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“At the School of OpenCohesion”
as a case of
Open Government Data ecosystem
Luigi Reggi
14th European Evaluation Society Biennial
Conference
6-10 June 2022, Copenhagen, Denmark
luigireggi.eu
Open Government Data ecosystems:
Actors, roles and relations
Research questions
1) What types of actors are more likely
to develop connections with other
actors in an OGD ecosystem?
2) Do actors' locations influence the
probability of developing
connections?
Methods
• Analyis of 35,218 tweets using the hashtags
#ASOCxxxx during 5 consecutive editions of the
ASOC program from 2015 to 2020
• 4,353 connections and 1,053 actors were
selected and classified by Type and Location
• A connection is formed between two actors when a
shared activity is documented in the selected tweets
by looking at the content of the Twitter conversation.
• ERGM Network Analysis technique is employed to
estimate the likelihood that two actors would
develop a connection
Relations with documented shared activities
TYPE OF ACTOR
Relations with documented shared activities
LOCATION
Results from the model: Type of actor
Governments
as Policy makers
NGOs as OGD users
and intermediaries
Local communities
as OGD users
(Students)
ASOC OGD ecosystem
Governments
as OGD providers
Governments
as intermediary
(EDIC)
Media as OGD users
and intermediaries
-1.14***
0.46***
0.43***
0.75***
0.41***
0.24**
0.91***
-1.05***
New connections from empirical analysis
Connections from the literature with statistically significant coefficients
-0.84**
-0.78**
0.78***
-0.36*
-0.64**
-0.31*
*** p< 0.01; ** p<0.05; * p<0.10. Baseline: “Other” Type category. Thickness of the arrows is proportional to model coefficients.
“At the School of OpenCohesion” as a case of Open Government Data ecosystem

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“At the School of OpenCohesion” as a case of Open Government Data ecosystem

  • 1. “At the School of OpenCohesion” as a case of Open Government Data ecosystem Luigi Reggi 14th European Evaluation Society Biennial Conference 6-10 June 2022, Copenhagen, Denmark luigireggi.eu
  • 2.
  • 3. Open Government Data ecosystems: Actors, roles and relations
  • 4. Research questions 1) What types of actors are more likely to develop connections with other actors in an OGD ecosystem? 2) Do actors' locations influence the probability of developing connections?
  • 5. Methods • Analyis of 35,218 tweets using the hashtags #ASOCxxxx during 5 consecutive editions of the ASOC program from 2015 to 2020 • 4,353 connections and 1,053 actors were selected and classified by Type and Location • A connection is formed between two actors when a shared activity is documented in the selected tweets by looking at the content of the Twitter conversation. • ERGM Network Analysis technique is employed to estimate the likelihood that two actors would develop a connection
  • 6. Relations with documented shared activities TYPE OF ACTOR
  • 7. Relations with documented shared activities LOCATION
  • 8. Results from the model: Type of actor Governments as Policy makers NGOs as OGD users and intermediaries Local communities as OGD users (Students) ASOC OGD ecosystem Governments as OGD providers Governments as intermediary (EDIC) Media as OGD users and intermediaries -1.14*** 0.46*** 0.43*** 0.75*** 0.41*** 0.24** 0.91*** -1.05*** New connections from empirical analysis Connections from the literature with statistically significant coefficients -0.84** -0.78** 0.78*** -0.36* -0.64** -0.31* *** p< 0.01; ** p<0.05; * p<0.10. Baseline: “Other” Type category. Thickness of the arrows is proportional to model coefficients.