Notes 1 Working on Walls (WoW) – an NSERC CREATE Training Program University of British Columbia...

Notes

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Working on Walls (WoW) – an NSERC CREATE Training Program

University of British ColumbiaVancouver, Canada

Social Network AnalysisDecember 2012

By C. Owen Lo & Arwa Alkhalaf

Notes

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Executive SummaryOverall Network Complexity Development

• The response rate over the course of the 2012 surveys was 96% (A survey was sent in September 2012 and 62% of the Trainees completed the survey; however due to some technical glitches, the data was not analyzable, so the survey was re-distributed in December 2012. Due to low response rate the December 2012 survey was re-sent in February 2012). All non-sabbatical WoW members responded to the survey except on PI.

• The overall WoW social network is fairly active. Among all survey respondents (n=23), a total number of 311 outgoing ties were indicated. On average, each survey participant had 13.1 outgoing ties (the range of actual outgoing ties numbered from 4 - 23).

• More people outside of the WoW context were indicated in this final survey – a difference from previous years. In total 17 participants (including 5 PIs, 3 PDFs, and 9 Trainees) listed 56 ties linked to 42 external individuals as part of their academic professional networks. As part of their professional (non-academic) networks, 13 ties linked to 12 individuals were indicated by 5 Trainees (including 3 PIs, 1 PDF, and 1 Trainee).

• The increase in external connections could be attributed to the fact that there was an international symposium organized by this project group in 2011. The connections developed, or were increased by hosting international students and scholars.

• Since many of the Trainees took part in organizing and participating in the 2011 WoW symposium, many of the external ties made then continued and were mentioned in this survey (e.g., Y. Watanabe mentioned 5 external ties to the Nara Institute of Science and Technology (NAIST) in Japan).

• There were four WoW workshops to discuss career options where new connections may have been developed.

Research-Related Supervision & Mentoring

• All of the Trainees in the survey (n=13) consulted with their designated supervisors during the time period. Seventy percent of these Trainees also indicated that they consulted with their designated co-supervisors. PDFs who participated in this survey only indicated consultation with their designated supervisors.

• Overall, WOW Trainees indicated at least two colleagues with whom they had contact for research-related issues. The average number of out-going consultation ties for the survey respondents was 5.3.

• Although the sample size was too small for a statistical test, the number of connections a Trainee has seems to correlate to a Trainee’s seniority (see Appendix E).

NotesQuestion 1: Which of the following Trainees have you had connections with in the past 6 months?

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Overall Network – A General LookDensity: 0.59, # of Ties: 311

Reciprocity = 0.56All nodes can reach another with a path shorter than two steps

This map displays the general social interactions among Trainees. In total, 311 ties were indicated by 23 WoW members (including a program manager) and 56% of these ties were indicated as reciprocal.

The network as a whole was rather coherent with a density value of 59%.

While this social map displays the internal interactions, external connections were determined by asking two other questions. In total, 42 people were identified by the Trainees as part of their academic professional network (see Appendix A) while 13 people were identified by the Trainees as part of their non-academic professional network (see Appendix B).

P = PID = PDFT = TraineeM= ManagerBlue lines = Reciprocal lines

Notes

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Overall Network – DensityDensity: 0.57, # of Ties: 274

PIs: 0.81 PDFs: 0.67 Trainees: 0.62Reciprocity: 0.55

PIs: 0.54 PDFs: 0.50 Trainees: 0.67

The existing ties account for 57% (# = 274) of the possible ties within this network. Thirty-eight percent of these existing ties are reciprocal.

As outlined, members with similar academic ranks (PIs, PDFs, Trainees) tend to have stronger affiliations to each other.

Note, the manager was removed from this map in order to better demonstrate the interaction between Researchers.

The following table demonstrates the inter- and intra-group (read as row to column) densities.

Density Tr PDF PI

Tr .62 .80 .55

PDF .31 .67 .33

PI .46 .50 .81

Question 1: Which of the following Trainees have you had connections with in the past 6 months?


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Overall Network – In-degreeRange: 4-20, Average: 12.9, SD: 3.76PIs: 13.3 PDFs: 15.7 Trainees: 12.1

Q1 In-degree table

The size of a node demonstrates the number of incoming ties that a Trainee indicated (the lareger the node, the more incoming ties.)

M. Schuetz had the highest value among all Trainees although he did not participate in the December 2012 survey. PDFs, as a group, had the highest average network.

The table below illustrates the number of Trainee’s incoming ties.

D3 20 T5 13P1 19 T9 13P2 17 T7 12T8 17 T2 12D2 16 D4 11P6 15 T3 11P3 14 T12 10T1 14 T13 9T6 14 P4 8T11 14 P5 7T10 14 T14 4

P8 13


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Overall Network – Out-DegreeRange: 4-22 Average: 13.1 SD: 5.63

PIs: 13.3 PDFs: 8 Trainees: 14.2

The size of a node displays the number of outgoing ties that a Trainee indicated.

