In this chapter Authors apply the techniques of the multilevel exponential random graph model (MERGM) to study the structural configuration of cross-level interactions within two Third Sector inter-organizational networks operating in Southern Italy. The multilevel models in the context of the proposed research, have allowed to test hypotheses on how and how much the presence of links to the lower-lever of social actors (such as organizations) depends on the links between actors at higher levels (such as those involving organizations and their activities). The results of the elaborations have led to affirm that the system of interdependencies that is created through participation in social interventions at the community level, strengthens c...
Theoretical accounts of network ties between organizations emphasize the interdependence of individu...
Exponential random graph models (ERGMs) treat the network structure as endogenous and a...
We present a dynamic multilevel framework for analyzing the mutual dependence of change in interorga...
Studies of social networks in organizations confront analytical challenges posed by the multilevel ...
Social Network Analysis is a useful technique for studying emergent behaviours of cooperation, inte...
Modern multilevel analysis, whereby outcomes of individuals within groups take into account group me...
As the network structures of work and community have grown more complex, multilevel networks have e...
This is the author accepted manuscript. The final version is available from the publisher via the DO...
Since Granovetter’s (1985) and White’s (1981, 1992) work about the interactions between ...
A key question raised in recent years is what factors determine the structure of interorganizational...
Exponentials random graph models (ERGMs) model network structure as endogenous based on the assumpti...
Theoretical accounts of network ties between organizations emphasize the interdependence of individu...
Theoretical accounts of network ties between organizations emphasize the interdependence of individu...
Exponential random graph models (ERGMs) treat the network structure as endogenous and a...
We present a dynamic multilevel framework for analyzing the mutual dependence of change in interorga...
Studies of social networks in organizations confront analytical challenges posed by the multilevel ...
Social Network Analysis is a useful technique for studying emergent behaviours of cooperation, inte...
Modern multilevel analysis, whereby outcomes of individuals within groups take into account group me...
As the network structures of work and community have grown more complex, multilevel networks have e...
This is the author accepted manuscript. The final version is available from the publisher via the DO...
Since Granovetter’s (1985) and White’s (1981, 1992) work about the interactions between ...
A key question raised in recent years is what factors determine the structure of interorganizational...
Exponentials random graph models (ERGMs) model network structure as endogenous based on the assumpti...
Theoretical accounts of network ties between organizations emphasize the interdependence of individu...
Theoretical accounts of network ties between organizations emphasize the interdependence of individu...
Exponential random graph models (ERGMs) treat the network structure as endogenous and a...
We present a dynamic multilevel framework for analyzing the mutual dependence of change in interorga...