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The	
  “use”	
  of	
  an	
  electronic	
  
resource	
  from	
  a	
  social	
  
network	
  analysis	
  
perspective	
  
	
  
Marie	
  R.	
  Kennedy	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  David	
  P.	
  Kennedy	
  
Loyola	
  Marymount	
  University	
  	
  	
  	
  	
  	
  	
  	
  	
  RAND	
  Corporation	
  
What	
  is	
  a	
  “use”?	
  
!   An	
  access	
  
!   A	
  download	
  
!   A	
  hit	
  
!   A	
  search	
  
!   A	
  session	
  
!   A	
  save	
  
How	
  is	
  a	
  “use”	
  counted?	
  
!   COUNTER	
  “successful	
  full-­‐text	
  article	
  
requests”	
  
!   Proxy	
  server	
  “hits”	
  
!   Service	
  desk	
  transaction	
  data	
  via	
  Gimlet	
  
	
  
COUNTER	
  
!   How	
  the	
  statistics	
  are	
  typically	
  gathered	
  
!   SUSHI	
  protocol	
  assists	
  in	
  retrieval	
  
!   Retrieved	
  to	
  a	
  system	
  that	
  houses	
  or	
  to	
  
single	
  files	
  stored	
  locally	
  
“Both	
  Project	
  COUNTER	
  (Counting	
  Online	
  
Usage	
  of	
  NeTworked	
  Electronic	
  
Resources)	
  and	
  the	
  Standardized	
  Usage	
  
Statistics	
  Harvesting	
  Initiative	
  (SUSHI)	
  of	
  
the	
  National	
  Information	
  Standards	
  
Organization	
  (NISO)	
  lack	
  a	
  definition	
  for	
  a	
  
usage.”	
  (p.	
  8	
  Grogg	
  and	
  Fleming-­‐May).	
  	
  
Proxy	
  server	
  
!   How	
  the	
  statistics	
  are	
  typically	
  gathered	
  
!   Typically	
  a	
  manual	
  process	
  
!   Single	
  files	
  stored	
  locally	
  
Gimlet	
  
!   From	
  hash	
  marks	
  on	
  a	
  piece	
  of	
  scrap	
  
paper,	
  service	
  point	
  transactions	
  are	
  
now	
  entered	
  into	
  this	
  commercial	
  
system	
  
!   customizable	
  
	
  
Gimlet	
  at	
  LMU	
  
!   Manually	
  entered:	
  
!   Initials	
  
!   Where	
  the	
  transaction	
  
took	
  place	
  
!   Duration	
  of	
  the	
  
transaction	
  
!   Format	
  of	
  the	
  
transaction	
  
	
  
!   Questioner	
  
!   Question	
  Type	
  
!   Difficulty	
  
!   Question	
  asked	
  
!   Answer	
  
!   Tags	
  
Gimlet	
  at	
  LMU	
  
!   Automatically	
  entered:	
  
!   Date	
  
!   Day	
  of	
  the	
  week	
  
!   Time	
  
The “use” of an electronic resource from a social network analysis perspective
Guiding	
  question	
  
Can	
  a	
  social	
  network	
  analysis	
  of	
  “usage”	
  
contribute	
  to	
  a	
  deeper	
  understanding	
  of	
  
the	
  use	
  of	
  electronic	
  resources	
  in	
  an	
  
academic	
  setting?	
  
Methods	
  
!   Describe	
  and	
  compare	
  3	
  kinds	
  of	
  
measurements	
  of	
  electronic	
  resource	
  
usage	
  
!   June	
  1,	
  2011-­‐May	
  31,	
  2012	
  
COUNTER	
  
Proxy	
  server	
  
The “use” of an electronic resource from a social network analysis perspective
The “use” of an electronic resource from a social network analysis perspective
Social	
  Network	
  Analysis	
  
!   Data	
  extracted	
  from	
  Gimlet	
  
!   11,444	
  total	
  service	
  point	
  interactions	
  
!   4,024	
  tagged	
  as	
  reference	
  interactions	
  
!   1,548	
  of	
  the	
  reference	
  interactions	
  mention	
  
an	
  electronic	
  resource	
  
!   Universe	
  of	
  electronic	
  resources	
  at	
  LMU	
  
!   194	
  entries	
  (58%)	
  on	
  the	
  Research	
  
Databases	
  page	
  not	
  mentioned	
  once	
  
during	
  the	
  year	
  analyzed	
  
!   137	
  of	
  331	
  resources	
  mentioned	
  
Social	
  Network	
  Analysis	
  
!   New	
  data	
  set	
  created	
  
!   1,548	
  of	
  the	
  reference	
  interactions	
  
mention	
  an	
  electronic	
  resource	
  
!   Listed	
  the	
  resource	
  mentioned	
  and	
  
counted	
  each	
  time	
  it	
  was	
  suggested	
  
!   Analyzed	
  and	
  visualized	
  using	
  Ucinet,	
  
Netdraw	
  
	
  
