Ego web qqml presentation 2016 pdf export

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From Personal to Groups: Using EgoWeb to Map the Change in Librarian Research Networks

From Personal to Groups: Using EgoWeb to Map the Change in Librarian Research Networks

David Kennedy– RAND Corporation

Marie R. Kennedy & Kristine R. Brancolini– Loyola Marymount University, USA

David Kennedy– RAND Corporation

Marie R. Kennedy & Kristine R. Brancolini– Loyola Marymount University, USA

Presentation given at the 8th Qualitative and Quantitative Methods in Libraries International Conference, May 25th, London UK

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AbstractThis presentation discusses methods for collecting, processing, analyzing and visualizing social networks using the software EgoWeb. EgoWeb is freely available, open source, web-based software that facilitates the collection of social network data through interviews. These interviews involve participants listing network contacts, responding to questions about each of the contacts, and evaluating the ties among contacts. This provides raw data for personal network analysis. Personal network data can also be aggregated to represent the extended networks of a group of people who share common network ties. The presentation will discuss considerations for each of these steps including how to use EgoWeb to best collect and process these data.

The methods and software will be illustrated with a project analyzing the personal networks of novice librarian researcher participants of the first and second years of the Institute for Research Design in Librarianship (IRDL). IRDL is designed to provide instruction in how to conduct a research project and establish a peer-network of like-minded librarians to support each other throughout the research process. The IRDL program is using personal network collected with EgoWeb to evaluate the impact of the institute on participants’ research networks. The presentation will illustrate the value, as well as challenges, of combining the personal networks of participants to assess how the research networks of IRDL participants form and evolve over time.

This presentation discusses methods for collecting, processing, analyzing and visualizing social networks using the software EgoWeb. EgoWeb is freely available, open source, web-based software that facilitates the collection of social network data through interviews. These interviews involve participants listing network contacts, responding to questions about each of the contacts, and evaluating the ties among contacts. This provides raw data for personal network analysis. Personal network data can also be aggregated to represent the extended networks of a group of people who share common network ties. The presentation will discuss considerations for each of these steps including how to use EgoWeb to best collect and process these data.

The methods and software will be illustrated with a project analyzing the personal networks of novice librarian researcher participants of the first and second years of the Institute for Research Design in Librarianship (IRDL). IRDL is designed to provide instruction in how to conduct a research project and establish a peer-network of like-minded librarians to support each other throughout the research process. The IRDL program is using personal network collected with EgoWeb to evaluate the impact of the institute on participants’ research networks. The presentation will illustrate the value, as well as challenges, of combining the personal networks of participants to assess how the research networks of IRDL participants form and evolve over time.

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Agenda

•Brief overview of IRDL - Institute for Research Design in Librarianship

– Objectives related to social networks

•Personal \ Ego-centric network data collection – EgoWeb 2.0

•Combination of personal networks into group network

•Personal and Group networks for IRDL scholars, cohort 1

•Brief overview of IRDL - Institute for Research Design in Librarianship

– Objectives related to social networks

•Personal \ Ego-centric network data collection – EgoWeb 2.0

•Combination of personal networks into group network

•Personal and Group networks for IRDL scholars, cohort 1

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Institute for Research Design in Librarianship

IMLS Laura Bush 21st Century Librarian Program, 2013-2016(RE-06-13-0060-13)

To create a learning experience and support network for academic and research librarians.

IMLS Laura Bush 21st Century Librarian Program, 2013-2016(RE-06-13-0060-13)

To create a learning experience and support network for academic and research librarians.

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IRDL Summer Workshop25 Cohort 1 Scholars, 2014

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• Mastery experience

• Social persuasion

• Mastery experience

• Social persuasion

Albert Bandura, Self Efficacy

Albert Bandura, "Perceived Self-Efficacy in Cognitive Development and Functioning,” Educational Psychologist 28, no.2 (1993): 117-48.

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How does the personal network of

a novice librarian researcher evolve on their path to becoming

a more advanced researcher?

How does the personal network of

a novice librarian researcher evolve on their path to becoming

a more advanced researcher?

Primary Research Question

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Extended Research Questions

• Is there a wider network of librarian researchers impacted by IRDL?

• Or are there just 25 separate networks?

• Are changes in the network sustained after institute has concluded?

• Is there a wider network of librarian researchers impacted by IRDL?

• Or are there just 25 separate networks?

• Are changes in the network sustained after institute has concluded?

