Prof. Gilad Ravid
- Associate Professor
- Researcher
Who am i ?
Personal Details
I'm Gilad Ravid member of the Information Systems group at the Industrial Engineering and Management department at the Ben Gurion University of the Negev, Israel. My main interests are in SNA (Social Network Analysis), Knowledge Management, Information Sharing, and Agricultural Technologies
- Name:Prof. Gilad Ravid
- Email: gilad@ravid.org
- Phone:+972-544-905-391
- Date of birth: 31 October, 1968
- Address:Industrial Engineering and Management Department, Ben Gurion University of the Negev, POB 653, Beer-Sheva, Israel
My Background
Work Experience
2017December - Current
Ben Gurion University of the Negev
Associate Professor
member of the Information Systems (IS) group at the Industrial Engineering and Management (IEM) Department in the faculty for Engineering sciences.
2005October - 2017December
Ben Gurion University of the Negev
Senior Lecturer
member of the Information Systems (IS) group at the Industrial Engineering and Management (IEM) Department in the faculty for Engineering sciences.
1996September - 2005September
The Open University of Israel
Chief Technology Officer at Shoham
Technological management of various learning technology tool include LMS (Learning Management System), multimedia titles, satellite based broadcasting system and more
1995June - 1996August
Macom Tikshov
Projects Manager
Macom Tikshov - First web presence building company in Israel. responsible for multiple projects and clients.
1990September - 1995May
Kibutz Gilgal
Dates Growner
worked in dates orchard
My Education
Education
2006August - 2007August
Uninersity of Southern California
Post-Doc @ Annenberg Center for Communication
1998October - 2004July
University of Haifa
Ph.D. @ Graduate School of Business
1995October - 1997July
Hebrew University of Jerusalem
MBA @ School of Business Administration
1990October - 1994July
Technion - Israel Institute of Technology
B.Sc. @ Agricutural Engineering
My work
Journal Papers
Objective: In this study, we contributed to closing this gap by providing a framework for identifying patients with inflammatory bowel disease (IBD) on Twitter and learning from their personal experiences. We enabled the analysis of patients’ tweets by building a classifier of Twitter users that distinguishes patients from other entities. This study aimed to uncover the potential of using Twitter data to promote the well-being of patients with IBD by relying on the wisdom of the crowd to identify healthy lifestyles. We sought to leverage posts describing patients’ daily activities and their influence on their well-being to characterize lifestyle-related treatments.
Methods: In the first stage of the study, a machine learning method combining social network analysis and natural language processing was used to automatically classify users as patients or not. We considered 3 types of features: the user’s behavior on Twitter, the content of the user’s tweets, and the social structure of the user’s network. We compared the performances of several classification algorithms within 2 classification approaches. One classified each tweet and deduced the user’s class from their tweet-level classification. The other aggregated tweet-level features to user-level features and classified the users themselves. Different classification algorithms were examined and compared using 4 measures: precision, recall, F1 score, and the area under the receiver operating characteristic curve. In the second stage, a classifier from the first stage was used to collect patients' tweets describing the different lifestyles patients adopt to deal with their disease. Using IBM Watson Service for entity sentiment analysis, we calculated the average sentiment of 420 lifestyle-related words that patients with IBD use when describing their daily routine.
Results: Both classification approaches showed promising results. Although the precision rates were slightly higher for the tweet-level approach, the recall and area under the receiver operating characteristic curve of the user-level approach were significantly better. Sentiment analysis of tweets written by patients with IBD identified frequently mentioned lifestyles and their influence on patients’ well-being. The findings reinforced what is known about suitable nutrition for IBD as several foods known to cause inflammation were pointed out in negative sentiment, whereas relaxing activities and anti-inflammatory foods surfaced in a positive context.
Conclusions: This study suggests a pipeline for identifying patients with IBD on Twitter and collecting their tweets to analyze the experimental knowledge they share. These methods can be adapted to other diseases and enhance medical research on chronic conditions.
Design/methodology/approach The theoretical foundations of the study are based on two existing models of information searching related to everyday life problems, Foster’s non-linear model of information seeking behavior and Bates’s berry-picking approach. This research employs a qualitative method. A total of 35 advisors in different SHIL branches were interviewed and the content of the interviews was analyzed, mapped and organized into categories by using concepts and terms revealed in the data.
Findings Findings show that volunteers at SHIL search information in a way that integrates the two models mentioned above, the berry-picking model and the non-linear model. In addition, findings point to difficulties that the advisors face in solving problems of the clients. These difficulties are connected with the different aspects relating to the flow of information both within and outside the organization and with organizational and administrative aspects at SHIL.
Originality/value The information seeking behavior of volunteers acting as providers of information services has yet to be investigated at length and the understanding of their information behavior can be of value, since volunteering carries great importance in a democracy.
