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ORCIDWilliam Rand
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- affiliation: North Carolina State University, Poole College of Management, Raleigh, NC, USA
- affiliation (former): University of Maryland, College Park, USA
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Books and Theses
- 2005
[b1]William Rand:
Controlled observations of the genetic algorithm in a changing environment: Case studies using the shaky ladder hyperplane -defined functions. University of Michigan, USA, 2005
Journal Articles
- 2023
- [j18]Chathura Jayalath
, Chathika Gunaratna, William Rand, Chathurani Seneviratne, Ivan Garibay:
A Generalization of Threshold-based and Probability-based Models of Information diffusion. Adv. Complex Syst. 26(2): 2350005:1-2350005:25 (2023) - [j17]Anthony Weishampel, Ana-Maria Staicu, William Rand:
Classification of social media users with generalized functional data analysis. Comput. Stat. Data Anal. 179: 107647 (2023) - [j16]Joshua M. Epstein, Ivan Garibay, Erez Hatna, Matthew Koehler, William Rand:
Special Section on "Inverse Generative Social Science": Guest Editors' Statement. J. Artif. Soc. Soc. Simul. 26(2) (2023) - [j15]Elena Romero, Manuel Chica, Sergio Damas, William Rand:
Two decades of agent-based modeling in marketing: a bibliometric analysis. Prog. Artif. Intell. 12(3): 213-229 (2023) - 2021
- [j14]William Rand, Christian Stummer:
Agent-based modeling of new product market diffusion: an overview of strengths and criticisms. Ann. Oper. Res. 305(1): 425-447 (2021) - [j13]Chathurani Senevirathna, Chathika Gunaratne, William Rand, Chathura Jayalath, Ivan Garibay:
Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media. Entropy 23(2): 160 (2021) - 2020
- [j12]Chathika Gunaratne, Nisha Baral, William Rand, Ivan Garibay, Chathura Jayalath, Chathurani Senevirathna:
The effects of information overload on online conversation dynamics. Comput. Math. Organ. Theory 26(2): 255-276 (2020) - [j11]Anandasivam Gopal, Sabari Rajan Karmegam, Balaji R. Koka, William Rand:
Is the Grass Greener? On the Strategic Implications of Moving Along the Value Chain for IT Service Providers. Inf. Syst. Res. 31(1): 148-175 (2020) - 2018
- [j10]Edward Bishop Smith, William Rand:
Simulating Macro-Level Effects from Micro-Level Observations. Manag. Sci. 64(11): 5405-5421 (2018) - 2015
- [j9]William Rand, Jeffrey Herrmann, Brandon Schein, Neza Vodopivec:
An Agent-Based Model of Urgent Diffusion in Social Media. J. Artif. Soc. Soc. Simul. 18(2) (2015) - 2013
- [j8]Chrysanthos Dellarocas, Zsolt Katona, William Rand:
Media, Aggregators, and the Link Economy: Strategic Hyperlink Formation in Content Networks. Manag. Sci. 59(10): 2360-2379 (2013) - 2010
- [j7]Abir Alharbi, William Rand:
The shaky Ladder Hyperplane-Defined Functions and Classic Dynamic Problems. Int. J. Comput. Intell. Appl. 9(1): 33-48 (2010) - 2009
- [j6]Daniel Kornhauser, Uri Wilensky, William Rand:
Design Guidelines for Agent Based Model Visualization. J. Artif. Soc. Soc. Simul. 12(2) (2009) - 2008
- [j5]Jun Wang, Gregory L. Dam, Sule Yildirim, William Rand, Uri Wilensky, James C. Houk:
Reciprocity between the cerebellum and the cerebral cortex: Nonlinear dynamics in microscopic modules for generating voluntary motor commands. Complex. 14(2): 29-45 (2008) - 2007
- [j4]Uri Wilensky, William Rand:
Making Models Match: Replicating an Agent-Based Model. J. Artif. Soc. Soc. Simul. 10(4) (2007) - 2005
- [j3]Daniel G. Brown, Scott E. Page, Rick L. Riolo, Moira L. Zellner, William Rand:
Path dependence and the validation of agent-based spatial models of land use. Int. J. Geogr. Inf. Sci. 19(2): 153-174 (2005) - [j2]Daniel G. Brown, Rick L. Riolo, Derek T. Robinson, Michael J. North, William Rand:
Spatial process and data models: Toward integration of agent-based models and GIS. J. Geogr. Syst. 7(1): 25-47 (2005) - 2004
- [j1]Daniel G. Brown, Scott E. Page, Rick L. Riolo, William Rand:
