Social Network Analysis (SNA)

Social Network Analysis (SNA)

A tool for mapping and assessing social networks

Social Network Analysis: What is it?

• Social networks are a set of nodes or individuals and links that connect them

• SNA has its roots in sociology, economics, physics and mathematics; took shape in 1930s with organizational theory

Social network analysis in practice

• Software used for performing SNA – UCINET, Netdraw and survey

instruments

• Can determine characteristics of connections – Shape – Type – Measures

How we analyze networks: shapes

How we analyze networks: types

Ego network

Bounded network

How we analyze networks: measures

Node level: Centrality

Network level: Density, Distances

Networks and our lives

Today, with social media tools and technology, we build these networks at a far accelerated rate

SNA can be used across sectors and industries

• Investigative work, uncovering crime rings

• Market segmentation, Research & development

• Epidemiology and patterns of disease transmission

• Social dynamics in

animal behavior

How NGOs and businesses can use SNA in Cambodia

• Improving internal operations

• Knowledge management

• Strength of an association or consortium

• Mapping beneficiaries and channels of information

• Fundraising and marketing activities

• Identifying customer segments as a startup

Case study: SNA in a small Cambodian org

1. Are there sustained and evolving

networks of Sarus alumni and

alumni groups?

2. Does attendance to alumni events

correlate with high connectivity?

3. Which communication channels are most effective for Sarus?

4. What opportunities exist for enhancing connectivity through alumni events?

Key Questions

• Is there data? If not, can I collect it?

• What question(s) am I trying to answer?

Benefits – Exposing patterns – Powerful visual tool – Allows for multiple levels of analysis

Drawbacks – Shouldn’t be a standalone tool, it complements other

assessments – Survey reliability – Only a snapshot in time

Should I use SNA?