Network’s reciprocity: a key determinant of information diffusion over Twitter

References

• Abubakre, M. A., M. N. Ravishankar, and C. R. Coombs. 2015. “The Role of Formal Controls in Facilitating Information System Diffusion.” Information & Management 52 (5): 599–609.
   Web of Science ®Google Scholar
• Albrecht, S., B. Lutz, and D. Neumann. 2019. “How Sentiment Impacts the Success of Blockchain Startups–An Analysis of Social Media Data and Initial Coin Offerings". Proceedings of the 52nd Hawaii International Conference on System Sciences.
   Google Scholar
• Alp, Z., and Ş Öğüdücü. 2018. “Identifying Topical Influencers on Twitter Based on User Behavior and Network Topology.” Knowledge-Based Systems 141: 211–221.
   Web of Science ®Google Scholar
• Arora, A., S. Bansal, C. Kandpal, R. Aswani, and Y. Dwivedi. 2019. “Measuring Social Media Influencer Index-Insights from Facebook, Twitter and Instagram.” Journal of Retailing and Consumer Services 49: 86–101.
   Web of Science ®Google Scholar
• Aswani, R., A. K. Kar, P. V. Ilavarasan, and Y. K. Dwivedi. 2018b. “Search Engine Marketing is not all Gold: Insights from Twitter and SEOClerks.” International Journal of Information Management 38 (1): 107–116.
   Web of Science ®Google Scholar
• Blau, P. M. 1964. Exchange and Power in Social Life. New York: New Brunswick.
   Google Scholar
• Cha, M., H. Haddadi, F. Benevenuto, and K. P. Gummadi. 2010. “Measuring user Influence in Twitter: The Million Follower Fallacy.” Fourth international AAAI conference on weblogs and social media.
   Google Scholar
• Chang, H. H., and S. S. Chuang. 2011. “Social Capital and Individual Motivations on Knowledge Sharing: Participant Involvement as a Moderator.” Information & Management 48 (1): 9–18.
   Web of Science ®Google Scholar
• Chen, C. L., F. S. Tseng, and T. Liang. 2010. “Mining Fuzzy Frequent Itemsets for Hierarchical Document Clustering.” Information Processing & Management 46 (2): 193–211.
   Web of Science ®Google Scholar
• Cheung, C. M., I. L. Liu, and M. K. Lee. 2015. “How Online Social Interactions Influence Customer Information Contribution Behavior in Online Social Shopping Communities: a Social Learning Theory Perspective.” Journal of the Association for Information Science and Technology 66 (12): 2511–2521.
   Web of Science ®Google Scholar
• Chiu, C. M., M. H. Hsu, and E. T. Wang. 2006. “Understanding Knowledge Sharing in Virtual Communities: An Integration of Social Capital and Social Cognitive Theories.” Decision Support Systems 42 (3): 1872–1888.
   Web of Science ®Google Scholar
• Cho, Y., J. Hwang, and D. Lee. 2012. “Identification of Effective Opinion Leaders in the Diffusion of Technological Innovation: A Social Network Approach.” Technological Forecasting and Social Change 79 (1): 97–106.
   Web of Science ®Google Scholar
• Donghao, Z., and H. Wenbao. 2014. “DiffRank: a Novel Algorithm for Information Diffusion Detection in Social Networks.” Chinese Journal of Computers 37 (4): 884–893.
   Google Scholar
• Dusa, A. 2001. “User Manual for the QCA(GUI) Package in R.” Journal of Business Research 60 (5): 576–586.
   Google Scholar
• Faraj, S., and S. L. Johnson. 2011. “Network Exchange Patterns in Online Communities.” Organization Science 22 (6): 1464–1480.
   Web of Science ®Google Scholar
• Fiss, P. C. 2011. “Building Better Causal Theories: a Fuzzy set Approach to Typologies in Organization Research.” Academy of Management Journal 54 (2): 393–420.