The “use” of an electronic resource from a social network analysis perspective
Science	
  
Direct	
  
JSTOR	
   SAGE	
  
Journals	
  
Online	
  
Staff	
  1	
   0	
   4	
   1	
  
Staff	
  2	
   0	
   1	
   0	
  
Staff	
  3	
   2	
   0	
   1	
  
Ucinet	
  
Netdraw	
  
Sample	
  data	
  matrix	
  
The	
  universe	
  of	
  electronic	
  resources	
  and	
  Information	
  Desk	
  staff	
  
Electronic	
  resources	
  and	
  Information	
  Desk	
  staff,	
  by	
  color/shape	
  
The “use” of an electronic resource from a social network analysis perspective
The “use” of an electronic resource from a social network analysis perspective
Benefits	
  of	
  using	
  SNA	
  
!   We	
  are	
  provided	
  new	
  views	
  of	
  the	
  use	
  of	
  electronic	
  
resources,	
  especially	
  the	
  social	
  component.	
  	
  
!   We	
  can	
  see	
  which	
  resources	
  were	
  not	
  suggested	
  
over	
  the	
  course	
  of	
  one	
  year.	
  
!   We	
  have	
  evidence	
  that	
  e-­‐resources	
  are	
  suggested	
  
and	
  used	
  in	
  concert;	
  there	
  are	
  central	
  resources	
  
that	
  are	
  mentioned	
  together,	
  instead	
  of	
  a	
  single	
  e-­‐
resource	
  resolving	
  an	
  information	
  need.	
  
	
  
Type	
  of	
  
coun+ng	
  
mechanism	
  
Top	
  5	
  resources,	
  from	
  highest	
  to	
  lowest	
  
COUNTER	
   JSTOR	
  
Academic	
  
Search	
  
Complete	
  
OmniFile	
  
Full	
  Text	
  
Mega	
  (H.W.	
  
Wilson)	
  
Science	
  
Direct	
  
SAGE	
  
Journals	
  
Online	
  
proxy	
  server	
   ProQuest	
   EBSCO	
   LexisNexis	
   JSTOR	
  
SAGE	
  
Journals	
  
Online	
  
Gimlet	
  
Academic	
  
Search	
  
Complete	
  
JSTOR	
  
Business	
  
Source	
  
Complete	
  
ERIC	
   ATLA	
  
Type	
  of	
  
coun+ng	
  
mechanism	
  
Top	
  5	
  resources,	
  from	
  highest	
  to	
  lowest	
  
COUNTER	
   JSTOR	
  
Academic	
  
Search	
  
Complete	
  
OmniFile	
  
Full	
  Text	
  
Mega	
  (H.W.	
  
Wilson)	
  
Science	
  
Direct	
  
SAGE	
  
Journals	
  
Online	
  
proxy	
  server	
   ProQuest	
   EBSCO	
   LexisNexis	
   JSTOR	
  
SAGE	
  
Journals	
  
Online	
  
Gimlet	
  
Academic	
  
Search	
  
Complete	
  
JSTOR	
  
Business	
  
Source	
  
Complete	
  
ERIC	
   ATLA	
  
Future	
  research	
  
!   Further	
  analysis	
  on	
  existing	
  data	
  set	
  
!   Kinds	
  of	
  e-­‐resources	
  suggested	
  to	
  kinds	
  of	
  
patrons	
  
!   Kinds	
  of	
  reference	
  desk	
  staff	
  suggest	
  
which	
  kinds	
  of	
  e-­‐resources	
  
!   Expand	
  data	
  set	
  to	
  include	
  more	
  years	
  of	
  data	
  
!   Develop	
  e-­‐resource	
  marketing	
  plan	
  and	
  look	
  
at	
  resulting	
  3	
  kinds	
  of	
  usage	
  data	
  
Summary	
  
We	
  find	
  that	
  the	
  perspective	
  gained	
  from	
  
social	
  network	
  analysis	
  provides	
  a	
  
context-­‐aware	
  component	
  that	
  provides	
  a	
  
fuller	
  picture	
  of	
  the	
  “use”	
  of	
  electronic	
  
resources.	
  	
