Concept

A Spatial Representation of Human Relationship Networks

Relationships define the structure.
Geometry reveals it.

Family Circles is a method for representing family relationships as an interactive three-dimensional structure.

The central idea is simple. A group of siblings is represented as a circle. At the center of that circle, a connection leads to the family of the siblings' parents. The same structure can continue through successive generations, creating a connected network of family circles.

This representation is intended to make relationships visible in a way that traditional family trees and static diagrams often cannot. Instead of forcing a complex family structure into a single two-dimensional hierarchy, Family Circles provides a spatial model that can be explored from different directions and at different scales.

The underlying information is represented as structured data describing Person and Family objects and the relationships between them. That information is transformed into a map of relationships, then into a three-dimensional model that can be explored interactively.

The concept is not limited to one particular genealogy. The same approach can be applied to historical families, royal dynasties, political families, fictional worlds, and other relationship datasets that can be expressed using the same fundamental structure.

Family Circles proposes that they can. By separating relationship data from its visual representation, the system can transform people and families into a connected relationship map, generate a three-dimensional spatial model, and allow that model to be explored interactively.

Family relationships are often represented as trees, charts, lists, or diagrams. These representations work well when the structure is relatively small and simple, but become increasingly difficult to interpret as the number of people and relationships grows.

A family tree normally begins with a single person or couple and expands outward through parents, children, and successive generations. This provides a familiar and useful way to understand ancestry, but it also imposes a particular visual structure on the information.

The difficulty is that families are not naturally two-dimensional trees. People belong to families, and the same person can participate in multiple family relationships over the course of their life. A person can be a child in one family while also becoming a parent in another.

As these relationships accumulate, the resulting structure becomes a network rather than a simple hierarchy.

Family Circles began as an attempt to explore whether a different geometric representation could make these relationships easier to see. Instead of starting with a traditional tree and attempting to add more information to it, the Family Circles approach starts with the sibling group itself.

The children of a family are arranged around a circle. The parents are connected through the center of that circle, and the same pattern continues into the generations above and below.

This creates a visual structure in which family relationships are represented spatially rather than solely as lines in a two-dimensional chart.

The goal is not to replace every existing genealogy representation. Rather, Family Circles explores another way of thinking about relationship data: one in which the structure can be generated from data and then explored as an interactive model.

Representing family relationships appears simple until the number of people and generations begins to grow. A small family can be shown clearly in many different ways. A large and interconnected family network is considerably more difficult.

The problem is not simply the amount of information. The deeper problem is how to preserve the relationships between people while presenting enough context for those relationships to remain understandable.

Traditional Trees Imply a Hierarchy

A conventional family tree is naturally read from one direction. Ancestors appear above, descendants appear below, and generations are arranged along roughly parallel levels.

This is effective for many genealogical questions, particularly when following a direct line of ancestry. However, it can become restrictive when the goal is to understand the larger network of relationships.

A person does not exist only as a descendant. The same person may be a sibling, a spouse, a parent, and a member of several connected family groups. A strictly hierarchical tree can make these multiple roles difficult to see simultaneously.

Large Structures Become Visually Dense

As more people and generations are added, conventional diagrams accumulate lines, labels, and branches.

Connections begin to cross. Text becomes smaller. Branches must be compressed or spread farther apart. Eventually the diagram may contain all of the correct information while becoming increasingly difficult for a person to understand.

Static Images Provide Only One View

A static diagram represents one selected arrangement from one selected viewpoint.

The author must decide in advance what should be visible, how much detail should be shown, and how the structure should be arranged on the page.

This can be effective for a specific purpose, but it becomes limiting when the viewer wants to ask a different question or examine another part of the relationship network.

The Structure Is Larger Than the View

A large family network may contain more relationships than can be comfortably displayed at one time.

The challenge is therefore not simply to create a larger diagram. It is to provide a representation in which a person can move between detail and context, examining a local relationship while retaining an understanding of where it belongs within the larger structure.

The Central Problem

Family Circles approaches this problem by separating the relationship structure from the visual representation of that structure.

Instead of treating a family diagram as a fixed drawing, the relationships are represented as data. The data can then be mapped into a spatial structure and rendered as an interactive model.

Family Circles begins with a simple observation: siblings naturally form a group, and that group has a relationship to the family of their parents.