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EgoWeb and Ego-centric network data collection

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Ego-centric Networks and Mainstream Social Science

Mainstream Social

Science

Network Analysis

Ego-centric

Networks

Surveys

Independently sampled respondents

Networks are important

Traditional Network designs are unfamiliar and impractical

Ego-centric data combines elements of both

Halgin & DeJordy 2008http://www.analytictech.com/e-net/pdwhandout.pdf

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Brief Overview: EgoCentric Data

•EgoCentric / Personal Networks – Each person (“ego”) is the center of their own network

• Each ego identifies who is in their network (“alters”)• Who these people are and how they are connected to

each other is based solely on respondents’ cognitions about the network

•EgoCentric / Personal Networks – Each person (“ego”) is the center of their own network

• Each ego identifies who is in their network (“alters”)• Who these people are and how they are connected to

each other is based solely on respondents’ cognitions about the network

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Brief Overview: EgoCentric Data

•EgoCentric / Personal Networks – Each person (“ego”) is the center of their own network

• Each ego identifies who is in their network (“alters”)• Who these people are and how they are connected to

each other is based solely on respondents’ cognitions about the network

•EgoCentric / Personal Networks – Each person (“ego”) is the center of their own network

• Each ego identifies who is in their network (“alters”)• Who these people are and how they are connected to

each other is based solely on respondents’ cognitions about the network

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Typical Survey DataTypical Survey Data

V1 V2 V3 V4

R1 1 3.4 A High

R2 0 5.0 A Low

R3 1 7.3 C Low

R4 1 8.2 B High

R5 1 5.2 A Low

.. … … .. …

Rn 0 6.1 C Medium

Challenge of Collecting EgoCentric Data

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Network Interview Data – EgoNetwork Interview Data – Ego

Alter V2 V3 V4

R1 1 1 1 1

R1 2 1 1 0

R1 3 0 1 1

R1 4 1 1 0

R2 1 0 0 1

R2 2 0 0 0

R2 3 0 0 1

R2 4 1 0 0

.. .. .. .. ..

Rn N 1 0 1

Network Interview Data – AltersNetwork Interview Data – Alters

V1 V2 V3 V4

R1 1 3.4 A High

R2 0 5.0 A Low

R3 1 7.3 B Low

R4 1 8.2 B High

R5 1 5.2 A Low

.. … … .. …

Rn 0 6.1 C Medium

Challenge of Collecting EgoCentric Data

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Network Interview Data – EgoNetwork Interview Data – Ego

Alter V2 V3 V4

R1 1 1 1 1

R1 2 1 1 0

R1 3 0 1 1

R1 4 1 1 0

R2 1 0 0 1

R2 2 0 0 0

R2 3 0 0 1

R2 4 1 0 0

.. .. .. .. ..

Rn N 1 0 1

Network Interview Data – AltersNetwork Interview Data – Alters

V1 V2 V3 V4

R1 1 3.4 A High

R2 0 5.0 A Low

R3 1 7.3 B Low

R4 1 8.2 B High

R5 1 5.2 A Low

.. … … .. …

Rn 0 6.1 C Medium

Challenge of Collecting EgoCentric Data

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Network Interview Data – EgoNetwork Interview Data – Ego

Alter V2 V3 V4

R1 1 1 1 1

R1 2 1 1 0

R1 3 0 1 1

R1 4 1 1 0

R2 1 0 0 1

R2 2 0 0 0

R2 3 0 0 1

R2 4 1 0 0

.. .. .. .. ..

Rn n 1 0 1

Network Interview Data – AltersNetwork Interview Data – Alters

V1 V2 V3 V4

R1 1 3.4 A High

R2 0 5.0 A Low

R3 1 7.3 B Low

R4 1 8.2 B High

R5 1 5.2 A Low

.. … … .. …

Rn 0 6.1 C Medium

Challenge of Collecting EgoCentric Data

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Network Interview Data – Alter pair data for one respondentNetwork Interview Data – Alter pair data for one respondent

Alter 1 2 3 4 … n

1 - 1 1 0 1

2 1 - 0 0 0

3 1 0 - 1 0

4 0 0 1 - 0

…

n 1 0 0 0 -

Challenge of Collecting EgoCentric Data

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Network Interview Data – All data for one respondentNetwork Interview Data – All data for one respondent

V1 V2 V3 V4

R1 1 3.4 A High

Alter V2 V3 V4

R1 1 3.4 A High

R1 2 5.0 A Low

R1 3 7.3 B Low

R1 4 8.2 B High

R1 5 5.2 A Low

Alter 1 2 3 4 5

1 - 1 1 0 1

2 1 - 0 0 0

3 1 1 - 1 0

4 0 0 0 - 0

5 0 1 1 1 -

AlterAlter NetworkNetwork

Challenge of Collecting EgoCentric Data

EgoEgo

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Network Interview Data – Alter pair data for six respondentsNetwork Interview Data – Alter pair data for six respondents