   Web of Science ®Google Scholar
• Gadek, G. P., N. Malandain, L. Vercouter, K. Khelif, S. Brunessaux, and B. Grilhères. 2018. “Topological and Topical Characterisation of Twitter User Communities.” Data Technologies and Applications 52 (4): 482–501.
   Web of Science ®Google Scholar
• Godes, D., and D. Mayzlin. 2004. “Using Online Conversations to Study Word-of-Mouth Communication.” Marketing Science 23 (4): 545–560.
   Web of Science ®Google Scholar
• Goldenberg, J., S. Han, D. R. Lehmann, and J. W. Hong. 2009. “The Role of Hubs in the Adoption Process.” Journal of Marketing 73 (2): 1–13.
   Web of Science ®Google Scholar
• Gouldner, A. W. 1960. “The Norm of Reciprocity: A Preliminary Statement.” American Sociological Review 25: 161–178.
   Web of Science ®Google Scholar
• Green, S. B. 1991. “How Many Subjects Does it Take to do a Regression Analysis.” Multivariate Behavioral Research 26 (3): 499–510.
   PubMed Web of Science ®Google Scholar
• Grover, P., A. K. Kar, and M. Janssen. 2019. “Diffusion of Blockchain Technology: Insights from Academic Literature and Social Media Analytics.” Journal of Enterprise Information Management 32 (5): 735–757.
   Web of Science ®Google Scholar
• Hair, J. F., R. E. Anderson, R. L. Tatham, and W. C. Black. 1998. Multivariate Data Analysis. Upper Saddle River, NJ: Pearson.
   Google Scholar
• Hoang, T. A., and E. P. Lim. 2016. “Microblogging Content Propagation Modeling Using Topic-Specific Behavioral Factors.” IEEE Transactions on Knowledge and Data Engineering 28 (9): 2407–2422.
   Web of Science ®Google Scholar
• Holton, A., K. Baek, M. Coddington, and C. Yaschur. 2014. “Seeking and Sharing: Motivations for Linking on Twitter.” Communication Research Reports 31: 33–40.
   Google Scholar
• Kayser, V., and A. Bierwisch. 2016. “Using Twitter for Foresight: An Opportunity?” Futures 84: 50–63.
   Web of Science ®Google Scholar
• Kozinets, R. V., K. D. Valck, A. C. Wojnicki, and S. J. Wilner. 2010. “Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities.” Journal of Marketing 74 (2): 71–89.
   Web of Science ®Google Scholar
• Kwak, H., C. Lee, H. Park, and S. Moon. 2010. “What is Twitter, a Social Network or a News Media?” Proceedings of the 19th International Conference on World Wide Web, 591–600. Raleigh, North Carolina, USA: Association for Computing Machinery.
   Google Scholar
• Lee, K. C., H. K. Oh, G. Park, S. Park, B. Suh, W. K. Bae, J. W. Kim, et al. 2016. “Transmissibility of the Campaign for Colorectal Cancer Awareness in Korea among Twitter Users.” Annals of Coloproctology 32 (5): 184.
   PubMed Web of Science ®Google Scholar
• Leischnig, A., and K. Kasper-Brauer. 2015. “Employee Adaptive Behavior in Service Enactments.” Journal of Business Research 68 (2): 273–280.
   Web of Science ®Google Scholar
• Li, Y.-M., C.-Y. Lai, and L.-F. Lin. 2016. “A Diffusion Planning Mechanism for Social Marketing.” Information & Management 54 (5): 638–650.
   Web of Science ®Google Scholar
• Li, Y. M., and Y. L. Shiu. 2012. “A Diffusion Mechanism for Social Advertising Over Microblogs.” Decision Support Systems 54 (1): 9–22.
   Web of Science ®Google Scholar
• Li, Lifang, Q. Zhang, J. Tian, and H. Wang. 2018. “Characterizing Information Propagation Patterns in Emergencies: A Case Study with Yiliang Earthquake.” International Journal of Information Management 38: 34–41.
