The Living Thing / Notebooks :

Knowledge and opinion diffusion

Knowledge diffusion at scale; also opinion diffusion, which might be the same thing in this context.

I need to find a better taxonomical name for the intersection of graph measures, game theory, network topologies, contagion processes, swarm sensing, reputation systems, recommender systems, learning from gossip. Important in the practice of science, and the understanding of filter bubbles.

Refs

AHHV01
Aghion, P., Harris, C., Howitt, P., & Vickers, J. (2001) Competition, Imitation and Growth with Step-by-Step Innovation. The Review of Economic Studies, 68(3), 467–492. DOI.
Ahrw11
Ahrweiler, P. (2011) Modelling Theory Communities in Science. Journal of Artificial Societies and Social Simulation, 14(4), 8.
AMRL02
Atran, S., Medin, D., Ross, N., Lynch, E., Vapnarsky, V., Ek, E. U., … Baran, M. (2002) Folkecology, Cultural Epidemiology, and the Spirit of the Commons. CURRENT ANTHROPOLOGY, 43. DOI.
Bess16
Bessi, A. (2016) On the statistical properties of viral misinformation in online social media. arXiv:1609.09435 [physics, Stat].
CCGP12
Caldarelli, G., Cristelli, M., Gabrielli, A., Pietronero, L., Scala, A., & Tacchella, A. (2012) A Network Analysis of Countries’ Export Flows: Firm Grounds for the Building Blocks of the Economy. PLoS ONE, 7(10), e47278. DOI.
CeMa07
Centola, D., & Macy, M. W.(2007) Complex contagions and the weakness of long ties. American Journal of Sociology, 113(3), 702.
CSRB15
Ciampaglia, G. L., Shiralkar, P., Rocha, L. M., Bollen, J., Menczer, F., & Flammini, A. (2015) Computational fact checking from knowledge networks. arXiv:1501.03471 [physics].
Davi98
David, P. A.(1998) Communication Norms and the Collective Cognitive Performance of “Invisible Colleges”. In Creation and transfer of knowledge: institutions and incentives (pp. 115–163). Springer Berlin Heidelberg
DeHA05
Deffuant, G., Huet, S., & Amblard, F. (2005) An Individual-Based Model of Innovation Diffusion Mixing Social Value and Individual Benefit. American Journal of Sociology, 110(4), 1041–1069.
EsRo05
Estrada, E., & Rodriguez-Velazquez, J. A.(2005) Subgraph Centrality in Complex Networks. Physical Review E, 71(5). DOI.
Gold99
Goldman, A. I.(1999) Knowledge in a Social World. . Oxford University Press
GLBS14
Gomez-Rodriguez, M., Leskovec, J., Balduzzi, D., & Schölkopf, B. (2014) Uncovering the structure and temporal dynamics of information propagation. Network Science, 2(01), 26–65. DOI.
GoLS13a
Gomez-Rodriguez, M., Leskovec, J., & Schölkopf, B. (2013a) Modeling Information Propagation with Survival Theory. In Proceedings of the 30th International Conference on Machine Learning,. Atlanta, Georgia
GoLS13b
Gomez-Rodriguez, M., Leskovec, J., & Schölkopf, B. (2013b) Structure and Dynamics of Information Pathways in Online Media. In Proceedings of the Sixth ACM International Conference on Web Search and Data Mining (pp. 23–32). New York, NY, USA: ACM DOI.
Gran73
Granovetter, M. S.(1973) The Strength of Weak Ties. The American Journal of Sociology, 78(6), 1360–1380. DOI.
IrMo11
Iribarren, J. L., & Moro, E. (2011) Branching dynamics of viral information spreading. Physical Review E, 84(4), 046116. DOI.
KBNS08
Koenig, M., Battiston, S., Napoletano, M., & Schweitzer, F. (2008) The Efficiency and Evolution of R&D Networks (SSRN Scholarly Paper No. ID 1271877). . Rochester, NY: Social Science Research Network
Lesk12
Leskovec, J. (2012) Information Diffusion and External Influence in Networks. Eprint arXiv:1206.1331.
