如何使用NoteExpress在LaTeX中建立论文的参考文献 - 版本历史

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←上一版本		2020年6月12日 (五) 02:09的版本
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−	'''CTeX(~~TextMaker~~)中使用 BibTeX'''	+	'''CTeX(Textwork、TextMaker)中使用 BibTeX'''

@@ 第40行： / 第40行： @@
 @article{AckermannAngus-172,
- Author = {Ackermann, Klaus and Angus, Simon D.},
+Author = {Ackermann, Klaus and Angus, Simon D.},
- Title = {A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity},
+Title = {A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity},
- Journal = {Procedia Computer Science},
+Journal = {Procedia Computer Science},
- Volume = {29},
+Volume = {29},
- Number = {0},
+Number = {0},
- Pages = {2360-2369},
+Pages = {2360-2369},
- DOI = {10.1016/j.procs.2014.05.220},
+DOI = {10.1016/j.procs.2014.05.220},
- Abstract = {This paper presents a novel and efficient way of analysing big datasets used in social science research. We provide and demonstrate a way to deal with such datasets without the need for high performance distributed computational facilities. Using an Internet census dataset and with the help of freely available tools and programming libraries, we visualize global IP activity in a spatial and time dimension. We observe a considerable reduction in storage size of our dataset coupled with a faster processing time.},
+Abstract = {This paper presents a novel and efficient way of analysing big datasets used in social science research. We provide and demonstrate a way to deal with such datasets without the need for high performance distributed computational facilities. Using an Internet census dataset and with the help of freely available tools and programming libraries, we visualize global IP activity in a spatial and time dimension. We observe a considerable reduction in storage size of our dataset coupled with a faster processing time.},
- Keywords = {Big Data; Social Sciences; Internet Census; GIS; Memory Reduction},
+Keywords = {Big Data; Social Sciences; Internet Census; GIS; Memory Reduction},
- Year = {2014} }
+Year = {2014} }

@@ 第40行： / 第40行： @@
 @article{AckermannAngus-172,
-  Author = {Ackermann, Klaus and Angus, Simon D.},
+ Author = {Ackermann, Klaus and Angus, Simon D.},
-  Title = {A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity},
+ Title = {A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity},
-  Journal = {Procedia Computer Science},
+ Journal = {Procedia Computer Science},
-  Volume = {29},
+ Volume = {29},
-  Number = {0},
+ Number = {0},
-  Pages = {2360-2369},
+ Pages = {2360-2369},
-  DOI = {10.1016/j.procs.2014.05.220},
+ DOI = {10.1016/j.procs.2014.05.220},
-  Abstract = {This paper presents a novel and efficient way of analysing big datasets used in social science research. We provide and demonstrate a way to deal with such datasets without the need for high performance distributed computational facilities. Using an Internet census dataset and with the help of freely available tools and programming libraries, we visualize global IP activity in a spatial and time dimension. We observe a considerable reduction in storage size of our dataset coupled with a faster processing time.},
+ Abstract = {This paper presents a novel and efficient way of analysing big datasets used in social science research. We provide and demonstrate a way to deal with such datasets without the need for high performance distributed computational facilities. Using an Internet census dataset and with the help of freely available tools and programming libraries, we visualize global IP activity in a spatial and time dimension. We observe a considerable reduction in storage size of our dataset coupled with a faster processing time.},
-  Keywords = {Big Data; Social Sciences; Internet Census; GIS; Memory Reduction},
+ Keywords = {Big Data; Social Sciences; Internet Census; GIS; Memory Reduction},
-  Year = {2014} }
+ Year = {2014} }

@@ 第6行： / 第6行： @@
-[[文件:Latax.jpg]]
+[[文件:Latax.jpg|center|]]
@@ 第40行： / 第40行： @@
 @article{AckermannAngus-172,
-Author = {Ackermann, Klaus and Angus, Simon D.},
+  Author = {Ackermann, Klaus and Angus, Simon D.},
-Title = {A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity},
+  Title = {A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity},
-Journal = {Procedia Computer Science},
+  Journal = {Procedia Computer Science},
-Volume = {29},
+  Volume = {29},
-Number = {0},
+  Number = {0},
-Pages = {2360-2369},
+  Pages = {2360-2369},
-DOI = {10.1016/j.procs.2014.05.220},
+  DOI = {10.1016/j.procs.2014.05.220},
-Abstract = {This paper presents a novel and efficient way of analysing big datasets used in social science research. We provide and demonstrate a way to deal with such datasets without the need for high performance distributed computational facilities. Using an Internet census dataset and with the help of freely available tools and programming libraries, we visualize global IP activity in a spatial and time dimension. We observe a considerable reduction in storage size of our dataset coupled with a faster processing time.},
+  Abstract = {This paper presents a novel and efficient way of analysing big datasets used in social science research. We provide and demonstrate a way to deal with such datasets without the need for high performance distributed computational facilities. Using an Internet census dataset and with the help of freely available tools and programming libraries, we visualize global IP activity in a spatial and time dimension. We observe a considerable reduction in storage size of our dataset coupled with a faster processing time.},
-Keywords = {Big Data; Social Sciences; Internet Census; GIS; Memory Reduction},
+  Keywords = {Big Data; Social Sciences; Internet Census; GIS; Memory Reduction},
-Year = {2014} }
+  Year = {2014} }

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−	[[文件:Latax2.jpg\|800px\|thumb\|~~left~~\|]]	+	[[文件:Latax2.jpg\|800px\|thumb\|center\|]]

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		+

	'''其他说明：'''		'''其他说明：'''

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−	[[文件:Latax2.jpg\|~~600px~~\|thumb\|left\|]]	+	[[文件:Latax2.jpg\|800px\|thumb\|left\|]]

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 . 加入 BibTeX 相关代码，如:
-a. \bibliographystyle{IEEEfull} <b><font color=red> (IEEEfull可以替换为你所投杂志的BTS文件名，其控制引用参考文献格式）</font></b>
+<font color=red>a.</font> \bibliographystyle{IEEEfull} <b><font color=red> (IEEEfull可以替换为你所投杂志的BTS文件名，其控制引用参考文献格式）</font></b>
-b.  \cite{AckermannAngus-172}  <b><font color=red> (正文需要引用的引文，在NE里选择导出的题录，右键复制题录-复制BibTex引用 )   </font></b>
+<font color=red>b.</font>  \cite{AckermannAngus-172}  <b><font color=red> (正文需要引用的引文，在NE里选择导出的题录，右键复制题录-复制BibTex引用 )   </font></b>
-c. \bibliography{ne} %   <b><font color=red>（ne是NoteExprss导出的文件名，即你的bib格式）</font></b>
+<font color=red>c.</font> \bibliography{ne} %   <b><font color=red>（ne是NoteExprss导出的文件名，即你的bib格式）</font></b>