  
Contact	
  us	
  
Marie	
  R.	
  Kennedy	
  
marie.kennedy@lmu.edu	
  
David	
  P.	
  Kennedy	
  
davidk@rand.org	
  
This	
  presentation	
  is	
  supported	
  by	
  a	
  
Research	
  Incentive	
  Grant	
  from	
  the	
  	
  
William	
  H.	
  Hannon	
  Library	
  at	
  LMU	
  	
  
Bibliography	
  !  Bates,	
  Marcia.	
  1989.	
  The	
  Design	
  of	
  Browsing	
  and	
  Berrypicking	
  Techniques	
  for	
  the	
  Online	
  Search	
  Interface.	
  Online	
  Review,	
  13(5):	
  407-­‐424.	
  
! Borgatti,	
  S.P.	
  2002.	
  Netdraw	
  Network	
  Visualization.	
  Harvard:	
  Analytic	
  Technologies.	
  
! Borgatti,	
  S.P.,	
  Everett,	
  M.G.	
  and	
  Freeman,	
  L.C.	
  2002.	
  Ucinet	
  for	
  Windows:	
  Software	
  for	
  Social	
  Network	
  Analysis.	
  Harvard:	
  Analytic	
  
Technologies.	
  
! Dervin,	
  Brenda.	
  1977.	
  Useful	
  Theory	
  for	
  Librarianship:	
  Communication,	
  Not	
  Information.	
  Drexel	
  Library	
  Quarterly,	
  13(3):	
  16-­‐32.	
  
!  Fleming-­‐May,	
  R.	
  A.,	
  &	
  Grogg,	
  J.	
  E.	
  (2010a).	
  Assessing	
  Use	
  and	
  Usage:	
  The	
  Imperative	
  (the	
  concept	
  of	
  electronic	
  resource	
  usage	
  and	
  libraries).	
  
Library	
  Technology	
  Reports,	
  46(6):	
  5–10.	
  
! Haythornthwaite,	
  Caroline.	
  1996.	
  Social	
  Network	
  Analysis:	
  An	
  Approach	
  and	
  Technique	
  for	
  the	
  Study	
  of	
  Information	
  Exchange.	
  LISR,	
  18:	
  
323-­‐342.	
  
! Kulthau,	
  Carol.	
  1993.	
  A	
  Principle	
  of	
  Uncertainty	
  for	
  Information	
  Seeking.	
  Journal	
  of	
  Documentation,	
  49(4):	
  339-­‐355.	
  
!  Luther,	
  J.	
  (2001).	
  White	
  Paper	
  on	
  Electronic	
  Journal	
  Usage	
  Statistics.	
  The	
  Serials	
  Librarian,	
  41(2),	
  119–148.	
  
!  National	
  Information	
  Standards	
  Organization,	
  The	
  Standardized	
  Usage	
  Statistics	
  Harvesting	
  Initiative	
  (SUSHI)	
  Protocol,	
  ANSI/NISO	
  
Z39.93-­‐2013	
  (Baltimore,	
  MD:	
  NISO,	
  2013).	
  
!  Peters,	
  Thomas	
  A.	
  2002.	
  What’s	
  the	
  Use?	
  The	
  Value	
  of	
  E-­‐resources	
  Usage	
  Statistics.	
  New	
  Library	
  World,	
  103(1172/1173):	
  39-­‐47.	
  
! Talja,	
  Sanna.	
  2002.	
  Information	
  Sharing	
  in	
  Academic	
  Communities:	
  Types	
  and	
  Levels	
  of	
  Collaboration	
  in	
  Information	
  Seeking	
  and	
  Use.	
  New	
  
Review	
  of	
  Information	
  Behaviour	
  Research,	
  3:	
  143-­‐160.	
  
