A Typology of Mathematical Diagrams
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A Typology of Mathematical Diagrams. / Johansen, Mikkel Willum; Misfeldt, Morten; Pallavicini, Josefine Lomholt.
Diagrammatic Representation and Inference - 10th International Conference, Diagrams 2018, Proceedings. ed. / Gem Stapleton; Francesco Bellucci; Amirouche Moktefi; Peter Chapman; Sarah Perez-Kriz. Springer, 2018. p. 105-119 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - A Typology of Mathematical Diagrams
AU - Johansen, Mikkel Willum
AU - Misfeldt, Morten
AU - Pallavicini, Josefine Lomholt
N1 - Conference code: 10th
PY - 2018/1/1
Y1 - 2018/1/1
N2 - In this paper, we develop and discuss a classification scheme that allows us to distinguish between the types of diagrams used in mathematical research based on the cognitive support offered by diagrams. By cognitive support, we refer to the gain that research mathematicians get from using diagrams. This support transcends the specific mathematical topic and diagram type involved and arises from the cognitive strategies mathematicians tend to use. The overall goal of this classification scheme is to facilitate a large-scale quantitative investigation of the norms and values governing the publication style of mathematical research, as well as trends in the kinds of cognitive support used in mathematics. This paper, however, focuses only on the development of the classification scheme. The classification scheme takes its point of departure from case studies known from the literature, but in this paper, we validate the scheme using examples from a preliminary investigation of developments in the use of diagrams. Building on these results, we discuss the potential and pitfalls in using one generic classification scheme, as done in this analysis. This approach is contrasted with attempts that respect and build on individual diagram types, and as part of this discussion, we report the problems we experienced when using that strategy. The paper ends with a description of possible next steps in using text corpora as an empirical approach to understanding the nature of mathematical diagrams and their relation to mathematical culture.
AB - In this paper, we develop and discuss a classification scheme that allows us to distinguish between the types of diagrams used in mathematical research based on the cognitive support offered by diagrams. By cognitive support, we refer to the gain that research mathematicians get from using diagrams. This support transcends the specific mathematical topic and diagram type involved and arises from the cognitive strategies mathematicians tend to use. The overall goal of this classification scheme is to facilitate a large-scale quantitative investigation of the norms and values governing the publication style of mathematical research, as well as trends in the kinds of cognitive support used in mathematics. This paper, however, focuses only on the development of the classification scheme. The classification scheme takes its point of departure from case studies known from the literature, but in this paper, we validate the scheme using examples from a preliminary investigation of developments in the use of diagrams. Building on these results, we discuss the potential and pitfalls in using one generic classification scheme, as done in this analysis. This approach is contrasted with attempts that respect and build on individual diagram types, and as part of this discussion, we report the problems we experienced when using that strategy. The paper ends with a description of possible next steps in using text corpora as an empirical approach to understanding the nature of mathematical diagrams and their relation to mathematical culture.
KW - Classification of diagrams
KW - Corpus analysis
KW - Mathematical cognition
UR - http://www.scopus.com/inward/record.url?scp=85048626587&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-91376-6_13
DO - 10.1007/978-3-319-91376-6_13
M3 - Article in proceedings
SN - 978-3-319-91375-9
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 105
EP - 119
BT - Diagrammatic Representation and Inference - 10th International Conference, Diagrams 2018, Proceedings
A2 - Stapleton, Gem
A2 - Bellucci, Francesco
A2 - Moktefi, Amirouche
A2 - Chapman, Peter
A2 - Perez-Kriz, Sarah
PB - Springer
T2 - 10th International Conference, Diagrams, 2018, Edinburgh
Y2 - 18 June 2018 through 22 June 2018
ER -
ID: 202334209