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| 141 | + <unstructured_citation>Csardi, G., & Nepusz, T. (2006). The Igraph software package for complex network research. InterJournal Complex Systems, 1695, 1–9. https://doi.org/10.5281/zenodo.3630268</unstructured_citation> |
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| 172 | + <journal_title>Journal of Open Source Software</journal_title> |
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| 181 | + <author>Peixoto</author> |
| 182 | + <journal_title>figshare</journal_title> |
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| 186 | + </citation> |
| 187 | + <citation key="piaget1976piaget"> |
| 188 | + <volume_title>Piaget’s Theory</volume_title> |
| 189 | + <author>Piaget</author> |
| 190 | + <doi>10.1007/978-3-642-46323-5_2</doi> |
| 191 | + <cYear>1976</cYear> |
| 192 | + <unstructured_citation>Piaget, J. (1976). Piaget’s Theory. Springer. https://doi.org/10.1007/978-3-642-46323-5_2</unstructured_citation> |
| 193 | + </citation> |
| 194 | + <citation key="praggastis2024"> |
| 195 | + <article_title>HyperNetX: A Python package for modeling complex network data as hypergraphs</article_title> |
| 196 | + <author>Praggastis</author> |
| 197 | + <journal_title>Journal of Open Source Software</journal_title> |
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| 202 | + <unstructured_citation>Praggastis, B., Aksoy, S., Arendt, D., Bonicillo, M., Joslyn, C., Purvine, E., Shapiro, M., & Yun, J. Y. (2024). HyperNetX: A Python package for modeling complex network data as hypergraphs. Journal of Open Source Software, 9(95), 6016. https://doi.org/10.21105/joss.06016</unstructured_citation> |
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| 206 | + <author>Vygotsky</author> |
| 207 | + <volume>86</volume> |
| 208 | + <doi>10.4236/psych.2012.35060</doi> |
| 209 | + <cYear>1978</cYear> |
| 210 | + <unstructured_citation>Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes (Vol. 86). Harvard University Press. https://doi.org/10.4236/psych.2012.35060</unstructured_citation> |
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