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Duke Network Analysis Center

Duke Network Analysis Center

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Personal Information
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Education
Website
dnac.ssri.duke.edu
About
The purpose of the Duke Network Analysis Center is to build a world-class network science & analysis program at Duke to: (a) help make visible the cutting-edge network scholarship currently ongoing on campus, (b) promote new collaborations in network science, (c) introduce new researchers to network science and train them in its methods and applications, (d) provide a research service in network analysis methods to the wider Duke community, and (e) enhance Duke’s position as a leader in the research triangle and throughout the nation in this exciting interdisciplinary field.
Tags
dnac2019 dnac2017 dnac2018 dnac2016
See more
Presentations (62)
See all
11 Keynote (2017)
5 years ago • 283 Views
01 Network Data Collection (2017)
5 years ago • 596 Views
02 Descriptive Statistics (2017)
5 years ago • 737 Views
04 Data Visualization (2017)
5 years ago • 417 Views
06 Regression with Networks – EGO Networks and Randomization (2017)
5 years ago • 619 Views
03 Communities in Networks (2017)
5 years ago • 747 Views
07 Applications of Diffusion (2017)
5 years ago • 718 Views
08 Inference for Networks – DYAD Model Overview (2017)
5 years ago • 450 Views
09 Inference for Networks – Exponential Random Graph Models (2017)
5 years ago • 1395 Views
10 Siena Models for Selection & Influence (2017)
5 years ago • 1088 Views
05 Network Canvas (2017)
5 years ago • 385 Views
01 Introduction to Networks Methods and Measures (2016)
5 years ago • 802 Views
02 Network Data Collection (2016)
5 years ago • 127 Views
03 Ego Network Analysis (2016)
5 years ago • 473 Views
04 Diffusion and Peer Influence (2016)
5 years ago • 261 Views
05 Communities in Networks (2016)
5 years ago • 271 Views
06 Network Study Design: Ethical Considerations and Safeguards (2016)
5 years ago • 209 Views
07 Statistical approaches to randomization (2016)
5 years ago • 186 Views
08 Exponential Random Graph Models (2016)
5 years ago • 750 Views
09 Respondent Driven Sampling and Network Sampling with Memory (2016)
5 years ago • 372 Views
10 More than a Pretty Picture: Visual Thinking in Network Studies (2016)
5 years ago • 279 Views
11 Network Experiments and Interventions (2016)
5 years ago • 212 Views
12 Network Experiments and Interventions: Studying Information Diffusion and Collective Action (2016)
5 years ago • 207 Views
13 An Introduction to Stochastic Actor-Oriented Models (2016)
5 years ago • 1823 Views
14 Agent-Based Models: A New Challenge for Statistics (2016)
5 years ago • 309 Views
00 Lean on my Network: Depressive Symptoms, Physical Health, and Gender in Different-Sex Older Adult Couples (2017 Fellow)
5 years ago • 951 Views
00 Examining the Dynamic Spread of Marijuana Use in a Social Network with Community Structure (2017 Fellow)
5 years ago • 434 Views
00 Using Social Network Analysis to Inform HIV Prevention and Treatment Efforts in Tanzania (2017 Fellow)
5 years ago • 482 Views
00 Partner or Perish? Public Health Delivery Systems & Cancer Screenings for the Uninsured under the ACA (2017 Fellow)
5 years ago • 453 Views
00 Introduction to SN&H: Key Concepts and Overview
4 years ago • 582 Views
  • Activity
  • About

Presentations (62)
See all
11 Keynote (2017)
5 years ago • 283 Views
01 Network Data Collection (2017)
5 years ago • 596 Views
02 Descriptive Statistics (2017)
5 years ago • 737 Views
04 Data Visualization (2017)
5 years ago • 417 Views
06 Regression with Networks – EGO Networks and Randomization (2017)
5 years ago • 619 Views
03 Communities in Networks (2017)
5 years ago • 747 Views
07 Applications of Diffusion (2017)
5 years ago • 718 Views
08 Inference for Networks – DYAD Model Overview (2017)
5 years ago • 450 Views
09 Inference for Networks – Exponential Random Graph Models (2017)
5 years ago • 1395 Views
10 Siena Models for Selection & Influence (2017)
5 years ago • 1088 Views
05 Network Canvas (2017)
5 years ago • 385 Views
01 Introduction to Networks Methods and Measures (2016)
5 years ago • 802 Views
02 Network Data Collection (2016)
5 years ago • 127 Views
03 Ego Network Analysis (2016)
5 years ago • 473 Views
04 Diffusion and Peer Influence (2016)
5 years ago • 261 Views
05 Communities in Networks (2016)
5 years ago • 271 Views
06 Network Study Design: Ethical Considerations and Safeguards (2016)
5 years ago • 209 Views
07 Statistical approaches to randomization (2016)
5 years ago • 186 Views
08 Exponential Random Graph Models (2016)
5 years ago • 750 Views
09 Respondent Driven Sampling and Network Sampling with Memory (2016)
5 years ago • 372 Views
10 More than a Pretty Picture: Visual Thinking in Network Studies (2016)
5 years ago • 279 Views
11 Network Experiments and Interventions (2016)
5 years ago • 212 Views
12 Network Experiments and Interventions: Studying Information Diffusion and Collective Action (2016)
5 years ago • 207 Views
13 An Introduction to Stochastic Actor-Oriented Models (2016)
5 years ago • 1823 Views
14 Agent-Based Models: A New Challenge for Statistics (2016)
5 years ago • 309 Views
00 Lean on my Network: Depressive Symptoms, Physical Health, and Gender in Different-Sex Older Adult Couples (2017 Fellow)
5 years ago • 951 Views
00 Examining the Dynamic Spread of Marijuana Use in a Social Network with Community Structure (2017 Fellow)
5 years ago • 434 Views
00 Using Social Network Analysis to Inform HIV Prevention and Treatment Efforts in Tanzania (2017 Fellow)
5 years ago • 482 Views
00 Partner or Perish? Public Health Delivery Systems & Cancer Screenings for the Uninsured under the ACA (2017 Fellow)
5 years ago • 453 Views
00 Introduction to SN&H: Key Concepts and Overview
4 years ago • 582 Views
Personal Information
Industry
Education
Website
dnac.ssri.duke.edu
About
The purpose of the Duke Network Analysis Center is to build a world-class network science & analysis program at Duke to: (a) help make visible the cutting-edge network scholarship currently ongoing on campus, (b) promote new collaborations in network science, (c) introduce new researchers to network science and train them in its methods and applications, (d) provide a research service in network analysis methods to the wider Duke community, and (e) enhance Duke’s position as a leader in the research triangle and throughout the nation in this exciting interdisciplinary field.
Tags
dnac2019 dnac2017 dnac2018 dnac2016
See more

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