My work
Selected Conference Papers
HICSS
Maui, HI
Atlas, M., Gavius, A., & Ravid, G. (2023). The Role of Followers and Followees in the Adoption of Innovations.
HICSS
Maui, HI
Stemmer, M., Parmet, Y., & Ravid, G. (2023). #MyIBDHistory on Twitter: Identifying Disease Characteristics using Personal Tweets
ECIS
Online
Stemmer, M., Parmet, Y. & Ravid, G. (2020). A Framework for Identifying Patients on Twitter and Learning from Their Personal Experience
HICSS
Maui, HI
Bartal, A., Ravid, G., & Tsur, O. (2020). Global Contagion of Non-Viral Information
HICSS
Big Island, HI
Codish, D., & Ravid, G.(2017). Gender Moderation in Gamification: Does One Size Fit All?
Sunbelt
Brighton, UK
Snir, R.& Ravid, G. (2015) Network Analysis Perspective On Global Nanotechnology Regulatory Governance.
CGCloud
London, UK
Codish, D. & Ravid, G. (2014) Adaptive Approach for Gamification Optimization.
The International Conference on Drylands, Deserts and Desertification
Sde Boker, Israel
Solomovich, L.,Ravid, G., Meir, A., Avni, N.,(2014). Collaboration of multicultural knowledge through Communication Technology - understanding the social - ecological coupled systems of the desert.
Meital
Tel Aviv, Israel
Solomovich, L.,Ravid, G., Meir, A., Avni, N.(2014). Challenges in the Learning Processes of Multi-Cultural Communities of Practice.
ECIS
Tel Aviv, Israel
Sasson, E., Ravid, G., & Pliskin, N., (2014) Text Mining and Temporal Trend Detection on the Internet for Technology Assessment: Model and Tool.
ECIS
Tel Aviv, Israel
Codish, D.& Ravid G. (2014) Personality Based Gamification: How Different Personalities Percive Gamification.
Chais
Raanana, Israel
Codish, D.& Ravid, G.(2014) Personality Based Gamification – Educational Gamification for Extroverts and Introverts (Awarded as Best Student Paper)
CSCW
Baltimore, MD
Kalman, M. Y. & Ravid, G. (2014) Email Inbox Management by Information Overloaded Users.
HICSS
Waikoloa, HI
Sasson, E., Ravid, G., & Pliskin, N. (2014) Modeling Technology Assessment via Knowledge Maps.
IBM's World Summit on Big Data and Organization Design
Paris, France
Sasson, E., Ravid, G. & Pliskin, N. (2013) Modeling Technology Assessment via Knowledge Maps based on Text Mining and Temporal Trend Detection.
IEM
Jerusalem, Israel
Sasson, E., Ravid, G. & Pliskin, N. (2013) Technology Assessment via Webometrics, Text Mining and Temporal Trend Detection.
ATISR
Taipei, Taiwan
Sasson, E., Ravid, G. & Pliskin, N. (2012). Technology Assessment via Bibliometrics, Text Mining and Temporal Trend Detection.
ICQR
Beer Sheva, Israel
Solomovich, L., Avni, N., & Ravid, G. (2012) Action Research, Development process and design of multicultural community of practice through E-learning environment for teachers who Teach science.
Sunbelt
Redondo Beach, CA
Ravid, G., Sasson, E., & Pliskin, N. (2012). Social Networks Analysis of Text Mining and Bibliometrics for IT Assessment.
IEM
Tel-Aviv, Israel
Sasson, E., Ravid, G., & Pliskin, N. (2012). Harnessing Text Mining and Bibliometrics Web Counts for modeling IT Assessment Framework and Automated Tool.
Meital
Tel Aviv, Israel
Solomovich, L., Avni, N., & Ravid G. (2011) Development process and design of multicultural community of practice through E-learning environment as a means of professional development of teachers in the periphery.
Opening Gates in Teacher Education"
Tel Aviv, Isreal
Solomovich, L. & Ravid G. (2011) Backchannels Usages in Online Community of Practice.
ILAIS
Tel Aviv, Israel
Sasson, E., Ravid, G. & Pliskin, N. (2011). Harnessing Text Mining and Bibliometrics Web Counts for Modeling IT Assessment Framework and Automated Tool.
Meital
Ra'anna, Israel
Solomovich, L. & Ravid G. (2010) Backchannels Usages in Online Community of Practice.
MCIS
Tel-Aviv, Israel
Ravid, G., Bar-Ilan, J., Baruchson-Arbib, S., Yaari, E., Rafaeli, S. & Weiss, N. (2010) A User Survey of a Site Providing Citizen Information: Preliminary Findings of Shil.Info.
Sunbelt
Riva Del Garrda, Italy
Ravid, G. & Currid, E. (2010) Celebrities as Category and Group: An Empirical Network Analysis of an Elite Population.
