目次 : 『千葉医学雑誌 オープン・アクセス・ペーパー』 92E巻4号 2016年8月

<p>(a) Clustering evolution of oil importers. (b) Evolution of cluster ratios.</p

Evolution of the three largest eigenvalues <i>λ</i>_<i>i</i>(<i>i</i> = 1, 2, 3) of 〈<i>C</i>(<i>t</i>)〉.

<p>The horizontal red line shows the critical values <i>λ</i>_5% of eigenvalues at the significance level of 5% at each time <i>t</i>.</p

Principle of the sliding-time windows method.

<p>The time series of oil imports are sliced with 23 superposed windows.</p

Evolution of the number of countries with annual oil trading volume in excess of 1 million tons during 2001–2013.

<p>Evolution of the number of countries with annual oil trading volume in excess of 1 million tons during 2001–2013.</p

The relationship of cumulative degree distribution and degree, cumulative strength distribution and strength in log-log coordinate of 2013.

<p>The relationship of cumulative degree distribution and degree, cumulative strength distribution and strength in log-log coordinate of 2013.</p

Evolution of information entropy and standard information entropy of global oil trade network.

<p>The overall trend is increasing gradually and slowly. It means the global oil trade network tends to be homogeneous slightly.</p

Correlation matrices <i>C</i>(<i>t</i>).

<p>The ending time <i>t</i> of the windows are 2007.06, 2008.01, 2008.11, 2010.12 and 2013.05 respectively.</p

Evolution of absorption ratio <i>E</i>_<i>i</i>(<i>t</i>) for <i>i</i> = 1, 2, 3.

<p>Evolution of absorption ratio <i>E</i>_<i>i</i>(<i>t</i>) for <i>i</i> = 1, 2, 3.</p

Evolution of average correlation coefficient.

<p>The horizontal blue line represents the critical value at significance level 5% of the correlation coefficient at each time <i>t</i>.</p

Evolutions of global oil market fitness and GDP (the totality of the 38 oil-dependent countries GDP).

<p>Evolutions of global oil market fitness and GDP (the totality of the 38 oil-dependent countries GDP).</p