Elbirt Technologies - Software & Consulting Services
Competing Idea Diffusion Agent Based Model Application
CID-ABM
 
[CID-ABM Screen Shot]   Abstract
 
This software allows a researcher to investigate the propagation of competing [information] ideas through a [social] network with controls for who starts with the idea [seeds], leadership, adoption time (Solomon, 2000), and dynamic idea adoption [floating decisions]. JUNG (Java Universal Network/Graph Framework) (O'Madadhain, 2005) is used for graphical output during simulation. Data outputs include time stamped calculations, adoptions and saturation percentages.
 
Documentation and Publications
CID-ABM 1.0 Documentation - pdf
 
Software Downloads
CID-ABM 1.0 - Windows 32/64 bit - September, 2009 - zip
 
Bibliography
Ahn, Y.-Y., S. Han, et al. (2007). Analysis of topological characteristics of huge online social networking services. International World Wide Web Conference, Banff, Alberta, Canada

Barabási, A. L., H. Jeong, et al. (2002). "Evolution of the Social Network of Scientific Collaborations." Physica A 311(3-4): 590-614

Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook "friends:" Social capital and college students' use of online social network sites. Journal of Computer-Mediated Communication, 12(4), article 1

Fowler, J. H. (2006). "Connecting the Congress: A Study of Cosponsorshp Networks." Political Analysis 14(4): 456-487.

Fowler, J. H. (2006). "Legislative Cosponsorship Networks int he U.S. House and Senate." Social Networks 28(4): 454-465

Khan, A. (2009). JExcelApi

Kretschmer, H. (2004). "Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web." Scientometrics 60(3): 409-420

Milgram, Stanley (1967). "The Small World Problem". Psychology Today 1 (1): 60-67

Newman, M. E. J. (2004). "Coauthorship Networks and Patterns of Scientific Collaboration." PNAS 101(1): 5200-5205

J. O'Madadhain, D. Fisher, P. Smyth, S. White, Y. B. Boey (2005). "Analysis and visualization of network data using JUNG". Journal of Statistical Software: 125. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.101.3015&rep=rep1&type=pdf.

Solomon, S., G. Weisbuch, et al. (2000). "Social Percolation models." Physica A 277: 239-247

Subramani, M. R. and B. Rajagopalan (2003). "Knowledge-sharing and influence in online social networks via viral marketing." Communications of the ACM 46(12): 300-307

Watts, Duncan J.; Strogatz, Steven H. (June, 1998). "Collective dynamics of 'small-world' networks". Nature 393: 440-442

-----
Copyright Elbirt Technologies 2009 to Present

About ET - Consulting - Publications - Software - Contact