2017311 SFC
1
1. 2. Contents3. 4.
2
3
t*()t*(): (t*)novel
3
4Watts, D. J. 2011. Everything is Obvious: *Once You Knew The
Answer. Crown Business. ( . 2012. . .)
124
5VS. (Kuhn, 1996)Buchanan, M. UBIQUITY. Weidenfeld &
Nicolson. ( 2009.. .)Kuhn, T. 1996. The Structure of Scientific
Revolutions. Chicago: University of Chicago Press. ( . 1971..
.)
255
6. 2015. . .x*x x x x x
xmean
16
7Vlikangas, L. & Gibbert, M. 2015. Strategic Innovation: The
Definitive Guide to Outlier Strategies. Old Tappan: Pearson
Education Inc.Hawkins, D. M. (1980). Identification of Outliers.
London: Chapman and Hall.
7
8
, . 2015. . .
128
9P()P(|)P(|)
Hofmann, T. 2001. Unsupervised Learning by Probabilistic Latent
Semantic Analysis. Machine Learning, 42, 177196.P()P(|)P(|)
1.2.3.EM9
10Varadarajan, J., & Odobez, J.-M. 2009. Topic Models for
Scene Analysis and Abnormality Detection. In the ICCV Visual
Surveillance (ICCV-VS) workshop. Japan: Kyoto. :
https://youtu.be/w0Hs5vzcgfU?list=LLBe5jFiqhze7oKUgExU97UQ
3010
11
1ii
111
12
12
2
Contents
13
information systemsScopus2008201114,311*14*Data provided by
Scopus.com
2008~096,7032010~117,608
1. 2. 3. 4. (~2016)5. 6. SNIPSource Normalized Impact per
Paper
20,4326,703 34,6187,608
Scopusinformation systems6SNIPScopus13bag-of-words14
215
20,4326,70334,6187,608
34,6187,608
2010~112008~09
200820092010201122010201115
10
23SNIP16
() 17Onozuka, R., Yamazaki, T., & Kokuryo, J. (2016).
Redefiners of Discipline Borders: A Bayesian Detection Method for
Conceptual Changes in Scientific Knowledge. In Proceedings of the
International Conference on Information Systems - Digital
Innovation at the Crossroads, ICIS 2016, Dublin, Ireland, December
11-14, 2016.
16.6
16.617
()
18SNIP1
18
SNIP Contents
19
20
620
21
21
12coordinationsharing1webe321
15.49 0.51 15.65 0.47 25%
76
70
767015.4915.65t122
23
0.1r = -0.627p < 0.011SD
0.123
24
(3,132)(543)(3,415)(518)
180%51824
25
r = -0.318p < 0.01
-0.318
25
SNIP26
r = -0.107p > 0.10 (n.s.)SNIPSNIPSNIP
Scopus226
27
SNIPSNIP28
212SNIPSNIP35SNIP28
29
312
29