Agent-based and analytical modeling to evaluate the effectiveness of greenbelts. Environ. Model. Softw. 19(12): 1097-1109 (2004)
Conference and Workshop Papers
- 2024
- [c40]Xiaoxia Champon, Chathura Jayalath, William Rand, Jasser Jasser, Ivan Garibay:
Comparing Social Media Communities using Functional Data Analysis. HICSS 2024: 4162-4171 - 2022
- [c39]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:
Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. CIC 2022: 38-44 - [c38]Rohan Mestri, Pragna Bollam, Gijs Overgoor, William Rand:
Text vs. Image: An application of unsupervised multi-modal machine learning to online reviews. HICSS 2022: 1-10 - [c37]Chathika Gunaratne, Debraj De, Gautam S. Thakur, Chathurani Senevirathna, William Rand, Martin Smyth, Monica Lipscomb:
Evolution of Intent and Social Influence Networks and Their Significance in Detecting COVID-19 Disinformation Actors on Social Media. SBP-BRiMS 2022: 24-34 - 2021
- [c36]Emil Mirzayev, Zakaria Babutsitdze, William Rand, Thierry Delahaye:
Use of clustering for consideration set modeling in recommender systems. HICSS 2021: 1-9 - [c35]Gijs Overgoor, Rohan Mestri, William Rand:
In the Eye of the Reviewer: An Application of Unsupervised Clustering to User Generated Imagery in Online Reviews. HICSS 2021: 1-10 - 2020
- [c34]Gijs Overgoor, William Rand, Willemijn van Dolen:
The Champion of Images: Understanding the role of images in the decision-making process of online hotel bookings. HICSS 2020: 1-10 - [c33]Rachel Winter, Steven R. Scheinert, Mel Stanfill, Anastasia Salter, Olivia B. Newton, Jihye Song, Stephen M. Fiore, William Rand, Ivan Garibay:
A Taxonomy of User Actions on Social Networking Sites. HT 2020: 233-234 - 2016
- [c32]Aaron Halfaker, Jonathan T. Morgan, Yuvaraj Pandian, Elizabeth Thiry, William Rand, Kristen Schuster, Anthony J. Million, Sean P. Goggins, David Laniado:
Breaking into new Data-Spaces: Infrastructure for Open Community Science. CSCW Companion 2016: 485-490 - [c31]Ming-Hui Huang, William Rand, Roland T. Rust:
Don't Do It Right, Do It Fast? Speed and Quality of Innovation as an Emergent Process. ICIS 2016 - [c30]Georg J. P. Link, Matt Germonprez, Sean P. Goggins, Jeff Hemsley, Bill Rand, Megan Squire:
The Open Community Data Exchange: Advancing Data Sharing and Discovery in Open Online Community Science. OpenSym (Companion) 2016: 7:1-7:4 - 2015
- [c29]Jimpei Harada, David Darmon, Michelle Girvan, William Rand:
Forecasting High Tide: Predicting Times of Elevated Activity in Online Social Media. ASONAM 2015: 504-507 - 2013
- [c28]Victoria Lai, William Rand:
Does Love Change on Twitter? The Dynamics of Topical Conversations in Microblogging. SocialCom 2013: 81-86 - [c27]David Darmon, Jared Sylvester, Michelle Girvan, William Rand:
Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling. SocialCom 2013: 102-107 - [c26]Radu Machedon, William Rand, Yogesh V. Joshi:
Automatic Crowdsourcing-Based Classification of Marketing Messaging on Twitter. SocialCom 2013: 975-978 - [c25]Wei Guo, William Rand, Wolfgang Jank:
Switching behavior in online auctions: Empirical observations and predictive implications. WSC 2013: 1395-1406 - 2012
- [c24]Shanchan Wu, Leanna Gong, William Rand, Louiqa Raschid:
Making recommendations in a microblog to improve the impact of a focal user. RecSys 2012: 265-268 - [c23]Forrest Stonedahl, William Rand:
When Does Simulated Data Match Real Data? WCSS 2012: 297-313 - 2011
- [c22]Shanchan Wu, Tamer Elsayed, William Rand, Louiqa Raschid:
Predicting Author Blog Channels with High Value Future Posts for Monitoring. AAAI 2011: 1261-1266 - [c21]Forrest Stonedahl, David Anderson, William Rand:
When does simulated data match real data? GECCO (Companion) 2011: 231-232 - [c20]Wei Guo, Wolfgang Jank, William Rand:
Estimating functional agent-based models: an application to bid shading in online markets format. GECCO (Companion) 2011: 559-566 - [c19]Hossam Sharara, William Rand, Lise Getoor:
Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing. ICWSM 2011 - [c18]Shanchan Wu, Louiqa Raschid, William Rand:
Future Link Prediction in the Blogosphere for Recommendation. ICWSM 2011 - [c17]Shanchan Wu, William Rand, Louiqa Raschid:
Recommendations in social media for brand monitoring. RecSys 2011: 345-348 - [c16]Victoria Lai, Christopher Rajashekar, William Rand:
Comparing Social Tags to Microblogs. SocialCom/PASSAT 2011: 1380-1383 - 2010
- [c15]Forrest Stonedahl, William Rand, Uri Wilensky:
Evolving viral marketing strategies. GECCO 2010: 1195-1202 - 2009
- [c14]Matthew Berland, William Rand:
Participatory Simulation as a Tool for Agent-based Simulation. ICAART 2009: 553-557 - 2008
- [c13]William Rand, Paulo Blikstein, Uri Wilensky:
GoGoBot: group collaboration, multi-agent modeling, and robots. AAMAS (Demos) 2008: 1715-1716 - [c12]Forrest Stonedahl, William Rand, Uri Wilensky:
CrossNet: a framework for crossover with network-based chromosomal representations. GECCO 2008: 1057-1064 - 2007
- [c11]Paulo Blikstein, William Rand, Uri Wilensky:
Just a cog in the machine: participatory robotics as a tool for understanding collaborative learning and decision-making. CSCL 2007: 84-86 - [c10]Abir Alharbi, William Rand, Rick L. Riolo:
Understanding the Semantics of the Genetic Algorithm in Dynamic Environments. EvoWorkshops 2007: 657-667 - [c9]Jules Ottino-Loffler, William Rand, Uri Wilensky:
A spatial model of the red queen effect. GECCO 2007: 490-491 - [c8]Abir Alharbi, William Rand, Rick L. Riolo:
The defined cliffs variant in dynamic environments: a case study using the shaky ladder hyperplane-defined functions. GECCO 2007: 1158-1164 - [c7]Forrest Sondahl, William Rand:
Evolution of non-uniform cellular automata using a genetic algorithm: diversity and computation. GECCO 2007: 1531 - 2006
- [c6]Paulo Blikstein, William Rand, Uri Wilensky:
Participatory, embodied, multi-agent simulation. AAMAS 2006: 1457-1458 - [c5]William Rand, Rick L. Riolo:
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 2006: 776-787 - [c4]William Rand, Rick L. Riolo, John H. Holland:
The effect of crossover on the behavior of the GA in dynamic environments: a case study using the shaky ladder hyperplane-defined functions. GECCO 2006: 1289-1296 - 2005
- [c3]William Rand, Rick L. Riolo:
Shaky Ladders, Hyperplane-Defined Functions and Genetic Algorithms: Systematic Controlled Observation in Dynamic Environments. EvoWorkshops 2005: 600-609 - [c2]William Rand, Rick L. Riolo:
Measurements for understanding the behavior of the genetic algorithm in dynamic environments: a case study using the Shaky Ladder Hyperplane-Defined Functions. GECCO Workshops 2005: 32-38 - [c1]William Rand, Rick L. Riolo:
The problem with a self-adaptative mutation rate in some environments: a case study using the shaky ladder hyperplane-defined functions. GECCO 2005: 1493-1500
Informal and Other Publications
- 2020
- [i6]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:
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. CoRR abs/2003.11611 (2020) - 2019
- [i5]David Darmon, William Rand, Michelle Girvan:
Computational landscape of user behavior on social media. CoRR abs/1901.08941 (2019) - [i4]Chathika Gunaratne, Nisha Baral, William Rand, Ivan Garibay, Chathura Jayalath, Chathurani Senevirathna:
A Theory of Extended Working Memory and its Role in Online Conversation Dynamics. CoRR abs/1910.09686 (2019) - 2016
- [i3]Keith Burghardt, Emanuel F. Alsina, Michelle Girvan, William Rand, Kristina Lerman:
The Myopia of Crowds: A Study of Collective Evaluation on Stack Exchange. CoRR abs/1602.07388 (2016) - 2014
- [i2]Keith Burghardt, William Rand, Michelle Girvan:
Competing Opinions and Stubborness: Connecting Models to Data. CoRR abs/1411.7415 (2014) - 2013
- [i1]David Darmon, Jared Sylvester, Michelle Girvan, William Rand:
Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling. CoRR abs/1306.6111 (2013)
Coauthor Index
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