Stitching together the heterogenous party: A complementary social data science experiment

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Stitching together the heterogenous party : A complementary social data science experiment. / Blok, Anders; Carlsen, Hjalmar Alexander Bang; Jørgensen, Tobias Bornakke; Madsen, Mette My; Ralund, Snorre; Pedersen, Morten Axel.

In: Big Data & Society, 2017, p. 1-15.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Blok, A, Carlsen, HAB, Jørgensen, TB, Madsen, MM, Ralund, S & Pedersen, MA 2017, 'Stitching together the heterogenous party: A complementary social data science experiment', Big Data & Society, pp. 1-15. https://doi.org/10.1177/2053951717736337

APA

Blok, A., Carlsen, H. A. B., Jørgensen, T. B., Madsen, M. M., Ralund, S., & Pedersen, M. A. (2017). Stitching together the heterogenous party: A complementary social data science experiment. Big Data & Society, 1-15. https://doi.org/10.1177/2053951717736337

Vancouver

Blok A, Carlsen HAB, Jørgensen TB, Madsen MM, Ralund S, Pedersen MA. Stitching together the heterogenous party: A complementary social data science experiment. Big Data & Society. 2017;1-15. https://doi.org/10.1177/2053951717736337

Author

Blok, Anders ; Carlsen, Hjalmar Alexander Bang ; Jørgensen, Tobias Bornakke ; Madsen, Mette My ; Ralund, Snorre ; Pedersen, Morten Axel. / Stitching together the heterogenous party : A complementary social data science experiment. In: Big Data & Society. 2017 ; pp. 1-15.

Bibtex

@article{6805fc128715447e9d04beef730a1220,
title = "Stitching together the heterogenous party: A complementary social data science experiment",
abstract = "The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to combine ‘big’ transactional and ‘small’ ethnographic data formats. Our collaboration is part of a larger cross-disciplinary project carried out at the Danish Technical University (DTU), where high-resolution transactional data from smartphones allows for recordings of social networks amongst a freshman class (N = 800). With a parallel deployment of ethnographic fieldwork among the DTU students, this research set-up raises a number of questions concerning how to assemble disparate ‘data-worlds’ and to what epistemological and political effects? To address these questions, a specific social event – a lively student party – was singled out from the broader DTU dataset. Our experimental collaboration used recordings of Bluetooth signals between students’ phones to visualize the ebb and flow of social intensities at the DTU party, juxtaposing these with ethnographic field-notes on shifting party atmospheres. Tracing and reflecting on the process of combining heterogeneous data, the article offers a concrete case of how a ‘stitching together’ of digital and ethnographic data-worlds might take place.",
keywords = "Faculty of Social Sciences, Big social data, ethnography, data-worlds, experiment, complementarity, party sociality",
author = "Anders Blok and Carlsen, {Hjalmar Alexander Bang} and J{\o}rgensen, {Tobias Bornakke} and Madsen, {Mette My} and Snorre Ralund and Pedersen, {Morten Axel}",
year = "2017",
doi = "10.1177/2053951717736337",
language = "English",
pages = "1--15",
journal = "Big Data & Society",
issn = "2053-9517",
publisher = "SAGE Publications",

}

RIS

TY - JOUR

T1 - Stitching together the heterogenous party

T2 - A complementary social data science experiment

AU - Blok, Anders

AU - Carlsen, Hjalmar Alexander Bang

AU - Jørgensen, Tobias Bornakke

AU - Madsen, Mette My

AU - Ralund, Snorre

AU - Pedersen, Morten Axel

PY - 2017

Y1 - 2017

N2 - The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to combine ‘big’ transactional and ‘small’ ethnographic data formats. Our collaboration is part of a larger cross-disciplinary project carried out at the Danish Technical University (DTU), where high-resolution transactional data from smartphones allows for recordings of social networks amongst a freshman class (N = 800). With a parallel deployment of ethnographic fieldwork among the DTU students, this research set-up raises a number of questions concerning how to assemble disparate ‘data-worlds’ and to what epistemological and political effects? To address these questions, a specific social event – a lively student party – was singled out from the broader DTU dataset. Our experimental collaboration used recordings of Bluetooth signals between students’ phones to visualize the ebb and flow of social intensities at the DTU party, juxtaposing these with ethnographic field-notes on shifting party atmospheres. Tracing and reflecting on the process of combining heterogeneous data, the article offers a concrete case of how a ‘stitching together’ of digital and ethnographic data-worlds might take place.

AB - The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to combine ‘big’ transactional and ‘small’ ethnographic data formats. Our collaboration is part of a larger cross-disciplinary project carried out at the Danish Technical University (DTU), where high-resolution transactional data from smartphones allows for recordings of social networks amongst a freshman class (N = 800). With a parallel deployment of ethnographic fieldwork among the DTU students, this research set-up raises a number of questions concerning how to assemble disparate ‘data-worlds’ and to what epistemological and political effects? To address these questions, a specific social event – a lively student party – was singled out from the broader DTU dataset. Our experimental collaboration used recordings of Bluetooth signals between students’ phones to visualize the ebb and flow of social intensities at the DTU party, juxtaposing these with ethnographic field-notes on shifting party atmospheres. Tracing and reflecting on the process of combining heterogeneous data, the article offers a concrete case of how a ‘stitching together’ of digital and ethnographic data-worlds might take place.

KW - Faculty of Social Sciences

KW - Big social data

KW - ethnography

KW - data-worlds

KW - experiment

KW - complementarity

KW - party sociality

U2 - 10.1177/2053951717736337

DO - 10.1177/2053951717736337

M3 - Journal article

SP - 1

EP - 15

JO - Big Data & Society

JF - Big Data & Society

SN - 2053-9517

ER -

ID: 185470675