Sunbelt
Riva Del Garda, Italy
Bartal, A. & Ravid, G. (2010). Predicting Links in Social Networks: The Israeli Law System and Netflix.
Meital
Ra'anna, Israel
Solomovitz, L. & Ravid G. (2010) Backchannels Usages in Online Community of Practice.
AAGAM
Washington DC
Currid, E. & Ravid, G.I (2010) Star Markets in the Cultural Industries: An Empirical Network Analysis of Labor Pool Mobility in Los Angeles, New York and London.
IEM
Tel Aviv, Israel
Ravid, G. (2010) Wiki Books usage in Learning: the Introduction to Information Systems Course Case.
IEM
Tel Aviv, Israel
Bartal, A. & Ravid, G. (2010). Prediting Links in Social Networks: The Israeli Law System and Netflix.
Sunbelt
San Diego, USA
Bartal, A., Ravid, G., Pliskin, N. & Lerner, B. (2009) Predicting Links in Sparse Social Networks using Text Mining and Graph Theory.
ICDSS
San Francisco, CA
Levy, M., Pliskin, N. & Ravid, G. (2009) Assimilating Knowledge Management and Decision Support Systems into Business Processes.
ASONAM
Athens, Greece
Bartal, A., Sasson, E., Ravid, G. (2009) Predicting Links in Social Networks using Text Mining and SNA.
IEM
Maalot, Israel
Bartal, A., Ravid, G. & Sasson, E. (2009), Predicting Business Opportunities Using Social Networks.
Sunbelt
St. Pete Beach, FL
Ravid, G., Currid, E. (2008) How to Become Famous: Popular Culture Networks.
Sunbelt
St. Pete Beach, FL
Ravid, G., Yair, Y.,. Aviv, R. & Colin, P. (2008) Can Network Analysis and Simulation of Distant Thunderstorms Explain Spontaneous Synchronization of Lightning Flashes?
Meital
Haifa, Israel
Ravid, G. (2008) Social Structures in Open Spaces: Research Wiki Uses in Higher Education.
Meital
Haifa, Israel
Ravid, G. (2008) Game, Simulation and Simulation-Game in Information Systems Research and Learning.
Plinius Conference on Mediterranean Storms
Varenna, Italy
Yair, Y., Aviv, R., Ravid, G., Asfur, M. & Price, C. (2007) Transient Synchronization and Coupling of Lightning Activity in Severe Mediterranean Winter Thunderstorms.
CIIT
Banff, Alberta
Aviv, R., Erlich, Z. & Ravid, G. (2007) Randomness and Clustering of Responses in Online Learning Networks.
AoM Annual Meeting
Philadelphia, PA
Ravid, G. (2007) Open Large Shared Knowledge Construction Systems' Dominance: The Wikipedia Social Structure.
EGU General Assembly
Vienna, Austria
Yair, Y., Aviv, R., Price, C., Asfur, M. & Ravid, G., (2007) Can Spontaneous Synchronization of Lightning Flashes Occur in a Network of Distant Thunderstorms?
Chais
Ra'anana, Israel
Kalman, Y. M., Ravid, G., Raban, D. R., & Rafaeli, S. (2007) Are You Still Waiting for an Answer? The Chronemics of Asynchronous Written CMC.
ICA
Dresden, Germany
Kalman, Y. M., Ravid, G., Raban, D. R., & Rafaeli, S. (2006). Speak *now* or Forever Hold Your Peace: Power Law Chronemics of Turn-taking and Response in Asynchronous CMC.
IEM
Tel Aviv, Israel
Ravid, G. (2006). E-mail as Facilitator to Increase Revenues: Empirical Study.
NGITS
Shefayim, Israel
Ravid, G., Bar-Ilan, J., Baruchson-Arbib, S., & Rafaeli, S. (2006). Analysis of Queries Reaching SHIL on the Web. An Information System Providing Citizen Information.
Chais
Ra'anna, Israel
Ravid, G. & Rafaeli, S. (2006). Wikibooks for Academic Learning: On Going Research.
ISAGA
Atlanta, GA
Noy, A., Raban, D. R. & Ravid, G. (2005). Practicing What We Preach: Applying Theory to Game and Simulation Development.
AGU
San Francisco, CA
Yair, Y., Aviv, R., Ravid, G., Yaniv, R., Ziv, B., Price, C. (2005). Evidence for Synchronicity of Lightning Activity in Spatially Remote Thunderstorms Obtained from Space Shuttle Observations.
Group
Sanibel Island,FL
Rafaeli, S., Raban, D. R. & Ravid, G. (2005). Social and Economic Incentives in Google Answers.