The children of a family are represented as a circle. At the center of that circle, a connection leads to the mother and father, who are themselves members of another sibling circle.

The same pattern can continue in both directions through successive generations.

This creates a structure in which family relationships are represented as a series of connected circles rather than as a single branching tree.

The Sibling Circle

The sibling circle is the fundamental visual unit of the Family Circles concept.

Each child belongs to a family and is positioned as part of the sibling group created by that family. The circle represents the shared relationship between the siblings while also providing a visual boundary around the group.

The family name belongs to the Family rather than to the individual Person. The Person represents the individual and carries the person's given name, while the Family provides the context in which the sibling group is represented.

Connecting Generations

The parents of a sibling group are themselves children of another family. Their connection to their own sibling circle creates a bridge between generations.

This pattern can continue indefinitely. A person's position in one sibling circle does not prevent that same person from becoming a parent in another family.

The result is a network of connected family circles that can extend across many generations.

A Different Way to Think About Family Structure

The Family Circles concept does not attempt to eliminate the familiar genealogical tree. Instead, it provides another perspective on the same relationships.

The tree emphasizes descent and ancestry. Family Circles emphasizes the individual family units and the connections between them.

This distinction becomes increasingly important as the structure grows. The viewer can focus on one sibling group while still seeing how that group connects to the generations around it.

The concept therefore shifts the emphasis from drawing a family tree to constructing a connected spatial model of family relationships.

The Family Circles model is designed to be seen and explored. The underlying data describes people and their relationships, but the visualization gives those relationships a spatial form that can be examined from different directions and at different levels of detail.

The following examples use the interactive viewer that is used throughout Family Circles. Each model is generated from a JSON data file. The examples begin with the simplest possible structures and progressively add relationships and generations.

Person

The most basic object in the Family Circles model is a Person. A person is represented as an individual in the model. The person's given name identifies the individual, while additional information such as an image or a link to an external page can optionally be associated with that person.

A Person by itself does not define a family structure. It becomes part of the larger model when it is connected to one or more Family objects.

A Sibling Circle

The central visual element of Family Circles is the sibling circle. A sibling circle represents a group of children who share the same parents.

The circle contains the siblings themselves. The parents are not part of the sibling circle; they are introduced when the sibling circle is connected to its Family.

This distinction is important to the Family Circles concept. The sibling circle is the visual representation of the sibling group, while the Family defines the relationship between that sibling group and its parents.

A Family

A Family connects parents with their children. In the Family Circles visualization, the parents are connected through the center of the sibling circle containing their children.

The sibling circle therefore represents the children, while the Family establishes the relationship between those children and their parents.

Multiple Generations

Once a person who belongs to one sibling circle becomes a parent in another family, the two family structures become connected. The same process can continue through successive generations.

A person can therefore be a child in one Family and a parent in another. Their children can then become parents in still other Family objects. The resulting structure can extend naturally across many generations.

The important feature of this representation is that the underlying data does not need to contain coordinates describing where each person should appear. The spatial arrangement is calculated from the relationships in the data.

A Larger Family Network

As more people and relationships are added, the structure begins to look less like a traditional tree and more like a network.

A person can belong to the family in which they were born while also becoming a parent in another family. Their children may then become parents in still other families. Sibling groups, generations, and family connections can therefore extend in multiple directions.

This example is intentionally larger than the preceding models. It illustrates how individual family circles become connected into a larger structure.

At this scale, the three-dimensional representation begins to provide an important advantage. The viewer is not limited to a single fixed two- dimensional arrangement. The model can be rotated and explored from different viewpoints, allowing relationships to be examined while maintaining a sense of the larger structure.

The examples in this section show the progression from an individual person, to a sibling circle, to a family, to connected families across generations, and finally to a larger relationship network.

The visual structures shown in Family Circles begin with structured data. The data model provides the foundation from which the relationship map and eventual three-dimensional model are created.

The model is intentionally centered around two fundamental objects: Person and Family.

Person

A Person represents an individual within the relationship network.

At its simplest, a Person has a given name and an identifier that allows the individual to be referenced by other objects in the model.

The Person object is deliberately separate from the Family object. A person does not inherently contain their family name or a fixed position in the visualization. The person exists as an individual who can participate in one or more family relationships.

Additional values may be associated with a Person when an application requires them. These values can provide information such as images, external links, or other application-specific data without changing the fundamental relationship model.

