Including Bibliography#
Including a bibliography is of utmost importance in any academic or research work. A bibliography serves as a comprehensive list of all the sources consulted and referenced during the creation of a paper, essay, or any scholarly project. It not only adds credibility to the work but also demonstrates the depth of research conducted by the author. By providing a bibliography, the author acknowledges the contributions of other scholars and researchers, thereby showing respect for intellectual property and avoiding plagiarism.
Furthermore, a bibliography allows readers to delve deeper into the subject matter, explore related sources, and verify the accuracy and reliability of the information presented. In essence, the inclusion of a well-constructed bibliography is an essential aspect of scholarly writing that promotes transparency, authenticity, and the advancement of knowledge.
Usage#
The template includes docs/bibliography.bib as example, containing an entry to the World Bank flagship publication World Development Report 2021 in BibTeX Format.
To include a citation, we use the syntax as shown below.
{cite}`WorldBank2021WorldDevelopmentReport`
Additionally, we can use different citation styles.
{cite:t}: World Bank [WorldBank21]
{cite:p}: [WorldBank21]
See also
For a more complete list of in-line citation styles, check out the sphinxcontrib-bibtex.
To include the bibliography, we use the syntax as shown below. Note that this will include all citations throughout the book.
```{bibliography}
```
- BBG+18
Hugo Barbosa, Marc Barthelemy, Gourab Ghoshal, Charlotte R James, Maxime Lenormand, Thomas Louail, Ronaldo Menezes, José J Ramasco, Filippo Simini, and Marcello Tomasini. Human mobility: models and applications. Physics Reports, 734:1–74, 2018.
- DWE15
Adrian Dobra, Nathalie E Williams, and Nathan Eagle. Spatiotemporal detection of unusual human population behavior using mobile phone data. PloS one, 10(3):e0120449, 2015.
- GHB08
Marta C Gonzalez, Cesar A Hidalgo, and Albert-Laszlo Barabasi. Understanding individual human mobility patterns. nature, 453(7196):779–782, 2008.
- JYG+16
Shan Jiang, Yingxiang Yang, Siddharth Gupta, Daniele Veneziano, Shounak Athavale, and Marta C González. The timegeo modeling framework for urban mobility without travel surveys. Proceedings of the National Academy of Sciences, 113(37):E5370–E5378, 2016.
- YJLG+21
Takahiro Yabe, Nicholas KW Jones, Nancy Lozano-Gracia, Maham Faisal Khan, Satish V Ukkusuri, Samuel Fraiberger, and Aleister Montfort. Location data reveals disproportionate disaster impact amongst the poor: a case study of the 2017 puebla earthquake using mobilkit. arXiv preprint arXiv:2107.13590, 2021.
- WorldBank21(1,2)
World Bank. World Development Report 2021 : Data for Better Lives. World Bank, 2021. License: CC BY 3.0 IGO. URL: http://hdl.handle.net/10986/35218.
To include only the local bibliography, we use the syntax as shown below.
```{bibliography}
:filter: docname in docnames
```
- WorldBank21(1,2)
World Bank. World Development Report 2021 : Data for Better Lives. World Bank, 2021. License: CC BY 3.0 IGO. URL: http://hdl.handle.net/10986/35218.
Bibliography Styles#
alpha#
```{bibliography}
:style: alpha
```
- BBG+18
Hugo Barbosa, Marc Barthelemy, Gourab Ghoshal, Charlotte R James, Maxime Lenormand, Thomas Louail, Ronaldo Menezes, José J Ramasco, Filippo Simini, and Marcello Tomasini. Human mobility: models and applications. Physics Reports, 734:1–74, 2018.
- DWE15
Adrian Dobra, Nathalie E Williams, and Nathan Eagle. Spatiotemporal detection of unusual human population behavior using mobile phone data. PloS one, 10(3):e0120449, 2015.
- GHB08
Marta C Gonzalez, Cesar A Hidalgo, and Albert-Laszlo Barabasi. Understanding individual human mobility patterns. nature, 453(7196):779–782, 2008.
- JYG+16
Shan Jiang, Yingxiang Yang, Siddharth Gupta, Daniele Veneziano, Shounak Athavale, and Marta C González. The timegeo modeling framework for urban mobility without travel surveys. Proceedings of the National Academy of Sciences, 113(37):E5370–E5378, 2016.
- YJLG+21
Takahiro Yabe, Nicholas KW Jones, Nancy Lozano-Gracia, Maham Faisal Khan, Satish V Ukkusuri, Samuel Fraiberger, and Aleister Montfort. Location data reveals disproportionate disaster impact amongst the poor: a case study of the 2017 puebla earthquake using mobilkit. arXiv preprint arXiv:2107.13590, 2021.
