Abstract
Research activities and collaborations in nanoscale science and engineering have major implications for advancing technological frontiers in many fields including medicine, electronics, energy, and communication. The National Nanotechnology Initiative (NNI) promotes efforts to cultivate effective research and collaborations among nano scientists and engineers to accelerate the advancement of nanotechnology and its commercialization. As of August 2008, there have been over 800 products considered to benefit from nanotechnology directly or indirectly. However, today’s accomplishments in nanotechnology cannot be transformed into commercial products without productive collaborations among experts from disparate research areas such as chemistry, physics, math, biology, engineering, manufacturing, environmental sciences, and social sciences. To study the patterns of collaboration, we build and analyze the collaboration network of scientists and engineers who conduct research in nanotechnology. We study the structure of information flow through citation network of papers authored by nano area scientists. We believe that the study of nano area co-author and paper citation networks improve our understanding of patterns and trends of the current research efforts in this field. We construct these networks based on the publication data collected for years ranging 1993 through 2008 from the scientific literature database “Web of Science”. We explore those networks to find out whether they follow power-law degree distributions and/or if they have a signature of hierarchy. We investigate the small-world characteristics and the existence of possible community structures in those networks. We estimate the statistical properties of the networks and interpret their significance with respect to the nano field.
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Abello, J., Pardalos, P. M., & Resende, M. G. C. (1999). On maximum clique problems in very large graphs. DIMACS Series, 50, 119–130.
Adamic, L. A., Lukose, R. M., Puniyani, A. R., & Huberman, B. A. (2001). Search in power-law networks. Physical Review E, 64, 046135.
Aiello, W., Chung, F., & Lu, L. (2000). A random graph model for massive graphs. In Proceedings of the thirty-second annual ACM symposium on theory of computing (pp. 171–180). Portland, OR.
Albert, R., Albert, I., & Nakarado, G. L. (2004). Structural vulnerability of the North American power grid. Physical Review E, 69, 025103.
Albert, R., & Barabasi, A. L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74, 47–97.
Albert, R., Jeong, H., & Barabasi, A. L. (1999). Diameter of the World Wide Web. Nature, 401, 130–131.
Albert, R., Jeong, H., & Barabasi, A. L. (2000). Attack and error tolerance of complex networks. Nature, 406, 378–382.
Amaral, L. A. N., Scala, A., Barthelemy, M., & Stanley, H. E. (2000). Classes of behavior of small-world networks. Proceedings of the National Academy of Sciences of the USA, 97(21), 11149–11152.
Barabasi, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509–512.
Barabasi, A. L., Jeong, H., Neda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A, 311, 590–614.
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D. U. (2006). Complex networks: Structure and dynamics. Physics Reports, 424, 175–308.
Borner, K., Maru, J. T., & Goldstone, R. L., (2003). Colloquium on mapping knowledge domains. Irvine, CA.
Broder, A., Kumar, R., Maghoul, F., Raghavan, P., Rajagopalan, S., Stata, R., et al. (2000). Graph structure in the web. In 9th International World Wide Web conference (WWW9) (Vol. 33, pp. 309–320). Amsterdam, Netherlands.
Cancho, R. F., Janssen, C., & Sole, R. V. (2001). Topology of technology graphs: Small world patterns in electronic circuits. Physical Review E, 64(4), 046119.
Clauset, A., Newman, M. E. J., & Moore, C. (2004). Finding community structure in very large networks. Physical Review E, 70, 066111.
Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-law distributions in empirical data. SIAM Review, 51(4), 661–703.
Contractor, N. S., Wasserman, S., & Faust, K. (2006). Testing multi-theoretical multilevel hypotheses about organizational networks: An analytic framework and empirical example. Academy of Management Review, 31(3), 681–703.
Dorogovtsev, S. N., & Mendes, J. F., F., (2003). Evolution of networks: From biological nets to the Internet and WWW. Oxford: Oxford University Press.
Faloutsos, M., Faloutsos, P., & Faloutsos, C. (1999). On power-law relationships of the internet topology. In R. Guerin (Ed.), ACM conference on applications, technologies, architectures, and protocols for computer communications (SIGCOMM 99) (pp. 251–262). Cambridge, MA.
