Social network analysis to assess the impact of the CTSA on biomedical research grant collaboration

Clinical and Translational Science

Volumn 8, Issue 2, 2015, Pages 150-154

  Nagarajan, Radhakrishnan ^a,b   Peterson, Charlotte A ^b   Lowe, Jane S ^b   Wyatt, Stephen W ^a,b   Tracy, Timothy S ^b,c   Kern, Philip A ^b,c  

^a UNIVERSITY OF KENTUCKY COLLEGE OF PUBLIC HEALTH   (United States)

^b UNIVERSITY OF KENTUCKY   (United States)

^c UNIVERSITY OF KENTUCKY   (United States)

Author keywords

CTSA; Grant collaboration; Random graphs; Social networks; Team science

Indexed keywords

ARTICLE; COMMUNITY INTEGRATION; COMMUNITY PROGRAM; COMMUNITY STRUCTURE; HEALTH IMPACT ASSESSMENT; HUMAN; LEARNING ALGORITHM; MEDICAL DOCUMENTATION; MEDICAL RESEARCH; PRIORITY JOURNAL; PROGRAM IMPACT; SCIENTIST; SOCIAL NETWORK; TEAMWORK; TRANSLATIONAL RESEARCH; TREND STUDY; UNITED STATES; ALGORITHM; ECONOMICS; FINANCIAL MANAGEMENT; HEALTH CARE DISPARITY; INTERDISCIPLINARY COMMUNICATION; KENTUCKY; PERSONNEL; PROCEDURES; SOCIAL SUPPORT; TRENDS; UNIVERSITY;

ALGORITHMS; BIOMEDICAL RESEARCH; FINANCING, ORGANIZED; HEALTHCARE DISPARITIES; INTERDISCIPLINARY COMMUNICATION; KENTUCKY; RESEARCH PERSONNEL; RESEARCH SUPPORT AS TOPIC; SOCIAL NETWORKING; SOCIAL SUPPORT; TRANSLATIONAL MEDICAL RESEARCH; UNIVERSITIES;

EID: 84928048336     PISSN: 17528054     EISSN: 17528062     Source Type: Journal    
DOI: 10.1111/cts.12247     Document Type: Article

References (27)

1. Wuchty S, Jones BF, Uzzi B. The increasing dominance of teams in production of knowledge. Science. 2007; 316(5827): 1036-1039.
2. Jones BF, Wuchty S, Uzzi B. Multi-university research teams: shifting impact, geography, and stratification in science. Science. 2008; 322(5905): 1259-1262.
3. Falk-Krzesinski HJ, Börner K, Contractor N, Fiore SM, Hall KL, Keyton J, Spring B, Stokols D, Trochim W, Uzzi B. Advancing the science of team science. Clin. Transl. Sci. 2010; 3(5): 263-266.
4. Scott CS, Nagasawa PR, Abernethy NF, Ramsey BW, Martin PJ, Hacker BM, Schwartz HD, Brock DM, Robins LS, Wolf FM, et al. Expanding Assessments of Translational Research Programs: Supplementing Metrics With Value Judgments. Eval. Health Professions. 2013; 37: 83-97, doi: 0163278713500984.
5. Börner K, Contractor N, Falk-Krzesinski HJ, Fiore SM, Hall KL, Keyton J, Spring B, Stokols D, Trochim W, Uzzi B, et al. A multi-level systems perspective for the science of team science. Sci. Transl. Med. 2010; 2(49): 49cm24-49cm24.
6. Khoury MJ, Gwinn M, Yoon PW, Dowling N, Moore CA, Bradley L. The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention? Genet. Med. 2007; 9(10): 665-674.
7. Rubio DM, Sufian M, Trochim WM. Strategies for a national evaluation of the Clinical and Translational Science Awards. Clin. Transl. Sci. 2012; 5(2): 138-139.
8. Hughes ME, Peeler J, Hogenesch JB. Network dynamics to evaluate performance of an academic institution. Sci. Transl. Med. 2010; 2(53): 53ps49-53ps49.
9. Nagarajan R, Kalinka AT, Hogan WR. Evidence of community structure in biomedical research grant collaborations. J. Biomed. Informat. 2013; 46(1): 40-46.
10. Nagarajan R, Lowery CL, Hogan WR. Temporal Evolution of Biomedical Research Grant Collaborations Across Multiple Scales-A CTSA Baseline Study. Paper presented at: AMIA annual symposium proceedings, Washington, D.C.: 2011.
11. Lee LS, Pusek SN, McCormack WT, Helitzer DL, Martina CA, Dozier AM, Ahluwalia JS, Schwartz LS, McManus LM, Reynolds BD, et al. Clinical and translational scientist career success: metrics for evaluation. Clin. Transl. Sci. 2012; 5(5): 400-407.
12. Newman ME, Girvan M. Finding and evaluating community structure in networks. Phys. Rev. E. 2004; 69(2): 026113.
13. Clauset A, Newman ME, Moore C. Finding community structure in very large networks. Phys. Rev. E. 2004; 70(6): 066111.
14. Radicchi F, Castellano C, Cecconi F, Loreto V, Parisi D. Defining and identifying communities in networks. Proc. Natl. Acad. Sci. U.S. A. 2004; 101(9): 2658-2663.
15. Palla G, Derényi I, Farkas I, Vicsek T. Uncovering the overlapping community structure of complex networks in nature and society. Nature. 2005; 435(7043): 814-818.
16. Pons P, Latapy M. Computing communities in large networks using random walks. Computer and Information Sciences-ISCIS Istanbul, Turkey: Springer; 2005: 284-293.
17. Fortunato S, Barthelemy M. Resolution limit in community detection. Proc. Natl. Acad. Sci. 2007; 104(1): 36-41.
18. Evans T, Lambiotte R. Line graphs, link partitions, and overlapping communities. Phys. Rev. E. 2009; 80(1): 016105.
19. Ahn Y-Y, Bagrow JP, Lehmann S. Link communities reveal multiscale complexity in networks. Nature. 2010; 466(7307): 761-764.
20. Kalinka AT, Tomancak P. Linkcomm: an R package for the generation, visualization, and analysis of link communities in networks of arbitrary size and type. Bioinformatics. 2011; 27(14): 2011-2012.
21. Weigend AS, Gershenfeld NA. Time series prediction: forecasting the future and understanding the past. Paper presented at: Santa Fe Institute Studies in the Sciences of Complexity, Santa Fe, New Mexico, May 14-17, 1992 (Reading, MA: Addison-Wesley, | c1994, edited by Weigend, Andreas S.; Gershenfeld, Neil A.1994), 457-474.
22. Schreiber T, Schmitz A. Discrimination power of measures for nonlinearity in a time series. Physical Review E. 1997; 55(5): 5443.
23. Schreiber T, Schmitz A. Surrogate time series. Phys. D: Nonlinear Phenomena. 2000; 142(3): 346-382.
24. Nagarajan R. Local analysis of dissipative dynamical systems. Int. J. Bifurcation Chaos. 2005; 15(05): 1515-1547.
25. Erdos P, Renyi A. On random graphs I. Publ. Math. Debrecen. 1959; 6: 290-297.
26. Hu Y. Efficient, high-quality force-directed graph drawing. Math. J. 2006; 10(1): 37-71.
27. Bastian M, Heymann S, Jacomy M. Gephi: an open source software for exploring and manipulating networks. 2009.