Haneen AlRawashdeh
- Irena Pletikosa Cvijikj and Florian Michahelles. 2013. Online engagement factors on Facebook brand pages. Social Network Analysis and Mining 3, 4 (2013), 843--861. Google Scholar
Cross Ref
- Munmun De Choudhury, Yu-Ru Lin, Hari Sundaram, K Selcuk Candan, Lexing Xie, Aisling Kelliher, et al. 2010. How does the data sampling strategy impact the discovery of information diffusion in social media? ICWSM 10 (2010), 34--41.Google Scholar
- Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, and Hongyuan Zha. 2016. Multistage campaigning in social networks. In Advances in Neural Information Processing Systems. 4718--4726.Google Scholar
- Wu He, Shenghua Zha, and Ling Li. 2013. Social media competitive analysis and text mining: A case study in the pizza industry. International Journal of Information Management 33, 3 (2013), 464--472. Google ScholarCross Ref
- Andreas M Kaplan and Michael Haenlein. 2010. Users of the world, unite! The challenges and opportunities of Social Media. Business horizons 53, 1 (2010), 59--68. Google ScholarCross Ref
- PH Keckley and M Hofman. 2010. Social Networks in Health Care: Communication, Collaboration and Insights [online] Issue Brief. The Deloitte Centre for Health Solutions. (2010).Google Scholar
- Linchi Kwok and Bei Yu. 2013. Spreading social media messages on facebook an analysis of restaurant business-to-consumer communications. Cornell Hospitality Quarterly 54, 1 (2013), 84--94. Google ScholarCross Ref
- Ivy LB Liu, Christy MK Cheung, and Matthew KO Lee. 2010. Understanding Twitter Usage: What Drive People Continue to Tweet.. In PACIS. 92.Google Scholar
- John Raacke and Jennifer Bonds-Raacke. 2008. MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites. Cyberpsychology & behavior 11, 2 (2008), 169--174. Google ScholarCross Ref
- Adithya Rao, Nemanja Spasojevic, Zhisheng Li, and Trevor DSouza. 2015. Klout score: Measuring influence across multiple social networks. In Big Data (Big Data), 2015 IEEE International Conference on. IEEE, 2282--2289.Google ScholarDigital Library
- Bernardo A Sitaram Asur. 2010. Huberman. PredictingtheFutureWithsoîĂŚ cial-Media (2010).Google Scholar
- Nemanja Spasojevic, Zhisheng Li, Adithya Rao, and Prantik Bhattacharyya. 2015. When-to-post on social networks. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2127--2136. Google ScholarDigital Library
- Chris Sumner, Alison Byers, Rachel Boochever, and Gregory J Park. 2012. Predicting dark triad personality traits from twitter usage and a linguistic analysis of tweets. In Machine Learning and Applications (ICMLA), 2012 11th International Conference on, Vol. 2. IEEE, 386--393.Google ScholarDigital Library
- Sebastián Valenzuela, Namsu Park, and Kerk F Kee. 2009. Is there social capital in a social network site?: Facebook use and college students' life satisfaction, trust, and participation1. Journal of Computer-Mediated Communication 14, 4 (2009), 875--901. Google ScholarCross Ref
- Wann Yih Wu, Hsi-An Shih, and Hui-Chun Chan. 2009. The analytic network process for partner selection criteria in strategic alliances. Expert Systems with Applications 36, 3 (2009), 4646--4653. Google ScholarDigital Library
- How post time and type affect user engagement on public profiles in the Arab World
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