LCKF10
Leskovec, J., Chakrabarti, D., Kleinberg, J., Faloutsos, C., & Ghahramani, Z. (2010) Kronecker Graphs: An Approach to Modeling Networks. J. Mach. Learn. Res., 11, 985–1042.
LLDM08
Leskovec, J., Lang, K. J., Dasgupta, A., & Mahoney, M. W.(2008) Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters. Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters.
Loas99
Loasby, B. J.(1999) Knowledge, institutions, and evolution in economics. . Routledge
MKAN13
Moussaïd, M., Kämmer, J. E., Analytis, P. P., & Neth, H. (2013) Social Influence and the Collective Dynamics of Opinion Formation. PLoS ONE, 8(11), e78433. DOI.
MyLe14
Myers, S. A., & Leskovec, J. (2014) The bursty dynamics of the Twitter information network. (pp. 913–924). ACM Press DOI.
PiCh14
Pinto, J. C. L., & Chahed, T. (2014) Modeling Multi-topic Information Diffusion in Social Networks Using Latent Dirichlet Allocation and Hawkes Processes. In Proceedings of the 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems (pp. 339–346). Washington, DC, USA: IEEE Computer Society DOI.
RIKK15
Ruan, Z., Iniguez, G., Karsai, M., & Kertesz, J. (2015) Kinetics of Social Contagion. arXiv:1506.00251 [physics].
SaRU11
Saavedra, S., Reed-Tsochas, F., & Uzzi, B. (2011) Common Organizing Mechanisms in Ecological and Socio-economic Networks. In F. Reed-Tsochas & N. Johnson (Eds.), Complex Systems and Interdisciplinary Sciences (London.). World Scientific Publishing
Simo86
Simon, H. A.(1986) Rationality and psychology and economics. In Rational Choice: the Contrast between Economcis and Psychology. Chicago: The University of Chicago Press
Simo91
Simon, H. A.(1991) Organizations and Markets. The Journal of Economic Perspectives, 5, 25–44. DOI.
SVCK13
Solé, R. V., Valverde, S., Casals, M. R., Kauffman, S. A., Farmer, D., & Eldredge, N. (2013) The evolutionary ecology of technological innovations. Complexity, 18(4), 15–27. DOI.
SMSG10
Sood, V., Mathieu, M., Shreim, A., Grassberger, P., & Paczuski, M. (2010) Interacting branching process as a simple model of innovation. Physical Review Letters, 105(17), 178701. DOI.
StGa11
Steeg, G. V., & Galstyan, A. (2011) Information Transfer in Social Media. arXiv:1110.2724.
Thag93
Thagard, P. (1993) Societies of Minds: Science as Distributed Computing. Studies in History and Philosophy of Modern Physics, 24, 49.
ThLC11
Thorngate, W., Liu, J., & Chowdhury, W. (2011) The Competition for Attention and the Evolution of Science. Journal of Artificial Societies and Social Simulation, 14(4), 17.
TNGS13
Tomasello, M. V., Napoletano, M., Garas, A., & Schweitzer, F. (2013) The Rise and Fall of R&D Networks. arXiv:1304.3623 [physics].
TPTK14
Tomasello, M. V., Perra, N., Tessone, C. J., Karsai, M., & Schweitzer, F. (2014) The role of endogenous and exogenous mechanisms in the formation of R&D networks. Scientific Reports, 4. DOI.
TLSS13
Tria, F., Loreto, V., Servedio, V. D. P., & Strogatz, S. H.(2013) The dynamics of correlated novelties. arXiv:1310.1953 [physics], 4. DOI.
VSBP07
Valverde, S., Solé, R. V., Bedau, M. A., & Packard, N. H.(2007) Topology and evolution of technology innovation networks. Phys. Rev. E, 76(5), 056118. DOI.
WFVM12
Weng, L., Flammini, A., Vespignani, A., Menczer, F., Weng, L., Flammini, A., … Menczer, F. (2012) Competition among memes in a world with limited attention. Scientific Reports, 2. DOI.
Youn05
Young, H. P.(2005) The Spread of Innovations through Social Learning.