B. Ellis (Project Leader) had the highest value in the network. Trainees as a group, had the highest average.

The table below illustrates the number of Trainee’s outgoing ties.

Q1 Out-degree table

P1 22 T6 14

T5 21 P6 13

T12 20 T11 10

T3 20 T10 10

T9 20 P5 9

T2 18 T7 9

T1 16 P4 7

P3 15 D4 6

T8 15 T14 6

P2 14 T13 5

D3 14 D2 4

Notes

Question 2: Whom do you ask for help when you have a challenging problem and/or an innovative idea in your research?

Consultation Network – Density & ReciprocityDensity: 0.19, # of Ties: 94

PIs: .47, PDFs: 0.33, Trainees: 0.08Reciprocity: 0.32

PIs: 0.48, PDFs: 0.27, Trainees: 0.31

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Tr PDF PI

Tr .08 .44 .25PDF .05 .33 .19

PI .12 .39 .47

94 ties were indicated by 22 respondents (exclude the project manager). The 13 Trainees who participated in this survey indicated 23 outgoing ties with the PIs and 17 outgoing ties with the PDFs. On average, a Trainee reported 3.4 outgoing ties to the PIs and PDFs.

The table below indicates that when PIs encounter problems, they most likely solicited information from other PIs and PDFs; PDFs mostly likely would go to other PDFs; whereas Trainees approached the PDFs.

Q2 density table

Note: Blue lines are reciprocal lines

Notes

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The size of a node indicates the number of incoming ties a Trainee received in regards to obtaining help with challenging problems.

PDFs as a group had the highest average (8.7 ties) of this measure. In the map, Trainees with more seniority tended to have more incoming ties.

Consultation Network – In DegreeRange: 0 – 11, Average: 4.1, SD: 3.58


Q2 In Degree table



D3 11 T6 3

P2 10 P4 2

P6 9 T1 2

D2 9 T13 2

P1 8 T2 2

P8 8 T3 1

D4 6 T14 0

T5 6 T7 0

P3 4 T12 0

T8 4 T11 0

T9 4 T10 0

P5 3

Notes

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The size of a node indicates the number of outgoing ties a Trainee indicated when asked to whom they consulted with challenging problems within the WoW context.

Consultation Network– Out-Degree (internal)Range: 1-9, Average: 4.3, SD: 2.59


Q2 Out-degree table (within WoW)



T6 9 T12 4

P2 8 P5 3

P1 8 P3 3

T9 8 D2 2

T3 7 T7 2

P6 6 T8 2

T5 6 T11 2

P4 5 T10 2

D3 5 D4 1

T1 5 T14 1

T13 4 T2 1

Notes

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The size of a node indicates the number of outgoing ties a Trainee indicated in regard to consulting challenging problems.

Appendix C gives more detailed information on the triangle-shaped nodes (non-Trainees) in the map.

In Appendix D, the nodes are coloured according to the primary lab in which a Trainee works.

Consultation Network – Out-degree (all)Range: 1 – 13, Average: 5.3, SD: 3.17


Q2 Out-degree table (with others)



T9 13 T13 5

T6 11 T12 5

P1 9 P3 3

P2 8 D4 3

T3 8 T14 3

P6 7 T7 3

T5 7 D2 2

P5 6 T8 2

D3 6 T11 2

P4 5 T10 2

T1 5 T2 1

Notes

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When asked to whom they made connections with from outside of the WoW group for professional academic issues, 56 ties to 42 people were named by 17 Trainees.

UPSC = Umea Plant Science Centre, Umea, Sweden

NAIST = Nara Institute of Science and Technology, Nara, Japan

MPI = Max Planck Institute of Molecular Cell Biology and Genetics

MSL = Michael Smith Laboratories, UBC, BC

UBC = University of British Columbia, Vancouver, Canada

MRU = Mount Royal University, Calgary, Alberta

IBMP CNRS = Biologie Moléculaire des Plantes, Centre national de la recherche scientifique, Strasbourg, France

UofT = University of Toronto, Toronto, Canada

UVIC = University of Victoria, Victoria, Canada

NUI = National University of Ireland, Galway

UC = University of CaliforniaCCRC = Complex Carbohydrate

Research Center, Athens, Georgia

Appendix A

Information on the professional network (academic) outside of the WoW context

Name Position NotesBjorn Sundberg Professor UPSC, Sweden

Taku Demura Professor NAIST, Japan

Kerstin Müller

John Page Uni. of Calgary

Staffan Persson MPI, Germany

Alexandra Tauzin PDF MSL, UBC

Olivier Hamant Professor U of Lyon, France

Mellissa Roach UBC PDF

Thomas Grigliatti Professor UBC

Yoshito Ogawa Doctoral Student NAIST, Japan

Jane Parker MPI, Germany

Arata Yoneda Assistant Professor NAIST, Japan

Qingning Zeng previous PhD in the lab

Faride Unda PDF, UBC

Stefan Jansson Professor Umea, Sweden

Rosie Redfield Professor UBC

Michael Friedmann Lab Manager Douglas Lab, UBC

Dr. David Bird Professor MRU, CalgaryDaniele Werck-Reichhart Research Director IBMP, StrasbourgPatrick von Aderkaas Professor UVic

