William Rand - RankMe

65 papers A* 1A 12B 2C 1Misc 1Journal 24Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Combating Dark-side of Computing - Exploring Perceptions of AI-augmented Mis/disinformation among Higher Education Students. ICER (2) Florence Martin, Jennifer DeLarm, Min Zhuang, Yang Cheng, William Rand, Jaekuk Lee
2024	—	`conf`	Comparing Social Media Communities using Functional Data Analysis. HICSS Xiaoxia Champon, Chathura Jayalath, William Rand, Jasser Jasser, Ivan Garibay
2023	J	`jnl`	A Generalization of Threshold-based and Probability-based Models of Information diffusion. Adv. Complex Syst. Chathura Jayalath, Chathika Gunaratna, William Rand, Chathurani Senevirathna, Ivan Garibay
2023	J	`jnl`	Classification of social media users with generalized functional data analysis. Comput. Stat. Data Anal. Anthony Weishampel, Ana-Maria Staicu, William Rand
2023	J	`jnl`	Special Section on "Inverse Generative Social Science": Guest Editors' Statement. J. Artif. Soc. Soc. Simul. Joshua M. Epstein, Ivan Garibay, Erez Hatna, Matthew Koehler, William Rand
2023	J	`jnl`	Two decades of agent-based modeling in marketing: a bibliometric analysis. Prog. Artif. Intell. Elena Romero, Manuel Chica, Sergio Damas, William Rand
2022	—	`conf`	Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. CIC Özlem Özmen Garibay, Niloofar Yousefi, Kevin Aslett, Jacopo A. Baggio, Erik Hemberg, Chathura Jayalath, Alexander V. Mantzaris, Bruce Miller, Una-May O'Reilly, William Rand, Chathurani Senevirathna, Ivan Garibay
2022	—	`conf`	Evolution of Intent and Social Influence Networks and Their Significance in Detecting COVID-19 Disinformation Actors on Social Media. SBP-BRiMS Chathika Gunaratne, Debraj De, Gautam S. Thakur, Chathurani Senevirathna, William Rand, Martin Smyth, Monica Lipscomb
2022	—	`conf`	Text vs. Image: An application of unsupervised multi-modal machine learning to online reviews. HICSS Rohan Mestri, Pragna Bollam, Gijs Overgoor, William Rand
2021	J	`jnl`	Agent-based modeling of new product market diffusion: an overview of strengths and criticisms. Ann. Oper. Res. William Rand, Christian Stummer
2021	—	`conf`	In the Eye of the Reviewer: An Application of Unsupervised Clustering to User Generated Imagery in Online Reviews. HICSS Gijs Overgoor, Rohan Mestri, William Rand
2021	J	`jnl`	Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media. Entropy Chathurani Senevirathna, Chathika Gunaratne, William Rand, Chathura Jayalath, Ivan Garibay
2021	—	`conf`	Use of clustering for consideration set modeling in recommender systems. HICSS Emil Mirzayev, Zakaria Babutsitdze, William Rand, Thierry Delahaye
2020	—	`conf`	A Taxonomy of User Actions on Social Networking Sites. HT Rachel Winter, Steven R. Scheinert, Mel Stanfill, Anastasia Salter, Olivia B. Newton, Jihye Song, Stephen M. Fiore, William Rand, Ivan Garibay
2020	J	`jnl`	Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. CoRR Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi, Ece C. Mutlu, Madeline Schiappa, Steven R. Scheinert, Georgios C. Anagnostopoulos, Christina Bouwens, Stephen M. Fiore, Alexander V. Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Gabriel Fair, Chathika Gunaratne, Neda Hajiakhoond Bidoki, Jasser Jasser, Chathura Jayalath, Olivia B. Newton, Samaneh Saadat, Chathurani Senevirathna, Rachel Winter, Xi Zhang
2020	J	`jnl`	Is the Grass Greener? On the Strategic Implications of Moving Along the Value Chain for IT Service Providers. Inf. Syst. Res. Anandasivam Gopal, Sabari Rajan Karmegam, Balaji R. Koka, William Rand
2020	—	`conf`	The Champion of Images: Understanding the role of images in the decision-making process of online hotel bookings. HICSS Gijs Overgoor, William Rand, Willemijn van Dolen
