SlideShare a Scribd company logo
The Intellectual Structure of Digital Humanities:
An Author Co-Citation Analysis
Jin Gao, Oliver Duke-Williams, Simon Mahony,
Julianne Nyhan
UCL Centre for Digital Humanities
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
Analysis process
Chum, LLC/DSH, DHQ
Citation Data
2. remove self-citation
check each citation
received, if the author
is one of the citing
authors, full count -1
3. fractional citation count
check each remaining citation,
if it cites a paper that author A
co-authored with others, then
discount accordingly. (e.g. 3
authors, then 1/3)
4. author ranking
a) full list of 22,321
authors are cited
b) calculate the size of
the author node
proportionally
1. Full citation count
calculate the total
number of citations
the author received
data cleaning
author name
disambiguation
method
1. remove one time co-author
when cites at least one of A s
article, at least one of B s article
that is different from the one of
A, co-citation increases by 1.
2. calculate each pair of two
create the author co-citation
matrix containing co-citation
count for each pair of two
authors
3. assign to cluster
a) calculate similarity matrix
and coordinates
b) assign author to clusters with
different colour
exclusive all-author co-citation count
to construct author relation network
fractional non-self citation count
to calculate author node size
network construction
and visualisation
Analysis process
Citation Data
data
cleaning visualisation
relation
node size
Data collection
Citation Data
data
cleaning
Data collection
• Computers and the Humanities (CHum)
• Digital Scholarship in the Humanities (DSH) /
Literary and Linguistic Computing (LLC)
• Digital Humanities Quarterly (DHQ)
The number of articles by CHum, LLC/DSH, and DHQ. (1966-2016) 2,582 articles with 52,823
cited references.
The number of articles by CHum, LLC/DSH, and DHQ. (1966-2016) 2,582 articles with 52,823
cited references.
Data cleaning – 22,321 authors
• author name disambiguation (Strotmann, 2012)
– two names are mutually compatible
– they have common co-authors
– they have not co-authored any paper together
Strotmann, A., & Zhao, D. (2012). Author name disambiguation: What difference does it make
in author‐based citation analysis?. Journal of the Association for Information Science and
Technology, 63(9), 1820-1833.
Data analysis
node size relation
*author position byline is treated equally
Data analysis
node size
Fractional non-self citation count
Data analysis
node size
Fractional non-self citation count
Citation count
Non-self citation count
Data analysis
Paper 1 cited by 1
A B
Paper 2 cited by 100
A B C D
fractional citation count of A
1
2
× 1 +
1
4
× 100 = 25.5
Fractional value top 10
author
total
citation
nonself
citation
fractional nonself
citation value
1 burrows, j.f.*# 209 197 182.67
2 holmes, d.i.*# 201 164 114.16
3 mcgann, j.*# 116 116 112.60
4 robinson, p.*# 163 138 108.22
5 biber, d.# 129 127 96.07
6 mccarty, w.*#‡ 126 100 84.06
7 hayles, n.k. 78 78 76.50
8 hoover, d.l.*#‡ 101 73 71.17
9 sperberg-mcqueen, c.m.*# 134 128 67.28
10 burnard, l.*# 117 116 65.19
Published in CHum*, DSH/LLC#, DHQ‡
Data analysis
Exclusive co-citation count
relation
Data analysis
• Exclusive co-citation count
• when an article cites at least one paper of author A and at
least one of author B that is different from the one of A,
the co-citation count of authors A and B increases by 1
(Zhao, 2006)
Zhao, D. (2006). Towards all-author co-citation analysis. Information Processing & Management,
42(6), 1578-1591.
burrows
, j.f.
mcgann
, j.
mccarty,
w.
hoover,
d.l.
sperberg-
mcqueen,
c.m.
hockey,
s.
busa,
r.
terras,
m.
burrows,
j.f. 0 4 18 169 1 10 6 7
mcgann,
j. 4 0 62 8 9 10 5 17
mccarty,
w. 18 62 0 12 17 47 27 38
hoover,
d.l. 169 8 12 0 0 1 2 4
sperberg-
mcqueen,
c.m. 1 9 17 0 0 19 2 0
hockey, s. 10 10 47 1 19 0 32 6
busa, r. 6 5 27 2 2 32 0 1
terras, m. 7 17 38 4 0 6 1 0
Co-citation matrix example
Network construction
visualisation
relation
node size
software - VOSviewer 1.6.5
Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for
bibliometric mapping. Scientometrics, 84(2), 523-538.
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
History periods
• 1949 – 1970 Beginnings
• 1971 – 1985 Consolidation
• 1986 – 1990 New developments
• 1991 – now Era of the Internet
• Split by 2005
Hockey, S. (2004). The history of humanities computing. A companion to digital humanities, 3-19.
1966-1970
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
Beginnings
1971-1985
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
Consolidation
1986-1990
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
New developments
1991-2005
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
Era of the Internet (1)
2006-2016
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
Era of the Internet (2)
Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by
VOSviewer.
1966-1970 1971-1985 1986-1990
1991-2005 2006-2016
Future research
• citation is only one way
• citations vary each year
• citation lag time (5-8 years)
• more journals
• Twitter analysis
Thank you!
jin.gao.13@ucl.ac.uk
@Gaojin_