   Web of Science ®Google Scholar
• Lischke, M., and B. Fabian. 2016. “Analyzing the Bitcoin Network: The First Four Years.” Future Internet 8 (1): 7.
   Web of Science ®Google Scholar
• Liu, Z., L. Liu, and H. Li. 2012. “Determinants of Information Retweeting in Microblogging.” Internet Research 22 (4): 443–466.
   Web of Science ®Google Scholar
• Lynn, T., P. Rosati, and G. Fox. 2018. “Legitimizing# Blockchain: An Empirical Analysis of Firm-Level Social Media Messaging on Twitter". Twenty-Sixth European Conference on Information Systems (ECIS2018). Portsmouth, UK.
   Google Scholar
• Ma, L., B. Sun, and S. Kekre. 2015. “The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter.” Marketing Science 34 (5): 627–645.
   Web of Science ®Google Scholar
• Malhotra, A., C. K. Malhotra, and A. See. 2012. “How to get Your Messages Retweeted.” MIT Sloan Management Review 53 (2): 61–66.
   Web of Science ®Google Scholar
• Marwick, A. E., and D. Boyd. 2011. “I Tweet Honestly, I Tweet Passionately: Twitter Users, Context Collapse, and the Imagined Audience.” New Media & Society 13 (1): 114–133.
   Web of Science ®Google Scholar
• McLean, R., B. H. Richards, and J. I. Wardman. 2007. “The Effect of Web 2.0 on the Future of Medical Practice and Education: Darwikinian Evolution or Folksonomic Revolution?” Medical Journal of Australia 187 (3): 174–177.
   PubMed Web of Science ®Google Scholar
• Meeyoung, C., H. Haddadi, F. Benevenuto, and P. K. Gummadi. 2010. “Measuring User Influence in Twitter: The Million Follower Fallacy.” Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, 10–17.
   Google Scholar
• Miles, B. 2017. “6 Trends From CoinDesk's New 2017 State of Blockchain Out Today.” https://www.coindesk.com/6-top-trends-coindesks-2017-state-blockchain-report/.
   Google Scholar
• Ngai, E. W., S. S. Tao, and K. K. Moon. 2015. “Social Media Research: Theories, Constructs, and Conceptual Frameworks.” International Journal of Information Management 35 (1): 33–44.
   Web of Science ®Google Scholar
• Nowak, M. A. 2006. “Five Rules for the Evolution of Cooperation.” Science 314 (5805): 1560–1563.
   PubMed Web of Science ®Google Scholar
• Pal, A., and S. Counts. 2011. “Identifying Topical Authorities in Microblogs.” Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, 45–54. New York, NY, USA: ACM.
   Google Scholar
• Raab, J., R. Mannak, M. Meeus, and S. Smit. 2013. “Rival, Substitutable or Complementary? Comparing the Configurational and Linear Additive Analysis of Innovative Outcomes of R&D consortia.” International Conference at Goethe-University.
   Google Scholar
• Ragin, C. C. 2009. Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press.
   Google Scholar
• Schumann, J. H., F. v. Wangenheim, and N. Groene. 2014. “Targeted Online Advertising: Using Reciprocity Appeals to Increase Acceptance among Users of Free web Services.” Journal of Marketing 78 (1): 59–75.
   Web of Science ®Google Scholar
• Scott, S. V., and W. J. Orlikowski. 2014. “Entanglements in Practice: Performing Anonymity Through Social Media.” MIS Quarterly 38 (3): 873–893.
   Web of Science ®Google Scholar
• Shi, J., P. Hu, K. K. Lai, and G. Chen. 2018. “Determinants of Users’ Information Dissemination Behavior on Social Networking Sites: An Elaboration Likelihood Model Perspective.” Internet Research 28 (2): 393–418.
   Web of Science ®Google Scholar
• Shi, Z., H. Rui, and A. B. Whinston. 2014. “Content Sharing in a Social Broadcasting Environment: Evidence from Twitter.” MIS Quarterly 38 (1): 123–142.
