Social network analysis design and implementation worksheet
Define network boundaries, who is a node, and tie types, which edges are measured, first. These underlie the entire analysis.
Social network analysis design and implementation worksheet
Basic information
Define the analytical framework.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- Program and evaluation issue
- Community consultation coordination
- Nodes, such as city parenting support organizations
- 4 organizations A, B, C and D (fictional)
- Edge types: information sharing / joint programs / funding
- Referral relationship confirmed by both parties during the period
- Network boundaries and rationale
- Organizations attending the same consultation coordination meeting
- Analyst and implementation period
- Staff member A / April–June 2026 (fictional)
Reason for this entry: Do not claim coverage of all local organizations.
Writing tips and explanation for this section
About this section
Define the analytical framework.
Do not claim coverage of all local organizations.
View the method explanationWriting tips
Follow each field’s heading to record the program name, focus, period, and other details. Leave undecided matters clearly marked as unresolved.
Read the full fictional exampleRelationship data collection design
Design survey and collection details.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Collection method: survey / documents / observation | Target node count | Target response rate (%) | Tie direction: directed / undirected | Tie strength measurement: presence / absence or scale |
|---|---|---|---|---|
| Referral records and organizational confirmation | 4 | Target 100%; record non-response separately. | Undirected: both parties confirm referral in either direction | Presence within the period |
Reason for this entry: Specify how directed referrals become undirected ties.
Scroll horizontally to view the table
| Collection method: survey / documents / observation | Target node count | Target response rate (%) | Tie direction: directed / undirected | Tie strength measurement: presence / absence or scale |
|---|---|---|---|---|
Writing tips and explanation for this section
About this section
Design survey and collection details.
Specify how directed referrals become undirected ties.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleNetwork indicator plan
Link planned indicators to evaluation questions.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Indicator: density / centrality, etc. | Link to evaluation question | Target or comparison standard | Calculation tool |
|---|---|---|---|
| Density | Breadth of connections within scope | Fictional value 0.5; no universal target | Calculate from the verified adjacency matrix. |
Reason for this entry: Do not automatically translate indicator values into quality judgments.
Scroll horizontally to view the table
| Indicator: density / centrality, etc. | Link to evaluation question | Target or comparison standard | Calculation tool |
|---|---|---|---|
Writing tips and explanation for this section
About this section
Link planned indicators to evaluation questions.
Do not automatically translate indicator values into quality judgments.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleVisualization plan
Design the network diagram.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Reason for this entry: Structure can identify organizations even under pseudonyms.
Writing tips and explanation for this section
About this section
Design the network diagram.
Structure can identify organizations even under pseudonyms.
View the method explanationWriting tips
Use the example as a reference and record what you have established about your own program. Distinguish assumptions and unchecked matters from confirmed facts.
Read the full fictional exampleCompletion check
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- ☑ Checked: Documented nodes and boundaries
- ☑ Checked: Specified edge types and direction
- ☑ Checked: Reported response rate and missing-node impacts
- ☑ Checked: Added interpretation to diagrams
- ☐ Not checked: Interpreted indicator changes against questions
- ☐ Not checked: Identified isolates and implications for intervention
Reason for this entry: A single-time illustration without change analysis. Absence of isolates here does not prove absence of isolation across the community.
Writing tips and explanation for this section
About this section
A single-time illustration without change analysis. Absence of isolates here does not prove absence of isolation across the community.
View the method explanationWriting tips
Read each item and check those you have confirmed. Do not use the fictional example’s checkbox states as findings about your own program.
Read the full fictional exampleBefore writing, check when to use the worksheet and what completion involves
Social network analysis design and implementation worksheet is a worksheet for applying Social Network Analysis in meetings or individual work. For the overall duration of the method, use “Planning example, not a universal standard duration: 2 weeks–2 months for survey design, collection, analysis and visualization” as a reference, adjusting for scale and resources. Fill in what you know provisionally and leave unresolved matters as questions to check next.