URSI
New Delhi, India
Yair, Y., Aviv, R., Ravid, G., Yaniv, R., Ziv, B., Price, C. & Israelevitch, P. (2005). Space-Based Observation of Possible Electromagnetic Interactions between Distant Thunderstorms.
HICSS
Big Island, HI
Rafaeli, S., Ravid, G., & Soroka, V. (2004). De-lurking in Virtual Communities: A Social Communication Network Approach to Measuring the Effects of Social Capital.
Annual Conference on Computers and Education
Tel Aviv, Israel
Aviv, R., Erlich, Z., & Ravid, G. (2004). Structure of Social Capital, Group Design and Knowledge Construction in Discussion Forum: Quantitative Research.
Sunbelt
Portorož Slovenia
Aviv, R., Erlich, Z., & Ravid, G. (2004). Knowledge Construction, Virtual Neighborhoods Architecture, Mechanisms and Design Features in Online Communities.
Moach
Tel Aviv, Israel
Aviv, R., Erlich, Z., & Ravid, G. (2004). Social Capital, Group Design and Knowledge Construction in Forums: Quantitative study.
Moach
Tel Aviv, Israel
Ravid, G. , & Rafaeli, S. (2004). Small-World and Scale-Free Networks: A- synchronous Forums Research.
ICALT
Joensuu, Finland
Aviv, R., Erlich, Z., & Ravid, G. (2004). Mechanisms and Architectures of Online Learning Communities.
AECTIC
Chicago, IL
Aviv, R., Erlich, Z., & Ravid, G. (2004). Design and Architecture of Collaborative Online Communities: A Quantitative Analysis.
LINC
Cambridge, MA
Aviv, R., Erlich, Z., & Ravid, G. (2004). Design and Mechanisms on Knowledge Constructing Online Learning Communities.
SLOAN-C ALNC
Orlando, FL
Aviv, R., Erlich, Z., & Ravid, G. (2003). Network Analysis of Effective Knowledge Construction in Asynchronous Learning Networks.
ICICTE
Samos Island, Greece
Aviv, R., Erlich, Z. & Ravid, G. (2003). Network Analysis of Cooperative Learning.
ICALT
Athens, Greece
Aviv, R., Erlich, Z., & Ravid, G. (2003). Cohesion and Roles: Network Analysis of CSCL Communities.
IACIS
Las Vegas, NE
Aviv, R., Erlich, Z. & Ravid, G. (2003). Evolution of Social Capital Structures in Collaborative Online Learning Networks.
HICSS
ig Island, HI
Jones, G., Ravid, G. & Rafaeli, S. (2002). An Empirical Exploration of Mass Interaction System Dynamics: Individual Information Overload and Usenet Discourse.
INTERACT
Tokyo, Japan
Jones, G., Ravid, G. & Rafaeli, S. (2001). Information Overload and Virtual Public Discourse Boundaries.
CHI
Seattle, WA
Jones, G., Ravid, G., & Rafaeli, S. (2001). Empirical Evidence for Information Overload in Mass Interaction.
EuroGDSS
La Rochelle, France
Rafaeli, S. & Ravid, G.(2001). Research Through Online Simulation of Team Coordination, Communication, and Information Sharing.
WEBSIM
San Diego,CL
Ravid, G. & Rafaeli, S. (2000). Multi Player, Internet and Java Based Simulation Games: Learning and Research in Implementing a Computerized Version of the "Beer-Distribution Supply Chain Game".
ISECON
Orlando, FL
Rafaeli, S. & Ravid, G.S (1997). Online, Web Based Learning Environment for an Information Systems Course: Access Logs, Linearity and Performance.
My Students
Students
Phd Students
Elan Sasson with N. Pliskin (2010-2014)
Lior Solomovitz with A. Meir (2013-2019)
David Codish (2015-2019)
Alon Bartal (2015-2019)
Maya Stemmer with Y. Parmet (2017-)
Mor Atlas with A. Gavious (2017-)
Orli Wasier with Y. Kalman (2019-)
Tomer Sagie with D. Silberklang (2022-)
M.Sc. Students
Alon Bartal 2008-2009
Amit Polak 2011-2012
Nir Regev 2012-2015
David Codish 2013-2014
Mor Atlas 2013-2015
Liron Rosenfeld 2013-2015
Herman Kantushov 2018-2020
Rotem Margalit 2019-2020
Roni Nakash 2020-
Alon Wolf 2021-
Or Ben-Simon 2021-
Irit Neumann 2021 -
Eviatar Rosenberg 2021-
Hadar Verthaim 2021-
Shaked Abrahami 2022-
Tal Barda 2022-
Tamir Bar-Tov 2022-
Amit Malka 2022-
Stav Dratwa 2023-
Maya Breslauer 2023-
Peleg Eliyahou 2023-
Daniel Navry 2023-
Shahar Lavian 2023-
My Contact