Family

A Family represents the relationship structure connecting parents and children.

The Family provides the family name associated with the sibling circle and identifies the people who participate in that family relationship.

The Family object is therefore the mechanism through which individual Person objects become connected.

People and Families Are Different Things

One of the important distinctions in the model is that a Person and a Family are not interchangeable concepts.

This distinction allows the same person to participate in multiple Family objects. A person may belong to one family as a child and later belong to another family as a parent.

This is what allows the data model to represent a network that extends across generations rather than forcing every person into a single hierarchical tree.

Relationships Are the Structure

The data model does not need to store a fixed drawing of the family.

It defines the people and the relationships between them. The arrangement of those relationships in space is determined later by the model-generation process.

This separation is important because it means that the data remains independent of a particular visual arrangement.

The same underlying relationship data can therefore be used to generate different spatial models or to support applications that do not use the three-dimensional viewer at all.

From Data to Relationships

The Person and Family objects provide the information from which the relationship structure can be established.

The important distinction is that the data describes what exists and how people are related. It does not need to contain a fixed drawing or predetermined spatial coordinates.

How those relationships are transformed into a spatial representation is addressed in the Architecture section.

The architecture of Family Circles can be understood as a four-stage process: Data → Map → Model → Interaction.

Each stage has a distinct purpose. The data identifies the people and families being represented. The Map establishes the relationships between them. The Model transforms those relationships into a spatial representation. The interactive viewer then allows a person to explore that representation.

This separation is central to the design of Family Circles. The information being represented is not itself a drawing, and the drawing is not the relationship structure. Each stage builds upon the information and relationships established by the stage before it while preserving the meaning of those relationships.

The Family Circles Architecture

Data

The process begins with structured data describing the people and families being represented.

The two fundamental objects in the Family Circles model are Person and Family. A Person represents an individual. A Family represents the family relationship that connects parents and children and establishes a sibling circle.

Additional values may be associated with these objects when an application requires them. These values can provide information such as images, external links, identifiers, or other application-specific data without changing the fundamental relationship model.

The essential data, however, is simple: people and families.

Map

The next stage transforms the individual data objects into a map of their relationships.

The Map describes the logical structure of the network. It establishes which people belong to which families, which people are parents, which people are children, and how family circles connect to one another.

The Map is therefore concerned primarily with relationships, not with physical location.

It answers questions such as:

• Who belongs to this family?
• Who are the parents of this sibling circle?
• Who are the children?
• Which person connects one family circle to another?
• How do these relationships extend across generations?

The resulting Map can be thought of as the topology of the family network. It defines the structure that must be represented without yet deciding exactly where that structure should exist in three-dimensional space.

Model

The Model stage transforms the logical Map into a spatial representation.

This is where the system determines how the relationships should be expressed geometrically. Family circles, people, connections, positions, depth, scale, and other spatial properties are calculated from the underlying relationship structure.

The Model is therefore more than a drawing of the Map. It is a spatial interpretation of the Map that allows the relationships to be represented in three dimensions.

The Map may establish that two family circles are connected through a particular person, but it does not necessarily determine the exact position of those circles in space. The Model is responsible for creating that spatial arrangement.

The challenge is that there is no single arrangement that is ideal for every possible family network. A small family, a genealogy spanning many generations, and a large historical dataset may each require different spatial decisions.

The Model creation process must therefore balance the structure of the relationships with the practical requirements of producing a representation that remains understandable and useful to explore.

Interaction

The final stage is interaction with the resulting Model.

A static image provides one selected view of a relationship structure. An interactive model allows the viewer to choose the viewpoint and determine which part of the structure deserves attention.

The viewer can rotate the model, zoom into areas of interest, move through the structure, and examine relationships from different perspectives.

This is particularly important for large family networks. No single two-dimensional arrangement can necessarily provide the best view of every relationship at once. Interaction allows the viewer to move between local detail and the larger context.

The model therefore becomes something that can be explored rather than simply observed.

The Four Stages Together

The four stages form a continuous transformation:

• Data defines the people and families.
• Map defines the relationships between them.
• Model creates a spatial representation of those relationships.
• Interaction allows the viewer to explore that representation.

Each stage has a distinct responsibility, but each depends on the stage before it. The Model cannot be constructed without the Map. The Map cannot exist without the underlying Data. And the value of the Model is ultimately realized through Interaction.

