DYNAMOD—An Agent Based Modeling Framework: Applications to Online Social Networks

This paper presents an Agent Based Modeling Framework that seeks to provide a generic model that can be used to simulate any internet based business. The model captures the unique characteristics that define how online users interact, share information, and take product adoption decisions. This model can be used to simulate business performance, make business forecasts, and test business strategies. To demonstrate the applicability of the model, we choose two social networks with opposing scales: Facebook and a startup educational social network—weduc.pt.

[1]  Jacob Goldenberg,et al.  Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth , 2001 .

[2]  Kornelia van der Beek,et al.  The changing digital content landscape: An evaluation of e-business model development in European online news and music , 2006, Internet Res..

[3]  Sandy E. Green,et al.  Rhetoric, Risk, and Markets: The Dot-Com Bubble , 2010 .

[4]  J. West,et al.  Reconceptualizing and expanding the positive feedback network effects model: A case study , 2009 .

[5]  J. Goldenberg,et al.  The chilling effects of network externalities , 2010 .

[6]  William Rand,et al.  Evolving viral marketing strategies , 2010, GECCO '10.

[7]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[8]  Kirthi Kalyanam,et al.  Adaptive experimentation in interactive marketing: The case of viral marketing at Plaxo , 2007 .

[9]  Michael Y. Hu,et al.  An agent-based diffusion model with consumer and brand agents , 2010, Decis. Support Syst..

[10]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[11]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[12]  N. Lee,et al.  Word of mouth communication within online communities: Conceptualizing the online social network , 2007 .

[13]  Kirthi Kalyanam,et al.  Strategic Online and Offline Retail Pricing: A Review and Research Agenda , 2010 .

[14]  D. Teece.  Business Models, Business Strategy and Innovation , 2010 .

[15]  F. Bass.  A new product growth model for consumer durables , 1976 .

[16]  P. Herr,et al.  Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective , 1991 .

[17]  J. Goldenberg,et al.  The NPV of bad news , 2007 .

[18]  Tammo H. A. Bijmolt,et al.  Targeting and timing promotional activities : An agent-based model for the takeoff of new products , 2007 .

[19]  Alan L. Montgomery,et al.  Special Issue: OR/MS and E-Business: Applying Quantitative Marketing Techniques to the Internet , 2001, Interfaces.

[20]  Purushottam Papatla,et al.  Advertising: Stimulant or Suppressant of Online Word of Mouth? , 2011 .

[21]  William Rand,et al.  Multi-Agent Learning with a Distributed Genetic Algorithm , 2008 .

[22]  T. S. Robertson,et al.  A Propositional Inventory for New Diffusion Research , 1985 .

[23]  C. Anderson,et al.  Free: The Future of a Radical Price , 2009 .

[24]  G. Lilien,et al.  A multi-stage model of word-of-mouth influence through viral marketing , 2008 .

[25]  Rob Docters,et al.  Pricing in the digital world , 2011 .

[26]  Kejun Zhu,et al.  Agent-based Simulation of Durables Dynamic Pricing , 2011 .

[27]  Rita Gunther McGrath.  Business Models: A Discovery Driven Approach , 2010 .