Flake, G., Lawrence, S., & Giles, C. L. (2000). Efficient identification of web communities. In Sixth ACM SIGKDD international conference on knowledge discovery and data mining (pp. 150–160). New York: ACM Press.
Govindan, R., & Tangmunarunkit, H. (2000). Heuristics for internet map discovery. In Proceedings of the IEEE Infocom (Vol. 3, pp. 1371–1380). Tel-Aviv, Israel.
Huberman, B. A., & Adamic, L. A. (1999). Internet—growth dynamics of the World-Wide Web. Nature, 401(6749), 131.
Jeong, H., Tombor, B., Albert, R., Oltvai, Z. N., & Barabasi, A.-L. (2000). The large-scale organization of metabolic networks. Nature, 407, 651–654.
Krause, A. E., Frank, K. A., Mason, D. M., Ulanowicz, R. E., & Taylor, W. W. (2003). Compartments revealed in food-web structure. Nature, 426, 282–285.
Kumar, R., Raghavan, P., Rajalopagan, S., Sivakumar, D., Tomkins, A., & Upfal, E. (2000). The web as a graph. In Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on principles of database systems (pp. 1–10). Madison, WI.
Leicht, E. A., Clarkson, G., Shedden, K., & Newman, M. E. J. (2007). Large-scale structure of time evolving citation networks. European Physical Journal B, 59, 75–83.
Milgram, S. (1967). The small world problem. Psychology Today, 2, 60–67.
Newman, M. E. J. (2001a). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences of the USA, 98, 404–409.
Newman, M. E. J. (2001b). Scientific collaboration networks: I. Network construction and fundamental results. Physical Review E, 64(1), 8.
Newman, M. E. J. (2001c). Scientific collaboration networks: II. Shortest paths, weighted networks, and centrality. Physical Review E, 64, 7.
Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review, 45, 167–256.
Newman, M. E. J., Barabasi, A.-L., & Watts, D. J. (2006). The structure and dynamics of networks. Princeton: Princeton University Press.
Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69(2), 15.
Nooy, W., Mrvar, A., & Batagelj, V. (2005). Exploratory social network analysis with Pajek. New York: Cambridge University Press.
NWB Team. (2006). Network workbench tool. Indiana University, Northeastern University, University of Michigan, http://nwb.slis.indiana.edu.
Palla, G., Derenyi, I., Farkas, I., & Vicsek, T. (2005). Uncovering the overlapping community structure of complex networks in nature and society. Nature, 435, 814–818.
Pastor-Satorras, R., & Vespignani, A. (2001a). Epidemic dynamics and endemic states in complex networks. Physical Review E, 63(6), 066117.
Pastor-Satorras, R., & Vespignani, A. (2001b). Epidemic spreading in scale-free networks. Physical Review Letters, 86, 3200–3203.
Pastor-Satorras, R., & Vespignani, A. (2002a). Epidemic dynamics in finite size scale-free networks. Physical Review E, 65(3), 035108.
Pastor-Satorras, R., & Vespignani, A. (2002b). Immunization of complex networks. Physical Review E, 65(3), 036104.
Pastor-Satorras, R., & Vespignani, A. (2003). Epidemics and immunization in scale-free networks. In Handbook of graphs and networks. Wiley-VCH, Berlin.
Radicchi, F., Castellano, C., Cecconi, F., Loreto, V., & Parisi, D. (2004). Defining and identifying communities in networks. Proceedings of the National Academy of Sciences of the USA, 101, 2658–2663.
Shi, X., Tseng, B., & Adamic, L. (2009). Information diffusion in computer science citation networks. San Jose, CA: The International Conference on Weblogs and Social Media.
Strogatz, S. H. (2001). Exploring complex networks. Nature, 410, 268–276.
Wasserman, S., & Faust, K. (1994). Social network analysis. Cambridge: Cambridge University Press.
Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of “small-world” networks. Nature, 393, 440–442.
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Onel, S., Zeid, A. & Kamarthi, S. The structure and analysis of nanotechnology co-author and citation networks. Scientometrics 89, 119–138 (2011). https://doi.org/10.1007/s11192-011-0434-6
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DOI: https://doi.org/10.1007/s11192-011-0434-6