(Partial list)
Yahav I., Schwartz D., and Welcman Y. (2019). The Journey to Engaged Customer Community: Evidential Social CRM Maturity Model in Twitter. Applied Stochastic Models in Business and Industry. In press.
Geva T., and Yahav I. (2019). Data-Driven Link Screening for Increasing Network Predictability. IEEE Transactions on Knowledge and Data Engineering. In press.
Yahav, I., Shehory, O., & Schwartz, D. (2018). Comments Mining With TF-IDF: The Inherent Bias and Its Removal. IEEE Transactions on Knowledge and Data Engineering. Doi: 10.1109/TKDE.2018.2840127
Yahav I, & Schwartz D. (2018) Citizen engagement and the illusion of secrecy: exploring commenter characteristics in censored online news articles, Information, Communication & Society, 21(11), 1620-1638
Cascavilla, G., Conti, M., Schwartz, D. G., & Yahav, I. (2018). The insider on the outside: a novel system for the detection of information leakers in social networks. European Journal of Information Systems, 27(4), 470-582.
Shmueli, G., & Yahav, I. (2018). The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees. Production and Operations Management, 27(4), 696-716.
Yahav I., Shmueli G., Mani D. (2016). A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data. MIS Quarterly. 40(4), pp. 819-848.