2020	J	`jnl`	The effects of information overload on online conversation dynamics. Comput. Math. Organ. Theory Chathika Gunaratne, Nisha Baral, William Rand, Ivan Garibay, Chathura Jayalath, Chathurani Senevirathna
2019	J	`jnl`	A Theory of Extended Working Memory and its Role in Online Conversation Dynamics. CoRR Chathika Gunaratne, Nisha Baral, William Rand, Ivan Garibay, Chathura Jayalath, Chathurani Senevirathna
2019	J	`jnl`	Computational landscape of user behavior on social media. CoRR David Darmon, William Rand, Michelle Girvan
2018	J	`jnl`	Simulating Macro-Level Effects from Micro-Level Observations. Manag. Sci. Edward Bishop Smith, William Rand
2016	—	`conf`	Breaking into new Data-Spaces: Infrastructure for Open Community Science. CSCW Companion Aaron Halfaker, Jonathan T. Morgan, Yuvaraj Pandian, Elizabeth Thiry, William Rand, Kristen Schuster, Anthony J. Million, Sean P. Goggins, David Laniado
2016	C	`conf`	Don't Do It Right, Do It Fast? Speed and Quality of Innovation as an Emergent Process. ICIS Ming-Hui Huang, William Rand, Roland T. Rust
2016	J	`jnl`	The Myopia of Crowds: A Study of Collective Evaluation on Stack Exchange. CoRR Keith Burghardt, Emanuel F. Alsina, Michelle Girvan, William Rand, Kristina Lerman
2015	J	`jnl`	An Agent-Based Model of Urgent Diffusion in Social Media. J. Artif. Soc. Soc. Simul. William Rand, Jeffrey Herrmann, Brandon Schein, Neza Vodopivec
2015	B	`conf`	Forecasting High Tide: Predicting Times of Elevated Activity in Online Social Media. ASONAM Jimpei Harada, David Darmon, Michelle Girvan, William Rand
2014	J	`jnl`	Competing Opinions and Stubborness: Connecting Models to Data. CoRR Keith Burghardt, William Rand, Michelle Girvan
2013	—	`conf`	Automatic Crowdsourcing-Based Classification of Marketing Messaging on Twitter. SocialCom Radu Machedon, William Rand, Yogesh V. Joshi
2013	—	`conf`	Does Love Change on Twitter? The Dynamics of Topical Conversations in Microblogging. SocialCom Victoria Lai, William Rand
2013	J	`jnl`	Media, Aggregators, and the Link Economy: Strategic Hyperlink Formation in Content Networks. Manag. Sci. Chrysanthos Dellarocas, Zsolt Katona, William Rand
2013	—	`conf`	Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling. SocialCom David Darmon, Jared Sylvester, Michelle Girvan, William Rand
2013	J	`jnl`	Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling. CoRR David Darmon, Jared Sylvester, Michelle Girvan, William Rand
2013	Misc	`conf`	Switching behavior in online auctions: Empirical observations and predictive implications. WSC Wei Guo, William Rand, Wolfgang Jank
2012	A	`conf`	Making recommendations in a microblog to improve the impact of a focal user. RecSys Shanchan Wu, Leanna Gong, William Rand, Louiqa Raschid
2012	—	`conf`	When Does Simulated Data Match Real Data? WCSS Forrest Stonedahl, William Rand
2011	—	`conf`	Comparing Social Tags to Microblogs. SocialCom/PASSAT Victoria Lai, Christopher Rajashekar, William Rand
2011	A	`conf`	Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing. ICWSM Hossam Sharara, William Rand, Lise Getoor
2011	—	`conf`	Estimating functional agent-based models: an application to bid shading in online markets format. GECCO (Companion) Wei Guo, Wolfgang Jank, William Rand
2011	A	`conf`	Future Link Prediction in the Blogosphere for Recommendation. ICWSM Shanchan Wu, Louiqa Raschid, William Rand
2011	A*	`conf`	Predicting Author Blog Channels with High Value Future Posts for Monitoring. AAAI Shanchan Wu, Tamer Elsayed, William Rand, Louiqa Raschid
2011	A	`conf`	Recommendations in social media for brand monitoring. RecSys Shanchan Wu, William Rand, Louiqa Raschid
2011	—	`conf`	When does simulated data match real data? GECCO (Companion) Forrest Stonedahl, David Anderson, William Rand