More Related Content

Similar to DH2017 - Intellectual Structure of Digital Humanities: author co-citation network analysis

Authorship
AuthorshipAuthorship
Authorship
MuhammadAsim423970
 
Applyng wtd pr cttn nets
Applyng wtd pr cttn netsApplyng wtd pr cttn nets
Applyng wtd pr cttn netsivan weinel
 
Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...
Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...
Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...
ijdms
 
genealogy-tree-academic
genealogy-tree-academicgenealogy-tree-academic
genealogy-tree-academicShobhit Kumar
 
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
Armin Haller
 
Network analyses of psychological science
Network analyses of psychological scienceNetwork analyses of psychological science
Network analyses of psychological science
Kevin Lanning
 
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre DriftWebometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
guest5ec99a
 
Webometrics 1.0 from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0from AltaVista to Small Worlds and Genre DriftWebometrics 1.0from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 from AltaVista to Small Worlds and Genre Drift
Lennart Björneborn
 
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre DriftWebometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
guest5ec99a
 
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre DriftWebometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
guest5ec99a
 
New Metrics for New Media Bay Area CIO IT Executives Meetup
New Metrics for New Media Bay Area CIO IT Executives MeetupNew Metrics for New Media Bay Area CIO IT Executives Meetup
New Metrics for New Media Bay Area CIO IT Executives Meetup
Tatyana Kanzaveli
 
INFO4990_Hossain
INFO4990_HossainINFO4990_Hossain
INFO4990_Hossainwebuploader
 
1026 telling story from text 2
1026 telling story from text 21026 telling story from text 2
1026 telling story from text 2
Ke Jiang
 
Bayesian Network 을 활용한 예측 분석
Bayesian Network 을 활용한 예측 분석Bayesian Network 을 활용한 예측 분석
Bayesian Network 을 활용한 예측 분석
datasciencekorea
 
Learning to Classify Users in Online Interaction Networks
Learning to Classify Users in Online Interaction NetworksLearning to Classify Users in Online Interaction Networks
Learning to Classify Users in Online Interaction Networks
Symeon Papadopoulos
 
The “use” of an electronic resource from a social network analysis perspective
The “use” of an electronic resource from a social network analysis perspectiveThe “use” of an electronic resource from a social network analysis perspective
The “use” of an electronic resource from a social network analysis perspective
Marie Kennedy
 
Testing Collaborative Filtering against Co-Citation Analysis and Bibliograph...
Testing Collaborative Filtering against  Co-Citation Analysis and Bibliograph...Testing Collaborative Filtering against  Co-Citation Analysis and Bibliograph...
Testing Collaborative Filtering against Co-Citation Analysis and Bibliograph...
Tamara Heck
 
2006-05-25__coi-semdis
2006-05-25__coi-semdis2006-05-25__coi-semdis
2006-05-25__coi-semdiswebuploader
 
Understanding Collaboration in Fluid Organizations, a Proximity Approach
Understanding Collaboration in Fluid Organizations, a Proximity ApproachUnderstanding Collaboration in Fluid Organizations, a Proximity Approach
Understanding Collaboration in Fluid Organizations, a Proximity Approach
Dawn Foster
 
Semantic citation
Semantic citationSemantic citation
Semantic citation
Deepak K
 

Similar to DH2017 - Intellectual Structure of Digital Humanities: author co-citation network analysis (20)

Authorship
AuthorshipAuthorship
Authorship
 
Applyng wtd pr cttn nets
Applyng wtd pr cttn netsApplyng wtd pr cttn nets
Applyng wtd pr cttn nets
 
Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...
Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...
Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...
 
genealogy-tree-academic
genealogy-tree-academicgenealogy-tree-academic
genealogy-tree-academic
 
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
 
Network analyses of psychological science
Network analyses of psychological scienceNetwork analyses of psychological science
Network analyses of psychological science
 