This separation also means that the same relationship data can potentially support different maps, models, and forms of interaction. The information itself does not need to be redesigned every time the visual representation changes.

A System Rather Than a Single Application

The Family Circles architecture extends beyond the interactive viewer itself. The viewer is the final stage through which a user experiences the model, but other components can participate in the process.

Data can be created, edited, stored, retrieved, or provided through different applications and services. The same underlying concepts can therefore support multiple ways of working with the information.

The architecture can be understood as a separation between the information, the relationships derived from that information, the spatial model generated from those relationships, and the human interaction that makes the model useful.

This separation is what allows Family Circles to be more than a collection of pre-drawn family diagrams. The system can take relationship data and dynamically transform it into a model that can be explored.

The Architectural Principle

The central architectural principle of Family Circles can be expressed simply:

Data defines what exists.
The Map defines how it is connected.
The Model defines how it is represented in space.
Interaction defines how it can be explored.

The result is a pipeline that separates meaning from representation while preserving the relationships that give the data its meaning.

The Family Circles approach is not limited to documenting a single family. The underlying model can be applied to any domain in which people are connected through relationships that form a network across generations, groups, or other structures.

The same basic process remains applicable across these domains: structured relationship data is transformed into a map of connections, the map is used to generate a spatial model, and the resulting model can be explored interactively.

Genealogy and Family History

Genealogy is the most direct application of Family Circles. Traditional genealogical charts can become difficult to follow as the number of generations and relationships increases. A spatial representation provides another way to explore the same underlying information.

Rather than viewing an entire genealogy as a single static chart, a person can be selected as a point of reference and the surrounding relationships explored outward through parents, siblings, children, and additional generations.

This approach is particularly useful for large or complex family structures where the relationships themselves are more important than a fixed hierarchical presentation.

Historical and Biographical Networks

Historical records often contain extensive information about relationships between people. Families of political leaders, monarchs, prominent historical figures, and other individuals can form networks that span many generations.

Family Circles can provide a way to explore these relationships spatially, allowing the structure of a historical network to become visible rather than requiring the reader to reconstruct it mentally from text or a conventional family tree.

The same approach can also be applied to biographies where understanding a person's relationships to parents, siblings, spouses, and descendants provides important context for understanding their life.

Royal and Dynastic Families

Royal families and dynasties provide particularly large and complex examples of intergenerational relationships. Their histories often span centuries and include extensive connections between multiple family lines.

A spatial model can make these structures easier to investigate by allowing relationships to be followed through the network rather than requiring the reader to navigate a sequence of disconnected charts.

The same model can be used to explore both a focused portion of a dynasty and the larger network surrounding it.

Fictional Worlds

The approach is equally applicable to fictional relationship networks. Stories such as Game of Thrones and the Harry Potter universe contain relationships that can be difficult to understand when presented only through narrative text.

Representing those relationships as a spatial network provides another way to explore the structure of the story. Characters can be understood not only as individuals but as participants in a larger network of families and generations.

This also demonstrates that the Family Circles model is independent of the specific source of the data. The same visualization process can operate on historical relationships, fictional relationships, or other structured relationship data.

Genealogical Data Exploration

Large genealogical datasets can contain thousands or millions of people. Displaying the entire dataset at once is rarely practical. The value of a spatial representation therefore comes not only from generating the model, but also from being able to explore different portions of the network.

A system can begin with a selected person and reveal the surrounding relationships as the user moves through the network. This provides a different approach to large-scale genealogy than attempting to display every relationship simultaneously.

The underlying data can remain comprehensive while the visual representation provides a focused view into the portion of the network currently being explored.

Educational and Research Applications

Family Circles can also be used as a tool for teaching and research. A spatial representation can help demonstrate how relationships propagate through generations and how relatively simple relationship rules can produce complex structures.

Researchers studying genealogy, population history, historical families, or other relationship networks may also benefit from being able to examine relationships from different spatial perspectives.

The interactive nature of the model makes it possible to investigate a network rather than simply observe a predetermined diagram.

Beyond Family Relationships

The most significant potential application may be outside genealogy itself. Family Circles demonstrates a general approach to representing relationship networks spatially.