Alter 1 2 3 4 5

1 - 1 1 0 1

2 1 - 0 0 0

3 1 1 - 1 0

4 0 0 0 - 0

5 0 1 1 1 -

Alter 1 2 3 4 5

1 - 1 1 0 1

2 1 - 0 0 0

3 1 1 - 1 0

4 0 0 0 - 0

5 0 1 1 1 -Alter 1 2 3 4 5

1 - 1 1 0 1

2 1 - 0 0 0

3 1 1 - 1 0

4 0 0 0 - 0

5 0 1 1 1 -Alter 1 2 3 4 5

1 - 1 1 0 1

2 1 - 0 0 0

3 1 1 - 1 0

4 0 0 0 - 0

5 0 1 1 1 -

Challenge of Collecting EgoCentric Data

Alter 1 2 3 4 5

1 - 1 1 0 1

2 1 - 0 0 0

3 1 1 - 1 0

4 0 0 0 - 0

5 0 1 1 1 -Alter 1 2 3 4 5

1 - 1 1 0 1

2 1 - 0 0 0

3 1 1 - 1 0

4 0 0 0 - 0

5 0 1 1 1 -

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Software tools customized for Ego-Centric Data Collection are Key

•Reduce data collection burden– High respondent, interviewer, and programming

burden

•EgoWeb 2.0 – the goal is to reduce data collection and processing burden

– Enable non-network researchers and non-programmers to collect and analyze social network data

•Reduce data collection burden– High respondent, interviewer, and programming

burden

•EgoWeb 2.0 – the goal is to reduce data collection and processing burden

– Enable non-network researchers and non-programmers to collect and analyze social network data

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EgoWeb 2.0 User Interface

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EgoWeb 2.0: Network elicitation for IRDL scholars

“Please identify up to 40 people to whom you go to get or give advice/help related to research.”

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EgoWeb 2.0: Network composition for IRDL scholars

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EgoWeb 2.0: Network structure for IRDL scholars

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Adjust display settings

Print Network

EgoWeb 2.0: Network visualization

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IRDL Scholar Personal Network Data

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One IRDL Scholar Personal NetworksOver 4 Waves of Data Collection

Kennedy, MR, DP Kennedy, KR Brancolini (2017) The evolution of the personal networks of novice librarian researchers. Portal.

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Combining personal Networks into one, whole group network

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Combining Personal Networks = Group Cognitive Network

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• Identify unique alters across all respondents

• Combine into one network

• Identify unique alters across all respondents

• Combine into one network

Alter 1 2 3 4 … n

1 - 1 1 0 … 0

2 1 - 0 0 … 0

3 1 1 - 1 … 1

4 0 0 0 - … 1

… … … … … - …

n 0 0 1 1 1 -

Challenge of Combining Personal Networks into One Whole Network

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Combining Personal Networks = Group Cognitive Network

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Evolution of the IRDL Whole Cognitive Network

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Whole Network, Time 1

IRDL Scholars

IRDL staff

Alters

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Whole Network with research relationships (red), Time 1

IRDL Scholars

IRDL staff

Alters

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Whole Network, Time 2

IRDL Scholars

IRDL staff

Alters

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Whole Network with research relationships (red), Time 2

IRDL Scholars

IRDL staff

Alters

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Whole Network, Time 3

IRDL Scholars

IRDL staff

Alters

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Whole Network with research relationships (red), Time 3

IRDL Scholars

IRDL staff

Alters

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Whole Network, Time 4

IRDL Scholars

IRDL staff

Alters

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Whole Network with research relationships (red), Time 4

IRDL Scholars

IRDL staff

Alters

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Combining Personal Networks = Group Cognitive Network

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Egoweb 2.0 Resources

•Downloading– https://github.com/qualintitative/egoweb

•Documentation– egoweb.info– www.rand.org/methods/egoweb

•Questions and Discussion– Yammer: www.yammer.com/egoweb, – Facebook group: https://www.facebook.com/groups/egoweb2.0– Twitter: @egoweb2_0– egoweb@rand.org, davidk@rand.org

•Downloading– https://github.com/qualintitative/egoweb

•Documentation– egoweb.info– www.rand.org/methods/egoweb

•Questions and Discussion– Yammer: www.yammer.com/egoweb, – Facebook group: https://www.facebook.com/groups/egoweb2.0– Twitter: @egoweb2_0– egoweb@rand.org, davidk@rand.org