- WorldBank21(1,2)
World Bank. World Development Report 2021 : Data for Better Lives. World Bank, 2021. License: CC BY 3.0 IGO. URL: http://hdl.handle.net/10986/35218.
plain#
```{bibliography}
:style: plain
```
- 1
Hugo Barbosa, Marc Barthelemy, Gourab Ghoshal, Charlotte R James, Maxime Lenormand, Thomas Louail, Ronaldo Menezes, José J Ramasco, Filippo Simini, and Marcello Tomasini. Human mobility: models and applications. Physics Reports, 734:1–74, 2018.
- 2
Adrian Dobra, Nathalie E Williams, and Nathan Eagle. Spatiotemporal detection of unusual human population behavior using mobile phone data. PloS one, 10(3):e0120449, 2015.
- 3
Marta C Gonzalez, Cesar A Hidalgo, and Albert-Laszlo Barabasi. Understanding individual human mobility patterns. nature, 453(7196):779–782, 2008.
- 4
Shan Jiang, Yingxiang Yang, Siddharth Gupta, Daniele Veneziano, Shounak Athavale, and Marta C González. The timegeo modeling framework for urban mobility without travel surveys. Proceedings of the National Academy of Sciences, 113(37):E5370–E5378, 2016.
- 5
Takahiro Yabe, Nicholas KW Jones, Nancy Lozano-Gracia, Maham Faisal Khan, Satish V Ukkusuri, Samuel Fraiberger, and Aleister Montfort. Location data reveals disproportionate disaster impact amongst the poor: a case study of the 2017 puebla earthquake using mobilkit. arXiv preprint arXiv:2107.13590, 2021.
- 6(1,2)
World Bank. World Development Report 2021 : Data for Better Lives. World Bank, 2021. License: CC BY 3.0 IGO. URL: http://hdl.handle.net/10986/35218.
unsrt#
```{bibliography}
:style: unsrt
```
- 1
Shan Jiang, Yingxiang Yang, Siddharth Gupta, Daniele Veneziano, Shounak Athavale, and Marta C González. The timegeo modeling framework for urban mobility without travel surveys. Proceedings of the National Academy of Sciences, 113(37):E5370–E5378, 2016.
- 2
Marta C Gonzalez, Cesar A Hidalgo, and Albert-Laszlo Barabasi. Understanding individual human mobility patterns. nature, 453(7196):779–782, 2008.
- 3
Hugo Barbosa, Marc Barthelemy, Gourab Ghoshal, Charlotte R James, Maxime Lenormand, Thomas Louail, Ronaldo Menezes, José J Ramasco, Filippo Simini, and Marcello Tomasini. Human mobility: models and applications. Physics Reports, 734:1–74, 2018.
- 4
Adrian Dobra, Nathalie E Williams, and Nathan Eagle. Spatiotemporal detection of unusual human population behavior using mobile phone data. PloS one, 10(3):e0120449, 2015.
- 5
Takahiro Yabe, Nicholas KW Jones, Nancy Lozano-Gracia, Maham Faisal Khan, Satish V Ukkusuri, Samuel Fraiberger, and Aleister Montfort. Location data reveals disproportionate disaster impact amongst the poor: a case study of the 2017 puebla earthquake using mobilkit. arXiv preprint arXiv:2107.13590, 2021.
- 6(1,2)
World Bank. World Development Report 2021 : Data for Better Lives. World Bank, 2021. License: CC BY 3.0 IGO. URL: http://hdl.handle.net/10986/35218.
unsrtalpha#
```{bibliography}
:style: unsrtalpha
```
- JYG+16
Shan Jiang, Yingxiang Yang, Siddharth Gupta, Daniele Veneziano, Shounak Athavale, and Marta C González. The timegeo modeling framework for urban mobility without travel surveys. Proceedings of the National Academy of Sciences, 113(37):E5370–E5378, 2016.
- GHB08
Marta C Gonzalez, Cesar A Hidalgo, and Albert-Laszlo Barabasi. Understanding individual human mobility patterns. nature, 453(7196):779–782, 2008.
- BBG+18
Hugo Barbosa, Marc Barthelemy, Gourab Ghoshal, Charlotte R James, Maxime Lenormand, Thomas Louail, Ronaldo Menezes, José J Ramasco, Filippo Simini, and Marcello Tomasini. Human mobility: models and applications. Physics Reports, 734:1–74, 2018.
- DWE15
Adrian Dobra, Nathalie E Williams, and Nathan Eagle. Spatiotemporal detection of unusual human population behavior using mobile phone data. PloS one, 10(3):e0120449, 2015.
- YJLG+21
Takahiro Yabe, Nicholas KW Jones, Nancy Lozano-Gracia, Maham Faisal Khan, Satish V Ukkusuri, Samuel Fraiberger, and Aleister Montfort. Location data reveals disproportionate disaster impact amongst the poor: a case study of the 2017 puebla earthquake using mobilkit. arXiv preprint arXiv:2107.13590, 2021.
- WorldBank21(1,2)
World Bank. World Development Report 2021 : Data for Better Lives. World Bank, 2021. License: CC BY 3.0 IGO. URL: http://hdl.handle.net/10986/35218.