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre DriftWebometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
 
Webometrics 1.0 from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0from AltaVista to Small Worlds and Genre DriftWebometrics 1.0from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 from AltaVista to Small Worlds and Genre Drift
 
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre DriftWebometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
 
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre DriftWebometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
Webometrics 1.0 - from AltaVista to Small Worlds and Genre Drift
 
New Metrics for New Media Bay Area CIO IT Executives Meetup
New Metrics for New Media Bay Area CIO IT Executives MeetupNew Metrics for New Media Bay Area CIO IT Executives Meetup
New Metrics for New Media Bay Area CIO IT Executives Meetup
 
INFO4990_Hossain
INFO4990_HossainINFO4990_Hossain
INFO4990_Hossain
 
1026 telling story from text 2
1026 telling story from text 21026 telling story from text 2
1026 telling story from text 2
 
Bayesian Network 을 활용한 예측 분석
Bayesian Network 을 활용한 예측 분석Bayesian Network 을 활용한 예측 분석
Bayesian Network 을 활용한 예측 분석
 
Learning to Classify Users in Online Interaction Networks
Learning to Classify Users in Online Interaction NetworksLearning to Classify Users in Online Interaction Networks
Learning to Classify Users in Online Interaction Networks
 
The “use” of an electronic resource from a social network analysis perspective
The “use” of an electronic resource from a social network analysis perspectiveThe “use” of an electronic resource from a social network analysis perspective
The “use” of an electronic resource from a social network analysis perspective
 
Testing Collaborative Filtering against Co-Citation Analysis and Bibliograph...
Testing Collaborative Filtering against  Co-Citation Analysis and Bibliograph...Testing Collaborative Filtering against  Co-Citation Analysis and Bibliograph...
Testing Collaborative Filtering against Co-Citation Analysis and Bibliograph...
 
2006-05-25__coi-semdis
2006-05-25__coi-semdis2006-05-25__coi-semdis
2006-05-25__coi-semdis
 
Understanding Collaboration in Fluid Organizations, a Proximity Approach
Understanding Collaboration in Fluid Organizations, a Proximity ApproachUnderstanding Collaboration in Fluid Organizations, a Proximity Approach
Understanding Collaboration in Fluid Organizations, a Proximity Approach
 
Semantic citation
Semantic citationSemantic citation
Semantic citation
 

Recently uploaded

CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
camakaiclarkmusic
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
Special education needs
 
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxChapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
Model Attribute Check Company Auto Property
Model Attribute  Check Company Auto PropertyModel Attribute  Check Company Auto Property
Model Attribute Check Company Auto Property
Celine George
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
SACHIN R KONDAGURI
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
The Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptxThe Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptx
DhatriParmar
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
Jean Carlos Nunes Paixão
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
chanes7
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHatAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Scholarhat
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
Pavel ( NSTU)
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
DeeptiGupta154
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
Sandy Millin
 
Normal Labour/ Stages of Labour/ Mechanism of Labour
Normal Labour/ Stages of Labour/ Mechanism of LabourNormal Labour/ Stages of Labour/ Mechanism of Labour
Normal Labour/ Stages of Labour/ Mechanism of Labour
Wasim Ak
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
tarandeep35
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Dr. Vinod Kumar Kanvaria
 

Recently uploaded (20)

CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
 
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxChapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
 
Model Attribute Check Company Auto Property
Model Attribute  Check Company Auto PropertyModel Attribute  Check Company Auto Property
Model Attribute Check Company Auto Property
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
The Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptxThe Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptx
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHatAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
 
Normal Labour/ Stages of Labour/ Mechanism of Labour
Normal Labour/ Stages of Labour/ Mechanism of LabourNormal Labour/ Stages of Labour/ Mechanism of Labour
Normal Labour/ Stages of Labour/ Mechanism of Labour
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
 

DH2017 - Intellectual Structure of Digital Humanities: author co-citation network analysis

