From social networking to neural pathways to the increasingly networked structure of the economy, complex networks are an integral part of our lives. NECSI research on the structure and dynamics of networks expands our understanding of how biological, social, and technological networks behave.

 

Network Modeling

NECSI researchers developed general models describing how networked systems respond to disturbances.

Yaneer Bar-Yam, The limits of phenomenology, Complexity 21(S1): 181-189 (2015)

David D. Chinellato, Irving R. Epstein, Dan Braha, Yaneer Bar-Yam, and Marcus A.M. de Aguiar, Dynamical response of networks under external perturbations: Exact results, Journal of Statistical Physics 159: 221–230 (2015).

Marcus A. M. de Aguiar, Irving Epstein, and Yaneer Bar-Yam, Analytically solvable model of probabilistic network dynamicsPhysical Review E 72: 067102 (2005).

Marcus A.M. de Aguiar and Yaneer Bar-Yam, Spectral analysis and the dynamic response of complex networks, Physical Review E 71: 016106 (2005).

Yaneer Bar-Yam and Irving R. Epstein, Response of complex networks to stimuli, PNAS 101(13): 4341-4345 (2004).

Benjamin Shargel, Hiroki Sayama, Irving R. Epstein, and Yaneer Bar-Yam, Optimization of robustness and connectivity in complex networks, Physical Review Letters 90(6): 068701 (2003).

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Biological

By describing the way regulatory networks behave we can describe the functioning of cells.

Benjamin de Bivort, Sui Huang, and Y. Bar-Yam, Dynamics of cellular level function and regulation derived from murine expression array dataPNAS 101(51): 17687-17692 (2004).


Neural

Understanding neural networks enables us to understand how thoughts happen, and how and why people do many things including why they need to sleep.

Yaneer Bar-Yam, Dynamics of Complex Systems, Chapter 2 (CRC Press, 1997).

Reza Sadr-Lahijany and Yaneer Bar-Yam, Substructure in complex systems and partially subdivided neural networks I: Stability of composite patterns, InterJournal (2002).

Yaneer Bar-Yam, Sleep as temporary brain dissociation, CSDL Research Report YB-0005-10.10.92 (1993).

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Economic

The complex systems models developed by NECSI are also applied to corporate competition and economic markets.

Dan Braha, Blake Stacey, and Yaneer Bar-Yam, Corporate competition: A self-organized network, Social Networks 33(3): 219-230 (July 2011).

Dion Harmon, Blake Stacey, Yavni Bar-Yam, and Yaneer Bar-Yam, Networks of economic market interdependence and systemic risk, arXiv:1011.3707v2 (November 16, 2010).

Dan Braha, Blake Stacey, and Yaneer Bar-Yam, Corporate competition: A self-organizing network, NECSI Technical Report 10-3-01 (2001).


Social

NECSI studies the dynamics of social networks and their roles in societal movements.

Pedro J. Zufiria, David Pastor-Escuredo, Luis Úbeda-Medina, Miguel A. Hernandez-Medina, Iker Barriales-Valbuena, Alfredo J. Morales, Damien C. Jacques, Wilfred Nkwambi, M. Bamba Diop, John Quinn, Paula Hidalgo-Sanchís, and Miguel Luengo-Oroz, Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food securityPLoS ONE 13(4): e0195714 (April 26, 2018).

Vincent Wong and Yaneer Bar-Yam, How do people differ? A social media approach, arXiv:1708.02900 (August 9, 2017).

Alfredo J. Morales, Vaibhav Vavilala, Rosa M. Benito, and Yaneer Bar-Yam, Global patterns of synchronization in human communicationsJournal of the Royal Society Interface (March 1, 2017).

Daniel Cooney, Francisco Prieto-Castrillo, and Yaneer Bar-Yam, Analysis of infectious-recovery epidemic models for membership dynamics of online social networks, arXiv:1608.07870 (August 29, 2016).

Scott A. Hill and Dan Braha, Dynamic model of time-dependent complex networks, Physical Review E 82(4): 046105 (2010).

Dan Braha and Yaneer Bar-Yam, From centrality to temporary fame: Dynamic centrality in complex networks, Complexity 12: 59-36 (2006).

Amaç Herdağdelen, Wenyun Zuo, Alexander S. Gard-Murray, and Yaneer Bar-Yam, An exploration of social identity: The geography and politics of news-sharing communities in Twitter, Complexity 19: 10-20 (2013).

Yaneer Bar-Yam, The transition from Search to Social Media: The future of information networks, NECSI Report 04-01-2011 (April 5, 2011).

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Technological

NECSI analysis describes how information flows in socio-technological networks and why they are organized the way they are.

May Lim, Dan Braha, Sanith Wijesinghe, Stephenson Tucker, and Yaneer Bar-Yam, Preferential detachment in broadcast signaling networks: connectivity and cost trade-offEurophysics Letters 79(5): 58005 (2007).

Dan Braha and Yaneer Bar-Yam, The statistical mechanics of complex product development: Empirical and analytical resultsManagement Science 53: 1127-1145 (2007).

Dan Braha and Yaneer Bar-Yam, Information flow structure in large-scale product development organizational networks, in Smart Business Networks, Peter Vervest, et al. Eds., Chapter 8 (Springer Verlag, 2004).

Dan Braha and Yaneer Bar-Yam, Topology of large-scale engineering problem-solving networks, Physical Review E 69: 016113 (2004).

Reuven Cohen, Daryush Jonathan Dawid, Mehran Kardar, and Yaneer Bar-Yam, Unusual percolation in simple small-world networks, Physical Review E 79(6) (2009).