!  Tucker,	
  Cory.	
  2009.	
  Benchmarking	
  Usage	
  Statistics	
  in	
  Collection	
  Management	
  Decisions	
  for	
  Serials.	
  Journal	
  of	
  Electronic	
  Resources	
  
Librarianship,	
  21:	
  48-­‐61.	
  doi:	
  10.1080/19411260902858581	
  
! Zheng,	
  Yanlin,	
  and	
  Yoneo	
  Yano.	
  2006.	
  A	
  framework	
  of	
  context-­‐awareness	
  support	
  for	
  peer	
  recommendation	
  in	
  the	
  e-­‐learning	
  context.	
  British	
  
Journal	
  of	
  Educational	
  Technology,	
  38(2):	
  197-­‐210.	
  doi:	
  10.1111/j.1467-­‐8535.2006.00584.x	
  

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The “use” of an electronic resource from a social network analysis perspective

  • 1. The  “use”  of  an  electronic   resource  from  a  social   network  analysis   perspective     Marie  R.  Kennedy                                    David  P.  Kennedy   Loyola  Marymount  University                  RAND  Corporation  
  • 2. What  is  a  “use”?   !   An  access   !   A  download   !   A  hit   !   A  search   !   A  session   !   A  save  
  • 3. How  is  a  “use”  counted?   !   COUNTER  “successful  full-­‐text  article   requests”   !   Proxy  server  “hits”   !   Service  desk  transaction  data  via  Gimlet    
  • 4. COUNTER   !   How  the  statistics  are  typically  gathered   !   SUSHI  protocol  assists  in  retrieval   !   Retrieved  to  a  system  that  houses  or  to   single  files  stored  locally  
  • 5. “Both  Project  COUNTER  (Counting  Online   Usage  of  NeTworked  Electronic   Resources)  and  the  Standardized  Usage   Statistics  Harvesting  Initiative  (SUSHI)  of   the  National  Information  Standards   Organization  (NISO)  lack  a  definition  for  a   usage.”  (p.  8  Grogg  and  Fleming-­‐May).    
  • 6. Proxy  server   !   How  the  statistics  are  typically  gathered   !   Typically  a  manual  process   !   Single  files  stored  locally  
  • 7. Gimlet   !   From  hash  marks  on  a  piece  of  scrap   paper,  service  point  transactions  are   now  entered  into  this  commercial   system   !   customizable    
  • 8. Gimlet  at  LMU   !   Manually  entered:   !   Initials   !   Where  the  transaction   took  place   !   Duration  of  the   transaction   !   Format  of  the   transaction     !   Questioner   !   Question  Type   !   Difficulty   !   Question  asked   !   Answer   !   Tags  
  • 9. Gimlet  at  LMU   !   Automatically  entered:   !   Date   !   Day  of  the  week   !   Time  
  • 11. Guiding  question   Can  a  social  network  analysis  of  “usage”   contribute  to  a  deeper  understanding  of   the  use  of  electronic  resources  in  an   academic  setting?  
  • 12. Methods   !   Describe  and  compare  3  kinds  of   measurements  of  electronic  resource   usage   !   June  1,  2011-­‐May  31,  2012  
  • 17. Social  Network  Analysis   !   Data  extracted  from  Gimlet   !   11,444  total  service  point  interactions   !   4,024  tagged  as  reference  interactions   !   1,548  of  the  reference  interactions  mention   an  electronic  resource   !   Universe  of  electronic  resources  at  LMU   !   194  entries  (58%)  on  the  Research   Databases  page  not  mentioned  once   during  the  year  analyzed   !   137  of  331  resources  mentioned  
  • 18. Social  Network  Analysis   !   New  data  set  created   !   1,548  of  the  reference  interactions   mention  an  electronic  resource   !   Listed  the  resource  mentioned  and   counted  each  time  it  was  suggested   !   Analyzed  and  visualized  using  Ucinet,   Netdraw    
  • 20. Science   Direct   JSTOR   SAGE   Journals   Online   Staff  1   0   4   1   Staff  2   0   1   0   Staff  3   2   0   1   Ucinet   Netdraw   Sample  data  matrix  
  • 21. The  universe  of  electronic  resources  and  Information  Desk  staff  
  • 22. Electronic  resources  and  Information  Desk  staff,  by  color/shape  
  • 25. Benefits  of  using  SNA   !   We  are  provided  new  views  of  the  use  of  electronic   resources,  especially  the  social  component.     !   We  can  see  which  resources  were  not  suggested   over  the  course  of  one  year.   !   We  have  evidence  that  e-­‐resources  are  suggested   and  used  in  concert;  there  are  central  resources   that  are  mentioned  together,  instead  of  a  single  e-­‐ resource  resolving  an  information  need.    