  • 1. The Intellectual Structure of Digital Humanities: An Author Co-Citation Analysis Jin Gao, Oliver Duke-Williams, Simon Mahony, Julianne Nyhan UCL Centre for Digital Humanities
  • 2. Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer.
  • 3. Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer.
  • 4. Analysis process Chum, LLC/DSH, DHQ Citation Data 2. remove self-citation check each citation received, if the author is one of the citing authors, full count -1 3. fractional citation count check each remaining citation, if it cites a paper that author A co-authored with others, then discount accordingly. (e.g. 3 authors, then 1/3) 4. author ranking a) full list of 22,321 authors are cited b) calculate the size of the author node proportionally 1. Full citation count calculate the total number of citations the author received data cleaning author name disambiguation method 1. remove one time co-author when cites at least one of A s article, at least one of B s article that is different from the one of A, co-citation increases by 1. 2. calculate each pair of two create the author co-citation matrix containing co-citation count for each pair of two authors 3. assign to cluster a) calculate similarity matrix and coordinates b) assign author to clusters with different colour exclusive all-author co-citation count to construct author relation network fractional non-self citation count to calculate author node size network construction and visualisation
  • 5. Analysis process Citation Data data cleaning visualisation relation node size
  • 7. Data collection • Computers and the Humanities (CHum) • Digital Scholarship in the Humanities (DSH) / Literary and Linguistic Computing (LLC) • Digital Humanities Quarterly (DHQ)
  • 8. The number of articles by CHum, LLC/DSH, and DHQ. (1966-2016) 2,582 articles with 52,823 cited references.
  • 9. The number of articles by CHum, LLC/DSH, and DHQ. (1966-2016) 2,582 articles with 52,823 cited references.
  • 10. Data cleaning – 22,321 authors • author name disambiguation (Strotmann, 2012) – two names are mutually compatible – they have common co-authors – they have not co-authored any paper together Strotmann, A., & Zhao, D. (2012). Author name disambiguation: What difference does it make in author‐based citation analysis?. Journal of the Association for Information Science and Technology, 63(9), 1820-1833.
  • 11. Data analysis node size relation *author position byline is treated equally
  • 12. Data analysis node size Fractional non-self citation count
  • 13. Data analysis node size Fractional non-self citation count Citation count Non-self citation count
  • 14. Data analysis Paper 1 cited by 1 A B Paper 2 cited by 100 A B C D fractional citation count of A 1 2 × 1 + 1 4 × 100 = 25.5
  • 15. Fractional value top 10 author total citation nonself citation fractional nonself citation value 1 burrows, j.f.*# 209 197 182.67 2 holmes, d.i.*# 201 164 114.16 3 mcgann, j.*# 116 116 112.60 4 robinson, p.*# 163 138 108.22 5 biber, d.# 129 127 96.07 6 mccarty, w.*#‡ 126 100 84.06 7 hayles, n.k. 78 78 76.50 8 hoover, d.l.*#‡ 101 73 71.17 9 sperberg-mcqueen, c.m.*# 134 128 67.28 10 burnard, l.*# 117 116 65.19 Published in CHum*, DSH/LLC#, DHQ‡
  • 17. Data analysis • Exclusive co-citation count • when an article cites at least one paper of author A and at least one of author B that is different from the one of A, the co-citation count of authors A and B increases by 1 (Zhao, 2006) Zhao, D. (2006). Towards all-author co-citation analysis. Information Processing & Management, 42(6), 1578-1591.
  • 18. burrows , j.f. mcgann , j. mccarty, w. hoover, d.l. sperberg- mcqueen, c.m. hockey, s. busa, r. terras, m. burrows, j.f. 0 4 18 169 1 10 6 7 mcgann, j. 4 0 62 8 9 10 5 17 mccarty, w. 18 62 0 12 17 47 27 38 hoover, d.l. 169 8 12 0 0 1 2 4 sperberg- mcqueen, c.m. 1 9 17 0 0 19 2 0 hockey, s. 10 10 47 1 19 0 32 6 busa, r. 6 5 27 2 2 32 0 1 terras, m. 7 17 38 4 0 6 1 0 Co-citation matrix example
  • 19. Network construction visualisation relation node size software - VOSviewer 1.6.5 Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
  • 20. Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer.
  • 21. Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer.
  • 22. History periods • 1949 – 1970 Beginnings • 1971 – 1985 Consolidation • 1986 – 1990 New developments • 1991 – now Era of the Internet • Split by 2005 Hockey, S. (2004). The history of humanities computing. A companion to digital humanities, 3-19.
  • 23. 1966-1970 Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer. Beginnings
  • 24. 1971-1985 Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer. Consolidation
  • 25. 1986-1990 Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer. New developments
  • 26. 1991-2005 Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer. Era of the Internet (1)
  • 27. 2006-2016 Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer. Era of the Internet (2)
  • 28. Author co-citation network, data from CHum, LLC/DSH, and DHQ. (1966-2016), generated by VOSviewer. 1966-1970 1971-1985 1986-1990 1991-2005 2006-2016
  • 29. Future research • citation is only one way • citations vary each year • citation lag time (5-8 years) • more journals • Twitter analysis