The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit

Colin Klein; Marc Cheong; Marinus Ferreira; Emily Sullivan; Mark Alfano

doi:10.1007/978-3-031-21127-0_6

The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit

Colin Klein, Marc Cheong^*, Marinus Ferreira, Emily Sullivan, Mark Alfano

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

Abstract

The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper reports on an open-source re-implementation of their algorithm in Python, optimized to be usable on much larger networks. In addition to the algorithm and package, we also show the ability to scale up our package to large synthetic social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of ‘echo chambers’ on online social media, as well as interdisciplinary diversity in an academic communications network.

Original language	English
Title of host publication	Complex Networks and Their Applications XI
Subtitle of host publication	proceedings of the 11th International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Volume 1
Editors	Hocine Cherifi, Rosario Nunzio Mantegna, Luis M. Rocha, Chantal Cherifi, Salvatore Miccichè
Place of Publication	Cham, Switzerland
Publisher	Springer, Springer Nature
Pages	62-73
Number of pages	12
ISBN (Electronic)	9783031211270
ISBN (Print)	9783031211294, 9783031211263
DOIs	https://doi.org/10.1007/978-3-031-21127-0_6
Publication status	Published - 2023
Event	11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022 - Palermo, Italy Duration: 8 Nov 2022 → 10 Nov 2022

Publication series

Name	Studies in Computational Intelligence
Publisher	Springer
Volume	1077
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022
Country/Territory	Italy
City	Palermo
Period	8/11/22 → 10/11/22

Keywords

Python
Social epistemology
Social network analysis
Testimonial networks

Access to Document

10.1007/978-3-031-21127-0_6

Cite this

Klein, C., Cheong, M., Ferreira, M., Sullivan, E., & Alfano, M. (2023). The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit. In H. Cherifi, R. N. Mantegna, L. M. Rocha, C. Cherifi, & S. Miccichè (Eds.), Complex Networks and Their Applications XI: proceedings of the 11th International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Volume 1 (pp. 62-73). (Studies in Computational Intelligence; Vol. 1077). Springer, Springer Nature. https://doi.org/10.1007/978-3-031-21127-0_6

Klein, Colin ; Cheong, Marc ; Ferreira, Marinus et al. / The wisdom_of_crowds : an efficient, philosophically-validated, social epistemological network profiling toolkit. Complex Networks and Their Applications XI: proceedings of the 11th International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Volume 1. editor / Hocine Cherifi ; Rosario Nunzio Mantegna ; Luis M. Rocha ; Chantal Cherifi ; Salvatore Miccichè. Cham, Switzerland : Springer, Springer Nature, 2023. pp. 62-73 (Studies in Computational Intelligence).

@inproceedings{0dccd13bd96943b794e540a67c76b48c,

title = "The wisdom\_of\_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit",

abstract = "The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper reports on an open-source re-implementation of their algorithm in Python, optimized to be usable on much larger networks. In addition to the algorithm and package, we also show the ability to scale up our package to large synthetic social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of {\textquoteleft}echo chambers{\textquoteright} on online social media, as well as interdisciplinary diversity in an academic communications network.",

keywords = "Python, Social epistemology, Social network analysis, Testimonial networks",

author = "Colin Klein and Marc Cheong and Marinus Ferreira and Emily Sullivan and Mark Alfano",

year = "2023",

doi = "10.1007/978-3-031-21127-0\_6",

language = "English",

isbn = "9783031211294",

series = "Studies in Computational Intelligence",

publisher = "Springer, Springer Nature",

pages = "62--73",

editor = "Hocine Cherifi and Mantegna, \{Rosario Nunzio\} and Rocha, \{Luis M.\} and Chantal Cherifi and Salvatore Miccich{\`e}",

booktitle = "Complex Networks and Their Applications XI",

address = "United States",

note = "11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022 ; Conference date: 08-11-2022 Through 10-11-2022",

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Klein, C, Cheong, M, Ferreira, M, Sullivan, E & Alfano, M 2023, The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit. in H Cherifi, RN Mantegna, LM Rocha, C Cherifi & S Miccichè (eds), Complex Networks and Their Applications XI: proceedings of the 11th International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Volume 1. Studies in Computational Intelligence, vol. 1077, Springer, Springer Nature, Cham, Switzerland, pp. 62-73, 11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022, Palermo, Italy, 8/11/22. https://doi.org/10.1007/978-3-031-21127-0_6

The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit. / Klein, Colin; Cheong, Marc; Ferreira, Marinus et al.
Complex Networks and Their Applications XI: proceedings of the 11th International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Volume 1. ed. / Hocine Cherifi; Rosario Nunzio Mantegna; Luis M. Rocha; Chantal Cherifi; Salvatore Miccichè. Cham, Switzerland: Springer, Springer Nature, 2023. p. 62-73 (Studies in Computational Intelligence; Vol. 1077).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - The wisdom_of_crowds

T2 - 11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022

AU - Klein, Colin

AU - Cheong, Marc

AU - Ferreira, Marinus

AU - Sullivan, Emily

AU - Alfano, Mark

PY - 2023

Y1 - 2023

N2 - The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper reports on an open-source re-implementation of their algorithm in Python, optimized to be usable on much larger networks. In addition to the algorithm and package, we also show the ability to scale up our package to large synthetic social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of ‘echo chambers’ on online social media, as well as interdisciplinary diversity in an academic communications network.

AB - The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper reports on an open-source re-implementation of their algorithm in Python, optimized to be usable on much larger networks. In addition to the algorithm and package, we also show the ability to scale up our package to large synthetic social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of ‘echo chambers’ on online social media, as well as interdisciplinary diversity in an academic communications network.

KW - Python

KW - Social epistemology

KW - Social network analysis

KW - Testimonial networks

UR - https://www.scopus.com/pages/publications/85148740527

UR - http://purl.org/au-research/grants/arc/DP190101507

U2 - 10.1007/978-3-031-21127-0_6

DO - 10.1007/978-3-031-21127-0_6

M3 - Conference proceeding contribution

AN - SCOPUS:85148740527

SN - 9783031211294

SN - 9783031211263

T3 - Studies in Computational Intelligence

SP - 62

EP - 73

BT - Complex Networks and Their Applications XI

A2 - Cherifi, Hocine

A2 - Mantegna, Rosario Nunzio

A2 - Rocha, Luis M.

A2 - Cherifi, Chantal

A2 - Miccichè, Salvatore

PB - Springer, Springer Nature

CY - Cham, Switzerland

Y2 - 8 November 2022 through 10 November 2022

ER -

Klein C, Cheong M, Ferreira M, Sullivan E, Alfano M. The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit. In Cherifi H, Mantegna RN, Rocha LM, Cherifi C, Miccichè S, editors, Complex Networks and Their Applications XI: proceedings of the 11th International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Volume 1. Cham, Switzerland: Springer, Springer Nature. 2023. p. 62-73. (Studies in Computational Intelligence). doi: 10.1007/978-3-031-21127-0_6

The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

DP190101507: Trust in a Social and Digital World

Cite this

The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

DP190101507: Trust in a Social and Digital World

Cite this