  • 26. Type  of   coun+ng   mechanism   Top  5  resources,  from  highest  to  lowest   COUNTER   JSTOR   Academic   Search   Complete   OmniFile   Full  Text   Mega  (H.W.   Wilson)   Science   Direct   SAGE   Journals   Online   proxy  server   ProQuest   EBSCO   LexisNexis   JSTOR   SAGE   Journals   Online   Gimlet   Academic   Search   Complete   JSTOR   Business   Source   Complete   ERIC   ATLA  
  • 27. Type  of   coun+ng   mechanism   Top  5  resources,  from  highest  to  lowest   COUNTER   JSTOR   Academic   Search   Complete   OmniFile   Full  Text   Mega  (H.W.   Wilson)   Science   Direct   SAGE   Journals   Online   proxy  server   ProQuest   EBSCO   LexisNexis   JSTOR   SAGE   Journals   Online   Gimlet   Academic   Search   Complete   JSTOR   Business   Source   Complete   ERIC   ATLA  
  • 28. Future  research   !   Further  analysis  on  existing  data  set   !   Kinds  of  e-­‐resources  suggested  to  kinds  of   patrons   !   Kinds  of  reference  desk  staff  suggest   which  kinds  of  e-­‐resources   !   Expand  data  set  to  include  more  years  of  data   !   Develop  e-­‐resource  marketing  plan  and  look   at  resulting  3  kinds  of  usage  data  
  • 29. Summary   We  find  that  the  perspective  gained  from   social  network  analysis  provides  a   context-­‐aware  component  that  provides  a   fuller  picture  of  the  “use”  of  electronic   resources.    
  • 30. Contact  us   Marie  R.  Kennedy   marie.kennedy@lmu.edu   David  P.  Kennedy   davidk@rand.org   This  presentation  is  supported  by  a   Research  Incentive  Grant  from  the     William  H.  Hannon  Library  at  LMU    
  • 31. Bibliography  !  Bates,  Marcia.  1989.  The  Design  of  Browsing  and  Berrypicking  Techniques  for  the  Online  Search  Interface.  Online  Review,  13(5):  407-­‐424.   ! Borgatti,  S.P.  2002.  Netdraw  Network  Visualization.  Harvard:  Analytic  Technologies.   ! Borgatti,  S.P.,  Everett,  M.G.  and  Freeman,  L.C.  2002.  Ucinet  for  Windows:  Software  for  Social  Network  Analysis.  Harvard:  Analytic   Technologies.   ! Dervin,  Brenda.  1977.  Useful  Theory  for  Librarianship:  Communication,  Not  Information.  Drexel  Library  Quarterly,  13(3):  16-­‐32.   !  Fleming-­‐May,  R.  A.,  &  Grogg,  J.  E.  (2010a).  Assessing  Use  and  Usage:  The  Imperative  (the  concept  of  electronic  resource  usage  and  libraries).   Library  Technology  Reports,  46(6):  5–10.   ! Haythornthwaite,  Caroline.  1996.  Social  Network  Analysis:  An  Approach  and  Technique  for  the  Study  of  Information  Exchange.  LISR,  18:   323-­‐342.   ! Kulthau,  Carol.  1993.  A  Principle  of  Uncertainty  for  Information  Seeking.  Journal  of  Documentation,  49(4):  339-­‐355.   !  Luther,  J.  (2001).  White  Paper  on  Electronic  Journal  Usage  Statistics.  The  Serials  Librarian,  41(2),  119–148.   !  National  Information  Standards  Organization,  The  Standardized  Usage  Statistics  Harvesting  Initiative  (SUSHI)  Protocol,  ANSI/NISO   Z39.93-­‐2013  (Baltimore,  MD:  NISO,  2013).   !  Peters,  Thomas  A.  2002.  What’s  the  Use?  The  Value  of  E-­‐resources  Usage  Statistics.  New  Library  World,  103(1172/1173):  39-­‐47.   ! Talja,  Sanna.  2002.  Information  Sharing  in  Academic  Communities:  Types  and  Levels  of  Collaboration  in  Information  Seeking  and  Use.  New   Review  of  Information  Behaviour  Research,  3:  143-­‐160.   !  Tucker,  Cory.  2009.  Benchmarking  Usage  Statistics  in  Collection  Management  Decisions  for  Serials.  Journal  of  Electronic  Resources   Librarianship,  21:  48-­‐61.  doi:  10.1080/19411260902858581   ! Zheng,  Yanlin,  and  Yoneo  Yano.  2006.  A  framework  of  context-­‐awareness  support  for  peer  recommendation  in  the  e-­‐learning  context.  British   Journal  of  Educational  Technology,  38(2):  197-­‐210.  doi:  10.1111/j.1467-­‐8535.2006.00584.x