Ethiopia endline social network analysis

English
Display title
Ethiopia endline social network analysis
Strapline
Ethiopia social network analysis
Node read time
2 minutes
Resource type
Listing introduction text
Social network analysis of learning alliances among water, sanitation and hygiene actors in four Ethiopian locations, showing collaboration trends and lessons.
Page introduction
Social network analysis of learning alliances among water, sanitation and hygiene actors in four Ethiopian locations, showing collaboration trends and lessons.
Member
Location
External authors
Author role
Primary Author
External author

Craig Hempfling

External author/speaker first name
Craig
External author/speaker surname
Hempfling
External organisation name
LINC
Author role
Secondary Author
External author

Boris Ristovsky

External author/speaker first name
Boris
External author/speaker surname
Ristovsky
External organisation name
LINC
Author role
Tertiary Author
External author

Rich Fromer

External author/speaker first name
Rich
External author/speaker surname
Fromer
External organisation name
LINC
Publisher
Sustainable WASH Systems Learning Partnership
USAID
Page sections
content
USAID Sustainable WASH Systems Learning Partnership (SWS) conducted a social network analysis (SNA) to better understand the relationships and changes over time among water, sanitation, and hygiene (WASH) actors in the four locations in Ethiopia where SWS is operating — two small towns focused on sanitation services and two rural woredas (districts) focused on water supply. In each location, SWS is facilitating a learning alliance comprising relevant stakeholders from government, private sector, civil society, and academic institutions to improve efficiency, effectiveness, and sustainability of local WASH services through increased collaboration and sharing. Following a baseline and midterm SNA, this endline SNA is the last of three conducted over the life of the SWS project, which allows changes to be observed in each network over the course of SWS’s activities. By analyzing SNA data and trends over time, SWS quantified learning alliance dynamics to observe differences and commonalities among members based on their services, sectors, and relationships. Through this research, SWS found that all the learning alliances continue functioning at generally healthy — albeit varying — levels of interaction, particularly when considering the COVID-19 challenges of 2020. Descriptions of each of the four SWS Ethiopia learning alliances are included along with links to interactive maps that allow users to “filter” actors and relationships to visualize and analyze sub-networks.
Title
Ethiopia endline social network analysis
Downloadable documents
Year
2021