and G. Das. The TagAdvisor: Luring the Lurkers to Review Web Items. In Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD), pages 531–543, 2015.
M. E. J. Newman and M. Girvan. Finding and evaluating community structure in networks. Phys. Rev. E, 69(2):026113, 2004.
Mark Newman. Networks: An Introduction. Oxford University Press, Inc., New York, NY, USA, 2010. CrossRef
Heather O’Brien and Paul A. Cairns. An empirical evaluation of the user engagement scale (UES) in online news environments. Inf. Process. Manage., 51(4):413–427, 2015. CrossRef
Z. Pan, Y. Lu, and S. Gupta. How heterogeneous community engage newcomers? The effect of community diversity on newcomers’ perception of inclusion: An empirical study in social media service. Computers in Human Behavior, 39:100–111, 2014. CrossRef
K. W. Phillips. How diversity makes us smarter. Scientific American, 311(4), October 2014.
Soumya Ray, Sung S. Kim, and James G. Morris. The central role of engagement in online communities. Information Systems Research, 25(3):528–546, 2014. CrossRef
L. Robert and D. M. Romero. Crowd size, diversity and performance. In Proc. ACM Conf. on Human Factors in Computing Systems (CHI), pages 1379–1382, 2015.
Giulio Rossetti, Luca Pappalardo, Riivo Kikas, Dino Pedreschi, Fosca Giannotti, and Marlon Dumas. Community-centric analysis of user engagement in Skype social network. In Proc. Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM), pages 547–552, 2015.
K. Saito, K. Ohara, Y. Yamagishi, M. Kimura, and H. Motoda. Learning Diffusion Probability Based on Node Attributes in Social Networks. In Proc. Int. Symposium on Methodologies for Intelligent Systems (ISMIS), pages 153–162, 2011.
Shumpei Sano, Nobuhiro Kaji, and Manabu Sassano. Prediction of prospective user engagement with intelligent assistants. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers, 2016.
F. C. Santos, M. D. Santos, and J.M. Pacheco. Social diversity promotes the emergence of cooperation in public goods games. Nature, 454:231–216, 2008.
V. Soroka and S. Rafaeli. Invisible participants: how cultural capital relates to lurking behavior. In Proc. ACM Conf. on World Wide Web (WWW), pages 163–172, 2006.
N. Sun, P. P.-L. Rau, and L. Ma. Understanding lurkers in online communities: a literature review. Computers in Human Behavior, 38:110–117, 2014. CrossRef
A. Tagarelli and R. Interdonato. Lurking in social networks: topology-based analysis and ranking methods. Social Netw. Analys. Mining, 4(230):27, 2014.
F. Tang, Q. Liu, H. Zhu, E. Chen, and F. Zhu. Diversified social influence maximization. In Proc. Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM), pages 455–459, 2014.
L. Tang and H. Liu. Community detection and mining in social media. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool, 2010.
Y. Tang, X. Xiao, and Y. Shi. Influence maximization: near-optimal time complexity meets practical efficiency. In Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD), pages 75–86, 2014.
L. Weng, J. Ratkiewicz, N. Perra, B. Gonçalves, C. Castillo, F. Bonchi, R. Schifanella, F. Menczer, and A. Flammini. The role of information diffusion in the evolution of social networks. In Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), pages 356–364, 2013.
D.-N. Yang, H.-J. Hung, Wa.-C. Lee, and W. Chen. Maximizing acceptance probability for active friending in online social networks. In Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), pages 713–721, 2013.
Xiabing Zheng, Christy M. K. Cheung, Matthew K. O. Lee, and Liang Liang. Building brand loyalty through user engagement in online brand communities in social networking sites. IT & People, 28(1):90–106, 2015.
- Chapter 6
Neuer Inhalt/© ITandMEDIA, Best Practices für die Mitarbeiter-Partizipation in der Produktentwicklung/© astrosystem | stock.adobe.com