2010	A	`conf`	Evolving viral marketing strategies. GECCO Forrest Stonedahl, William Rand, Uri Wilensky
2010	J	`jnl`	The shaky Ladder Hyperplane-Defined Functions and Classic Dynamic Problems. Int. J. Comput. Intell. Appl. Abir Alharbi, William Rand
2009	J	`jnl`	Design Guidelines for Agent Based Model Visualization. J. Artif. Soc. Soc. Simul. Daniel Kornhauser, Uri Wilensky, William Rand
2009	B	`conf`	Participatory Simulation as a Tool for Agent-based Simulation. ICAART Matthew Berland, William Rand
2008	A	`conf`	CrossNet: a framework for crossover with network-based chromosomal representations. GECCO Forrest Stonedahl, William Rand, Uri Wilensky
2008	—	`conf`	GoGoBot: group collaboration, multi-agent modeling, and robots. AAMAS (Demos) William Rand, Paulo Blikstein, Uri Wilensky
2008	J	`jnl`	Reciprocity between the cerebellum and the cerebral cortex: Nonlinear dynamics in microscopic modules for generating voluntary motor commands. Complex. Jun Wang, Gregory L. Dam, Sule Yildirim, William Rand, Uri Wilensky, James C. Houk
2007	A	`conf`	A spatial model of the red queen effect. GECCO Jules Ottino-Loffler, William Rand, Uri Wilensky
2007	A	`conf`	Evolution of non-uniform cellular automata using a genetic algorithm: diversity and computation. GECCO Forrest Sondahl, William Rand
2007	—	`conf`	Just a cog in the machine: participatory robotics as a tool for understanding collaborative learning and decision-making. CSCL Paulo Blikstein, William Rand, Uri Wilensky
2007	J	`jnl`	Making Models Match: Replicating an Agent-Based Model. J. Artif. Soc. Soc. Simul. Uri Wilensky, William Rand
2007	A	`conf`	The defined cliffs variant in dynamic environments: a case study using the shaky ladder hyperplane-defined functions. GECCO Abir Alharbi, William Rand, Rick L. Riolo
2007	—	`conf`	Understanding the Semantics of the Genetic Algorithm in Dynamic Environments. EvoWorkshops Abir Alharbi, William Rand, Rick L. Riolo
2006	A	`conf`	Participatory, embodied, multi-agent simulation. AAMAS Paulo Blikstein, William Rand, Uri Wilensky
2006	—	`conf`	The Effect of Building Block Construction on the Behavior of the GA in Dynamic Environments: A Case Study Using the Shaky Ladder Hyperplane-Defined Functions. EvoWorkshops William Rand, Rick L. Riolo
2006	A	`conf`	The effect of crossover on the behavior of the GA in dynamic environments: a case study using the shaky ladder hyperplane-defined functions. GECCO William Rand, Rick L. Riolo, John H. Holland
2005	—	`—`	Controlled observations of the genetic algorithm in a changing environment: Case studies using the shaky ladder hyperplane -defined functions. William Rand
2005	—	`conf`	Measurements for understanding the behavior of the genetic algorithm in dynamic environments: a case study using the Shaky Ladder Hyperplane-Defined Functions. GECCO Workshops William Rand, Rick L. Riolo
2005	J	`jnl`	Path dependence and the validation of agent-based spatial models of land use. Int. J. Geogr. Inf. Sci. Daniel G. Brown, Scott E. Page, Rick L. Riolo, Moira L. Zellner, William Rand
2005	—	`conf`	Shaky Ladders, Hyperplane-Defined Functions and Genetic Algorithms: Systematic Controlled Observation in Dynamic Environments. EvoWorkshops William Rand, Rick L. Riolo
2005	J	`jnl`	Spatial process and data models: Toward integration of agent-based models and GIS. J. Geogr. Syst. Daniel G. Brown, Rick L. Riolo, Derek T. Robinson, Michael J. North, William Rand
2005	A	`conf`	The problem with a self-adaptative mutation rate in some environments: a case study using the shaky ladder hyperplane-defined functions. GECCO William Rand, Rick L. Riolo
2004	J	`jnl`	Agent-based and analytical modeling to evaluate the effectiveness of greenbelts. Environ. Model. Softw. Daniel G. Brown, Scott E. Page, Rick L. Riolo, William Rand