Any domain in which entities are connected through structured relationships could potentially benefit from a similar process. The specific meaning of the relationships may change, but the general progression remains:

The Family Circles implementation is centered on people and families, but the underlying idea suggests a broader class of applications in which complex relationship networks can be transformed into spatial models.

Applications as Experiments

The examples presented throughout Family Circles are also experiments in understanding how different types of relationship networks behave when represented spatially.

Examples such as historical families, royal dynasties, fictional universes, and genealogical datasets provide different challenges for the same visualization system. Some networks are relatively compact. Others grow rapidly across generations or contain many interconnected family structures.

These examples help reveal both the strengths and limitations of the approach. They demonstrate that the value of the model is not simply in producing a visually interesting image, but in creating a representation that allows the structure of the underlying relationships to be explored.

Developing Family Circles has shown that the difficult part of representing relationship networks is not defining the relationships themselves. The greater challenge is transforming those relationships into a spatial representation that remains understandable as the network grows.

Building the system and applying it to increasingly complex datasets has also revealed that the technical challenge is only part of the problem. Creating a model that people can understand, navigate, and find useful may be an even greater challenge.

Relationships Are Easier to Define Than to Visualize

The underlying relationship model can be relatively simple. A person can be connected to a family, and a family can connect parents to their children. Those relationships are sufficient to describe an extensive network of people.

The difficulty begins when those relationships must be transformed into positions in space. The data describes who is connected to whom, but it does not directly describe where those people should appear. The system must interpret the relationships, establish the structure of the network, and then determine how that structure can be represented geometrically.

Scale Changes the Problem

A visualization that works well for a small family does not necessarily work well when the number of people and generations increases. As the network grows, the system must maintain meaningful relationships and useful geometry while avoiding a model that becomes visually overwhelming or computationally expensive.

This creates a fundamental tension between showing more information and maintaining comprehension. Large relationship networks are therefore better understood as structures that can be explored rather than as single images that must be viewed all at once.

Geometry Must Follow the Relationships

It is possible to create a visually attractive arrangement that does not accurately communicate the structure of the network. The geometry must therefore remain subordinate to the relationship model. Spatial decisions should expose the structure rather than obscure it.

Modeling, Rendering, and Interaction Are Different Problems

Creating the spatial model and rendering that model are related but distinct problems. The model must determine what the spatial structure should be, while the viewer must display that structure efficiently and allow the user to explore it.

This separation is important because a successful system must balance structural accuracy, visual clarity, computational cost, and interactive performance. Real-time generation can become expensive as networks grow, and a theoretically elegant model is not successful if it takes too long to generate or becomes difficult to explore.

The quality of the result also depends on the quality of the underlying data. Missing relationships, inconsistent identifiers, ambiguous structures, and incomplete records can all affect the resulting model. The visualization should represent the data rather than silently invent relationships to produce a more complete-looking picture.

Simple Rules Can Produce Complex Structures

One of the most interesting observations from the project is that complex visual structures can emerge from relatively simple relationship rules. Repeating those rules across generations can produce networks of considerable size and complexity without requiring an equally complex definition of every individual relationship.

The Interface Is Part of the Visualization

A three-dimensional model may provide a powerful representation of a relationship network, but the model is only useful if people can comfortably navigate and understand it.

Many users are familiar with scrolling through documents, navigating two-dimensional diagrams, and following links. Three-dimensional navigation is less universally familiar. Users may not immediately understand how to rotate, zoom, move through, or orient themselves within a spatial model.

This creates an important distinction between making a model possible to explore and making it easy to explore. A technically capable viewer does not necessarily provide an intuitive experience for someone encountering a three-dimensional relationship network for the first time.

New Mental Models Require More Than Explanation

Family Circles introduces a way of thinking about family relationships that differs from the traditional family tree. The underlying relationships may be familiar, but the way those relationships are organized and visualized is different.

The distinction between a person, a sibling circle, and a family is simple once understood, but it may not be immediately obvious to someone encountering the idea for the first time. A person accustomed to traditional family trees may initially interpret the visualization using assumptions from that familiar model.

This suggests that introducing the concept may require more than documentation. People may need to encounter the model gradually, beginning with a small and familiar example before attempting to understand a larger network.

A Useful Visualization Does Not Guarantee Adoption

Another lesson from developing Family Circles is that demonstrating that a technology can be useful is different from demonstrating that people will choose to use it.

