과제정보
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government (MSIT) (No. 2020R1F1A1A01050674).
참고문헌
- Abbasi A, Altmann J, and Hossain L (2011). Identifying the effects of co-authorship networks on the performance of scholars, Journal of Informetrics, 5, 594-607. https://doi.org/10.1016/j.joi.2011.05.007
- Abbasi A and Hossain L (2013). Hybrid centrality measures for binary and weighted networks, Complex Networks, Springer, Berlin, Heidelberg.
- Barrat A, Barthelemy M, Pastor-Satorras R, and Vespignani A (2004). The architecture of complex weighted networks, Proceedings of the National Academy of Sciences, 101, 3747-3752. https://doi.org/10.1073/pnas.0400087101
- Brandes U (2001). A faster algorithm for betweenness centrality, The Journal of Mathematical Sociology, 25, 163-177. https://doi.org/10.1080/0022250X.2001.9990249
- Dijkstra EW (1959). A note on two problems in connexion with graphs, Numerische Mathematik, 269-271.
- Freeman LC (1977). A set of measures of centrality based on betweenness, Sociometry, 40, 35-41. https://doi.org/10.2307/3033543
- Freeman LC (1978). Centrality in social networks conceptual clarification, Social Networks, 1, 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
- Hosseini SS and Noorossana R (2018). Performance evaluation of EWMA and CUSUM control charts to detect anomalies in social networks using average and standard deviation of degree measures, Quality and Reliability Engineering International, 34, 477-500. https://doi.org/10.1002/qre.2267
- Knoth S (2021). R software package 'spc': Statistical process control- Calculation of ARL and other control chart performance measures.
- Newman MEJ (2001). Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality, Physical Review E, 64, 016132.
- Opsahl T, Agneessens F, and Skvoretz J (2010). Node centrality in weighted networks: generalizing degree and shortest paths, Social Networks, 32, 245-251. https://doi.org/10.1016/j.socnet.2010.03.006
- Perry MB (2020). An EWMA control chart for categorical processes with applications to social network monitoring, Journal of Quality Technology, 52, 182-197. https://doi.org/10.1080/00224065.2019.1571343
- Priebe CE, Conroy JM, Marchette DJ, and Park Y (2005). Scan statistics on Enron graphs, Computational and Mathematical Organization Theory, 11, 229-247. https://doi.org/10.1007/s10588-005-5378-z
- Reynolds MR Jr and Stoumbos ZG (1999). A CUSUM chart for monitoring a proportion when inspecting continuously, Journal of Quality Technology, 31, 87-108. https://doi.org/10.1080/00224065.1999.11979900
- Roberts SW (1959). Control chart tests based on geometric moving averages,Technometrics, 1, 239-250. https://doi.org/10.1080/00401706.1959.10489860
- Ryan AG, Wells LJ, and Woodall WH (2011). Methods for monitoring multiple proportions when inspecting continuously, Journal of Quality Technology, 43, 237-248. https://doi.org/10.1080/00224065.2011.11917860
- Scott J (1991). Social Network Analysis: A Handbook, Sage Publications, Inc.
- Wilson JD, Stevens NT, and Woodall WH (2019). Modeling and detecting change in temporal networks via a dynamic degree corrected stochastic block model, Quality and Reliability Engineering International, 35, 1363-1378. https://doi.org/10.1002/qre.2520
- Yu L, Woodall WH, and Tsui KL (2018). Detecting node propensity changes in the dynamic degree corrected stochastic block model, Social Networks, 54, 209-227. https://doi.org/10.1016/j.socnet.2018.03.004
- Yu L, Zwetsloot IM, Stevens NT, Wilson JD, and Tsui KL (2021). Monitoring dynamic networks: A simulation-based strategy for comparing monitoring methods and a comparative study, Quality and Reliability Engineering International, 39, 1226-1250.