Fixed bug with abstract seed selectors

network_diffusion/__init__.py

@@ -27,4 +27,4 @@
 from network_diffusion.mln.mlnetwork import MultilayerNetwork
 from network_diffusion.multi_spreading import MultiSpreading
 
-__version__ = "0.10.0"
+__version__ = "0.10.1"

network_diffusion/seeding/betweenness_selector.py

@@ -1,6 +1,8 @@
 """A definition of the seed selector based on betweenness centrality."""
 
-from typing import List
+from typing import Any, List
+
+import networkx as nx
 
 from network_diffusion.mln.actor import MLNetworkActor
 from network_diffusion.mln.functions import betweenness
@@ -19,6 +21,13 @@ def __str__(self) -> str:
             f"\tbetweenness centrality choice\n{BOLD_UNDERLINE}\n"
         )
 
+    @staticmethod
+    def _calculate_ranking_list(graph: nx.Graph) -> List[Any]:
+        """Create nodewise ranking."""
+        raise NotImplementedError(
+            "Nodewise ranking list cannot be computed for this class!"
+        )
+
     def actorwise(self, net: MultilayerNetwork) -> List[MLNetworkActor]:
         """Get ranking for actors using betweenness centrality metric."""
         ranking_list: List[MLNetworkActor] = []

network_diffusion/seeding/closeness_selector.py

@@ -18,7 +18,9 @@
 
 """A definition of the seed selector based on closeness centrality."""
 
-from typing import List
+from typing import Any, List
+
+import networkx as nx
 
 from network_diffusion.mln.actor import MLNetworkActor
 from network_diffusion.mln.functions import closeness
@@ -37,6 +39,13 @@ def __str__(self) -> str:
             f"\tcloseness centrality choice\n{BOLD_UNDERLINE}\n"
         )
 
+    @staticmethod
+    def _calculate_ranking_list(graph: nx.Graph) -> List[Any]:
+        """Create nodewise ranking."""
+        raise NotImplementedError(
+            "Nodewise ranking list cannot be computed for this class!"
+        )
+
     def actorwise(self, net: MultilayerNetwork) -> List[MLNetworkActor]:
         """Get ranking for actors using closeness centrality metric."""
         ranking_list: List[MLNetworkActor] = []

network_diffusion/seeding/katz_selector.py

@@ -18,7 +18,9 @@
 
 """A definition of the seed selector based on Katz centrality."""
 
-from typing import List
+from typing import Any, List
+
+import networkx as nx
 
 from network_diffusion.mln.actor import MLNetworkActor
 from network_diffusion.mln.functions import katz
@@ -37,6 +39,13 @@ def __str__(self) -> str:
             f"\tkatz centrality choice\n{BOLD_UNDERLINE}\n"
         )
 
+    @staticmethod
+    def _calculate_ranking_list(graph: nx.Graph) -> List[Any]:
+        """Create nodewise ranking."""
+        raise NotImplementedError(
+            "Nodewise ranking list cannot be computed for this class!"
+        )
+
     def actorwise(self, net: MultilayerNetwork) -> List[MLNetworkActor]:
         """Get ranking for actors using Katz centrality metric."""
         ranking_list: List[MLNetworkActor] = []