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2.3. Order 02 Analysis
2.3.1. Valued position matrix (2MAO)
The „Data/Matrix of Actors, and Objectives (2MAO)‟ gives access to the 2MAO matrix. The
rows, and columns of this matrix contain the name of those actors taking part in the study at
hand. This matrix is the initial information input into the software, and it is equally presented as
a result of the MACTOR study, to identify marginalities. As explained earlier, the 2MAO matrix
specifies the actor's position on each objective (pro, against, neutral or indifferent).
2.3.2. Convergence:
The valued convergence matrix or Valued Convergence Actors X Actors (2CAA) is related to
the Matrix of valued positions Actors X Objectives (2MAO). This calculates the average
convergence intensity between two actors, when these have the same degree (pro or against the
objective). The values in this matrix do not measure the number of potential alliances (as in
1CAA), but the alliance intensity with the objectives hierarchy (preferences) of the couple of
actors. This is a symmetrical matrix.
2.3.2.1. Graph of order 2 convergences between actors
The graph of convergences between actors maps the actors with respect to their convergences
(data in matrices 2CAA). The nodes in the graph represent the defined actors, and the links the
relationships expressed in the mentioned matrices.
2.3.3. Divrgence
The Matrix of valued divergences or valued Divergences Actors X Actors (2DAA) is related to
the Matrix of valued positions Actors X Objectives (2MAO). It identifies for each couple of
actors the number of objectives for which these actors do not hold the same position (one actor is
pro the objective, and the other is against it). The values in this matrix do not measure the
number of potential conflicts, but rather the conflict intensity with the objectives hierarchy
(preferences) of the couple of actors. This is a symmetrical matrix.
2.3.3.1. Graph of order 2 divergences between actors
The graph of divergences between actors, maps the actors of order 2 with respect to their
divergences (data in matrices 2DAA). It helps to identify potential alliances, and conflicts. These
graphs represent the extent, or intensity, of the divergence of actors with respect to objectives.
The nodes in the graph represent the defined actors, and the links the relationships expressed in
the mentioned matrices.
the rest of the stakeholders to discuss the problematic in a participatory integrated vision. Not
having power over the systems does not exclude actors from having a key role, if not
considered, these actors could slow down the achievement of goals, and form obstacles to the
evolution of the systems.
2.3. Order 02 Analysis
2.3.1. Valued position matrix (2MAO)
The „Data/Matrix of Actors, and Objectives (2MAO)‟ gives access to the 2MAO matrix. The
rows, and columns of this matrix contain the name of those actors taking part in the study at
hand. This matrix is the initial information input into the software, and it is equally presented as
a result of the MACTOR study, to identify marginalities. As explained earlier, the 2MAO matrix
specifies the actor's position on each objective (pro, against, neutral or indifferent).
2.3.2. Convergence:
The valued convergence matrix or Valued Convergence Actors X Actors (2CAA) is related to
the Matrix of valued positions Actors X Objectives (2MAO). This calculates the average
convergence intensity between two actors, when these have the same degree (pro or against the
objective). The values in this matrix do not measure the number of potential alliances (as in
1CAA), but the alliance intensity with the objectives hierarchy (preferences) of the couple of
actors. This is a symmetrical matrix.
2.3.2.1. Graph of order 2 convergences between actors
The graph of convergences between actors maps the actors with respect to their convergences
(data in matrices 2CAA). The nodes in the graph represent the defined actors, and the links the
relationships expressed in the mentioned matrices.
2.3.3. Divrgence
The Matrix of valued divergences or valued Divergences Actors X Actors (2DAA) is related to
the Matrix of valued positions Actors X Objectives (2MAO). It identifies for each couple of
actors the number of objectives for which these actors do not hold the same position (one actor is
pro the objective, and the other is against it). The values in this matrix do not measure the
number of potential conflicts, but rather the conflict intensity with the objectives hierarchy
(preferences) of the couple of actors. This is a symmetrical matrix.
2.3.3.1. Graph of order 2 divergences between actors
The graph of divergences between actors, maps the actors of order 2 with respect to their
divergences (data in matrices 2DAA). It helps to identify potential alliances, and conflicts. These
graphs represent the extent, or intensity, of the divergence of actors with respect to objectives.
The nodes in the graph represent the defined actors, and the links the relationships expressed in
the mentioned matrices.
the rest of the stakeholders to discuss the problematic in a participatory integrated vision. Not
having power over the systems does not exclude actors from having a key role, if not
considered, these actors could slow down the achievement of goals, and form obstacles to the
evolution of the systems.