When this worksheet is useful
- When visualizing and measuring stakeholder connections in programs strengthening collaboration
- When identifying overall structure and key connectors in collective impact or multi-agency programs
- When information, resources or support concentrate in certain organizations and bottlenecks need identifying
Participants and preparation
Data collectors, analysts and participants. Check boundaries, tie definitions, sharing scope and consent; report effects of remaining missingness.
Bring the materials used for decisions, existing data, and differing stakeholder views to help complete the worksheet.
Suggested order
- 1. Basic informationDefine the analytical framework.
- 2. Relationship data collection designDesign survey and collection details.
- 3. Network indicator planLink planned indicators to evaluation questions.
- 4. Visualization planDesign the network diagram.
- 5. Completion check
Signs the worksheet is ready for review
- Network diagram of centrality and edge weights
- Network indicators: density, average distance and node centrality
- Pre/post report interpreting intervention-related structural changes
Cautions for review
- Producing diagrams without interpretation. Attractive visualization is a starting point, not the final output. Always explain how density or centrality changes relate to questions.
- Do not code non-respondents' ties as absent. Check concentrated missingness, boundaries and collection coverage. Do not judge whole-network credibility solely by a universal response threshold.
- Assuming denser is better. Closed clusters can trap information; weak ties may matter for external information exchange.
Read a completed fictional example (your entries will not change)
A fictional illustrative network of 4 organizations, with 1 undirected edge for a mutually confirmed referral relationship during the period.
Basic information
- Program and evaluation issue
- Community consultation coordination
- Nodes, such as city parenting support organizations
- 4 organizations A, B, C and D (fictional)
- Edge types: information sharing / joint programs / funding
- Referral relationship confirmed by both parties during the period
- Network boundaries and rationale
- Organizations attending the same consultation coordination meeting
- Analyst and implementation period
- Staff member A / April–June 2026 (fictional)
Reason for this entry: Do not claim coverage of all local organizations.
Relationship data collection design
Scroll horizontally to view the table
| Collection method: survey / documents / observation | Target node count | Target response rate (%) | Tie direction: directed / undirected | Tie strength measurement: presence / absence or scale |
|---|---|---|---|---|
| Referral records and organizational confirmation | 4 | Target 100%; record non-response separately. | Undirected: both parties confirm referral in either direction | Presence within the period |
Reason for this entry: Specify how directed referrals become undirected ties.
Network indicator plan
Scroll horizontally to view the table
| Indicator: density / centrality, etc. | Link to evaluation question | Target or comparison standard | Calculation tool |
|---|---|---|---|
| Density | Breadth of connections within scope | Fictional value 0.5; no universal target | Calculate from the verified adjacency matrix. |
Reason for this entry: Do not automatically translate indicator values into quality judgments.
Visualization plan
Reason for this entry: Structure can identify organizations even under pseudonyms.
Completion check
- ☑ Checked: Documented nodes and boundaries
- ☑ Checked: Specified edge types and direction
- ☑ Checked: Reported response rate and missing-node impacts
- ☑ Checked: Added interpretation to diagrams
- ☐ Not checked: Interpreted indicator changes against questions
- ☐ Not checked: Identified isolates and implications for intervention
Reason for this entry: A single-time illustration without change analysis. Absence of isolates here does not prove absence of isolation across the community.
Common errors in judgment
Judging non-responding organizations isolated
How to revise: Distinguish unobserved ties from absent ties.
Reason: Missingness may simply hide edges.
Combining referral, funding and information ties
How to revise: Record relationship types separately.
Reason: Combining different functions into one density prevents interpretation.
References and checked sections
- Social Network AnalysisOlivier Serrat/Asian Development Bank · 2009
- Section consulted
- Social Network Analysis
- How it relates to the text
- Tie definitions and analytical boundaries determine indicator meanings because the method measures relationship structures.
How to cite this page
Change history
- — Checked sources for definitions and applicability conditions, and added fictional examples, reasons for judgments and examples for every worksheet field. Revised unverified claims about history and adoption. Also reviewed existing procedures and cautions, and adjusted fixed participant counts and thresholds and generalizations about institutions.


