[Subtask] Unify node and edge filtering into a single filtering system

[oxy86]

Overview

SocNetV currently provides multiple independent filtering mechanisms:

• node filtering by centrality
• edge filtering by weight

These are implemented as separate dialogs and workflows.

This subtask aims to unify them into a coherent filtering system that supports:

• combined filters
• consistent behavior
• reuse across future features

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Current State

• Node filtering (centrality-based) exists ([Subtask] Unify and extend existing node filtering by structural metrics #216)
• Edge filtering (weight-based) exists
• Each operates independently
• No way to combine filters (e.g. node + edge + attributes)

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Goals

• Provide a unified filtering model for:
  • nodes
  • edges
• Allow combining multiple filters
• Ensure consistent behavior across all filtering operations

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Scope

Phase 1 — Integration

• Refactor existing filtering logic:
  • node filtering
  • edge filtering
• Ensure both use a shared visibility mechanism

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Phase 2 — Combined Filters

Support combinations such as:

• node centrality filter + edge weight filter
• attribute filter + structural filter

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Phase 3 — Logical Composition

Introduce:

• AND / OR conditions
• Sequential filter application

Example:

(type = "investor") AND (degree > 5)

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UI Suggestions

• Move away from isolated dialogs toward:
  • a unified "Filter Panel"
  • or a filter builder dialog

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Implementation Notes

• Reuse:
  • setNodeVisibility(...)
  • setEdgeVisibility(...)
• Avoid duplicating filtering logic across dialogs
• Prepare for future query system ([Feature] Graph filtering, querying & subgraph extraction #215 Phase 4)

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Dependencies

• [Subtask] Unify and extend existing node filtering by structural metrics #216 Structural filtering (nodes)
• [Subtask] Filter nodes and edges by attributes (metadata-based filtering) #217 Attribute filtering
• Existing edge filtering dialog

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Edge Cases

• Conflicting filters
• Filter reset behavior
• Performance on large graphs

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Relation to Feature

Part of:
#215 Graph filtering, querying & subgraph extraction