Family Circles has been applied to a variety of relationship networks, including genealogy, historical families, royal families, fictional universes, and large genealogical datasets. These examples demonstrate that the approach can be applied across many types of structured relationships.

However, the existence of an interesting visualization does not necessarily create a demand for that visualization. People may understand the value of a relationship network once it is shown to them without actively seeking out a new way to explore one.

This raises an unresolved question about adoption. The challenge may not be whether people can understand or use a spatial relationship model, but whether they have a reason to seek one out in the first place.

Family Circles has demonstrated that structured relationship data can be transformed into a spatial model that can be explored interactively. The work completed so far also makes clear that the future challenges are not limited to the technology itself.

The next stage is to determine how the concept can become easier to understand, easier to explore, more scalable, and more useful to people who have never encountered this way of representing relationships before.

Make Exploration Intuitive

The first priority is improving the experience of exploring a three- dimensional relationship network. The ability to rotate, zoom, and move through a model is not enough if users do not immediately understand how to do those things.

Future viewers could provide clearer navigation, guided exploration, better orientation, and more direct ways to move between related people and families. The goal should be to make the spatial environment feel natural without requiring users to learn how to operate a traditional three- dimensional application.

The interface should help users understand not only how to navigate the model, but also where they are within the larger relationship network.

Make the Concept Easier to Understand

The Family Circles model introduces a different way of thinking about family relationships. A person, a sibling circle, and a family each have distinct roles in the model, but these distinctions may not be immediately obvious to someone familiar with traditional family trees.

Future work should therefore explore ways to introduce the concept progressively. A user might begin with a single person, discover the person's sibling circle, see how that circle connects to parents, and then follow those relationships across generations.

The visualization itself should become part of the explanation. Rather than requiring users to read a detailed description before understanding the model, the system should help users discover the underlying idea by interacting with a small and familiar example.

Improve Scale and Performance

Larger relationship networks continue to present both computational and visual challenges. Generating and rendering increasingly complex models in real time requires careful attention to performance while preserving the relationships that give the model its meaning.

Future work could explore more efficient model generation, progressive loading, level-of-detail techniques, and methods for displaying only the portion of a network that is relevant to the user's current exploration.

The objective is not necessarily to display every person simultaneously. Instead, the system should allow large networks to remain accessible while providing users with a meaningful view of the portion they are currently trying to understand.

Explore New Relationship Domains

The Family Circles implementation is centered on people, families, and generational relationships, but the underlying approach suggests a broader possibility.

Other structured relationship networks may also benefit from spatial representation. Historical organizations, social networks, literary characters, scientific collaborations, and other interconnected systems may contain structures that are difficult to understand through conventional lists or diagrams.

Exploring these domains could help determine which characteristics of Family Circles are specific to genealogy and which represent a more general approach to visualizing complex relationships.

Make the Data and Model More Accessible

The separation between data, mapping, modeling, and interaction creates an opportunity to make the system more accessible to experimentation.

A future system could make it easier for people to provide their own structured relationship data and immediately see the resulting model. This could allow users to experiment with different datasets without requiring them to understand the internal implementation of the visualization system.

At the same time, the relationship between the source data and the generated model should remain visible. Users should be able to move between the relationships represented in the data and the spatial structures created from those relationships.

Determine Whether the Concept Has Lasting Value

Perhaps the most important future direction is not technical.

Family Circles has demonstrated that the approach is possible and that it can be applied to a wide range of relationship networks. The remaining question is whether people will find enough value in this way of representing relationships to adopt it as a useful tool for exploration.

That question cannot be answered solely by building more features or creating more examples. It requires observing how people respond to the concept, whether they understand it without extensive explanation, whether they can navigate the models comfortably, and whether the spatial representation reveals something that other forms of visualization do not.

The future of Family Circles may therefore depend as much on discovering the right audience and the right experience as on further technical development.

From Demonstration to Discovery

The work completed so far has established a foundation: relationship data can be transformed into maps, maps can become spatial models, and those models can be explored interactively.

The next stage is to determine what becomes possible when that capability is placed in the hands of people who have never thought about relationships in this way before.

If the concept can become intuitive, the interface can become accessible, and the models can scale without losing their meaning, Family Circles may provide a different way to understand complex relationship networks.

Whether that potential leads to a broadly useful system, a specialized research tool, or simply a new way of thinking about relationships remains an open question.