Barbara Hawkins Professor UVic

Name Position NotesChris Somerville UC Berkeley

David P. Latorre Grad Student Uni. of Alberta

Yoshimi Nakano PDF NAIST, Japan

Zander Myburg Professor Uni. of Pretoria, SA

Anna Pielach PDF Galway, NUIEliana Gonzales-Vigil PDF, UBC

Lise Jouanin Versaille, INRA

Hitoshi Endo Doctoral Student NAIST, Japan

Debra Mohnen ProfessorCCRC, Uni. of Georgia

Bo Xu PDF NAIST, Japan

Hannele Tuominen Professor UPSC, Sweden

Diyana Rejab Doctoral Student NAIST, Japan

Daniel Matton Professor Uni. of Montreal

Natasha Worden Doctoral Student UC Davis

Keiko Yoshioka Professor

Marcus Samuel Professor Uni. of Calgary

Ralf Reski Professor Freiburg, Germany

Lukas Schreiber Professor Bonn, Germany

Peter Constabel Professor UVic

Nicholas Provart Professor UofT

Notes

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Appendix B

When asked to whom they made connections in the non-academic professional network outside of the WoW group, 12 people were named by 5 Trainees (research fellows only). Of note, the Program Manager named 8 other people to her non-academic professional network (not included in the table).

Information on the professional network (non-academic) outside of the WoW context

Name Position Notes

Ellie Griffith Program manager Genome BC

Ashleen Shado Research program manager Genome BC

Meilin Yi Zink Green house manager

Kris Palama Technical supportNew England Biolabs, Career Choices Workshop

Christopher Roach Grad student UBC

Min Xia Grad student UBC

Lindsay Grad student UBC

Vicky Earl Graphic designer UBC media group

Jessica Page Research Accounting UVic

Sean Myles Professor

Lead Organizer - Canadian Plant Genomics Workshop 2013, Halifax

Alison Dendoff Coordinator Genome BC

Sandy Blight Research Accounting Univ. of Victoria

Notes

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Appendix C

The table lists people with whom Trainees indicated they contacted for help with a challenging problem and/or an innovative idea in their research. 22 outgoing ties which connected to 18 non-Trainees were indicated by 13 WoW members.

UBC = University of British Columbia, Vancouver, Canada

FAFU = Fujian Agriculture and Forestry University, Fuzhou City, Japan

NAIST = Nara Institute of Science and Technology, Nara, Japan

UofT = University of Toronto, Toronto, Canada

IBMP CNRS = Biologie Moléculaire des Plantes, Centre national de la recherche scientifique, Strasbourg, France

Information on ‘others’ for Q2

Name Position Notes

Dr. Bjorn Sundberg Professor UPSC

Heather McFarlane Doctoral student UBC

Dr. Chris Ambrose Research Associate UBC

Dr. Alexandra Tauzin PDF UBC

Dr. Sylwia Wajos PDF Wasteneys lab, UBC

Dr. Minsheng You Professor FAFU, China

Dr. Arata Yoneda Assistant professor NAIST

Yuan Ruan Doctoral student Wasteneys lab, UBC

Dr. Yoshimi Nakano PDF NAIST

Dr. Taku Demura Professor NAIST

Hitoshi Endo Doctoral student NAIST

Dr. Wnzislawa Ckurshumova PDF UofT

Dr. Peter Constabel Professor UVic

Dr. Patrick von Aderkaas Professor UVic

Dr. Barbara Hawkins Professor UVic

Dr. Kevin Hodgson Microscopy technician UBC

Dr. Daniele Werck Director of a research group IBMP CNRS Strasbourg, France

Dr. Hugues Renault Professor IBMP CNRS Strasbourg, France

Notes

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Appendix E

Ego network – P1

General network Consultation network

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Appendix E

Ego network – P2


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Appendix E

Ego network – P3


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Appendix E

Ego network – P4


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Appendix E

Ego network – P5


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Appendix E

Ego network – P6


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Appendix E

Ego network – D2


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Appendix E

Ego network – D3


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Appendix E

Ego network – D4


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Appendix E

Ego network – T1


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Appendix E

Ego network – T2


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Appendix E

Ego network – T3


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Appendix E

Ego network – T5


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Appendix E

Ego network – T6


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Appendix E

Ego network – T7


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Appendix E

Ego network – T8


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Appendix E

Ego network – T9


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Appendix E

Ego network – T10


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Appendix E

Ego network – T11


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Appendix E

Ego network – T12


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Appendix E

Ego network – T13


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Appendix E

Ego network – T14


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