   Web of Science ®Google Scholar
• Starbird, K., and L. Palen. 2010. “Pass It On?: Retweeting in Mass Emergency.” Proceedings of the 7th International Information Systems for Crisis Response and Management Conference, 1–10. Seattle, USA: ISCRAM.
   Google Scholar
• Stephen, A. T., and O. Toubia. 2010. “Deriving Value from Social Commerce Networks.” Journal of Marketing Research 47 (2): 215–228.
   Web of Science ®Google Scholar
• Stieglitz, S., and L. Dang-Xuan. 2011. The Role of Sentiment in Information Propagation on Twitter–An Empirical Analysis of Affective Dimensions in Political Tweets.
   Google Scholar
• Stieglitz, S., and L. Dang-Xuan. 2012. “Political Communication and Influence through Microblogging–An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior.” 45th Hawaii International Conference on System Science, 3500–3509. Maui, HI, USA: Institute of Electrical and Electronics Engineers.
   Google Scholar
• Suh, B., L. Hong, P. Pirolli, and E. H. Chi. 2010. “Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network.” IEEE Second International Conference on Social Computing, 177–184. Minneapolis, MN, USA: Institute of Electrical and Electronics Engineers.
   Google Scholar
• Tempini, N. 2017. “Till Data do us Part: Understanding Data-Based Value Creation in Data-Intensive Infrastructures.” Information and Organization 27 (4): 191–210.
   Web of Science ®Google Scholar
• Tóth, Z., C. Thiesbrummel, S. C. Henneberg, and P. Naudé. 2015. “Understanding Configurations of Relational Attractiveness of the Customer Firm Using Fuzzy set QCA.” Journal of Business Research 68 (3): 723–734.
   Web of Science ®Google Scholar
• Van De Velde, B., A. Meijer, and V. Homburg. 2015. “Police Message Diffusion on Twitter: Analysing the Reach of Social Media Communications.” Behaviour & Information Technology 34 (1): 4–16.
   Web of Science ®Google Scholar
• Wang, G. A., J. Jiao, A. S. Abrahams, W. Fan, and Z. Zhang. 2013. “ExpertRank: A Topic-Aware Expert Finding Algorithm for Online Knowledge Communities.” Decision Support Systems 54 (3): 1442–1451.
   Web of Science ®Google Scholar
• Wasko, M. M., and S. Faraj. 2005. “Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice.” MIS Quarterly 29 (1): 35–57.
   Web of Science ®Google Scholar
• Weng, J., E. P. Lim, J. Jiang, and Q. He. 2010. “Twitterrank: Finding Topic-sensitive Influential Twitterers.” Proceedings of the third ACM International Conference on Web Search and Data Mining, 261–270. New York, USA: Association for Computing Machinery.
   Google Scholar
• Wiertz, C., and K. de Ruyter. 2007. “Beyond the Call of Duty: Why Customers Contribute to Firm-Hosted Commercial Online Communities.” Organization Studies 28 (3): 347–376.
   Web of Science ®Google Scholar
• Wigand, F. D. 2010. “Twitter in Government: Building Relationships one Tweet at a Time.” Third International Conference on Information Technology: New Generations, 563–567. Las Vegas, Nevada, USA: Institute of Electrical and Electronics Engineers.
   Google Scholar
• Woodside, A. G. 2013. “Moving Beyond Multiple Regression Analysis to Algorithms: Calling for Adoption of a Paradigm Shift from Symmetric to Asymmetric Thinking in Data Analysis and Crafting Theory.” Journal of Business Research 66 (4): 463–472.
   Web of Science ®Google Scholar
• Yu, D., N. Chen, and X. Ran. 2016. “Computational Modeling of Weibo User Influence Based on Information Interactive Network.” Online Information Review 40 (7): 867–881.
   Web of Science ®Google Scholar