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Moti Zwilling
Ariel University
Data miningMarketingConjoint analysisComputer scienceKnowledge management
16Publications
4H-index
88Citations
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Publications 19
Newest
#1Moti Zwilling (Ariel University)H-Index: 4
#2Galit Klien (Ariel University)
Last. Hamdullah Nejat Basım (Başkent University)H-Index: 1
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ABSTRACTCyber-attacks represent a potential threat to information security. As rates of data usage and internet consumption continue to increase, cyber awareness turned to be increasingly urgent. T...
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#1Moti Zwilling (Ariel University)H-Index: 4
#2Shalom Levy (Ariel University)H-Index: 8
Last. Peter Dostal (Brno University of Technology)
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The impact of the development of the internet and new communications channels on the marketing industry pushed practitioners to devise new tools and approaches for influencing consumer attitudes and behaviors towards products and services. This has led to new insights into persuasive message design. In general, persuasive advertisement messaging can be viewed as a combination of context, i.e., a message, and additional affiliated components such as images, video, and special graphics. It is comp...
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#1Alon Sela (Ariel University)
#2Orit Cohen-Milo (HUJI: Hebrew University of Jerusalem)
Last. Irad Ben-Gal (TAU: Tel Aviv University)H-Index: 14
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In this article, a new operation mode of social bots is presented. It includes a creation of social bots in dense, highly-connected, sub structures in the network, named Spreading Groups. Spreading Groups are groups of bots and human-managed accounts that operate in social networks. They are often used to bias the natural opinion spread and to promote and over represent an agenda. These bots accounts are mixed with regular users, while repeatedly echoing their agenda, disguised as real humans wh...
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#1Uzi Ben-Shalom (Ariel University)H-Index: 3
#2Amit Dvir (Ariel University)H-Index: 8
Last. Eithan Orkibi (Ariel University)H-Index: 2
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AbstractThis article investigates the feasibility of monitoring data obtained from comments posted by basketball fans on their Facebook pages to predict players’ aggression in Israeli basketball ma...
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#1Uzi Ben Shalom (Ariel University)H-Index: 1
#2Amit Dvir (Ariel University)H-Index: 8
Last. Ofir Pele (Ariel University)H-Index: 8
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This study explored the relevancy of internet discourse among football fans and real-life stadium violence. Our hypothesis implies that there are positive correlations between violent utterances in...
2 CitationsSource
#1Roi D. Taussig (Ariel University)H-Index: 1
#2Dror Tobi (Ariel University)H-Index: 16
Last. Moti Zwilling (Ariel University)H-Index: 4
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The holy grail for scholars and practitioners of finance is to comprehend the behavior of equity returns. This research extends that comprehension by integrating methods from the field of bioinformatics into the capital asset pricing model. We examine 198,499 firm-year observations for stocks traded on the NYSE, the NASDAQ, and the AMEX from July 1963 to June 2014. Whereas the conventional models invoke beta as the measure of variability in equity returns, our model adopts the dynamic programmin...
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#1Ze'ev Shtudiner (Ariel University)H-Index: 5
#2Galit Klein (Ariel University)H-Index: 3
Last. Jeffrey Kantor (Ariel University)H-Index: 4
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Souvenir purchases has emerged as an important area of research in tourism studies. We investigate tourists’ attachment to souvenirs based on religion, type, and place of purchase, and analyze the endowment effect. We asked 3325 Jewish and Christian tourists visiting Israel to estimate the price they would pay/accept for three types of souvenir: Jewish, Christian, and general souvenirs. Overall, we found an endowment effect toward most of the souvenirs. The results demonstrated that religion, ty...
1 CitationsSource
#1Merav Allouch (Ariel University)
#2Amos Azaria (Ariel University)H-Index: 15
Last. Ditza A. Zachor (TAU: Tel Aviv University)H-Index: 19
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An overall goal of our work is to use machine-learning based solutions to assist children with communication difficulties in their communication task. In this paper, we concentrate on the problem of recognizing insulting sentences the child says, or insulting sentences that are told to him. An automated agent that is able to recognize such sentences can alert the child in real time situations, and can suggest how to respond to the resulting social situation. We composed a dataset of 1241 non-ins...
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This paper aims to measure personal preferences regarding various attributes that affect choice of city of residence in the long term. A conjoint questionnaire was formulated in order to measure consumer perception of the importance of various attributes, such as quality of education, distance from work, average property price, and distance from family. Each attribute is composed of two categorical levels: high and low. The findings reveal which of the attributes is the most effective based on t...
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#1Ze'ev Shtudiner (Ariel University)H-Index: 5
#2Moti Zwilling (Ariel University)H-Index: 4
Last. Jeffrey Kantor (Ariel University)H-Index: 4
view all 3 authors...
This paper aims to measure student's preferences regarding various attributes that affect their decision process while choosing a higher education area of study. The study exhibits two different models which shed light on the perceived value of each examined area of study: 1. Conjoint Analysis and 2. Clustering K-Means algorithm. The findings of the used methods exhibit not only which of the attributes have the greatest influence on students’ decision-making processes, but also shed light on whi...
4 CitationsSource
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