Social Networks

32  Dominance Hiearchies

  • Welcome
  • Introduction to Networks
  • 1  What Are Networks?
  • 2  What is A Social Network?
  • Graph Theory: The Basics
  • 3  Introduction to Graphs
  • 4  Graphs and their Subgraphs
  • 5  Types of Ties and Their Graphs
  • 6  Basic Graph Metrics
  • 7  Nodes and their Neighborhoods
  • 8  Nodes and their Degrees
  • 9  Degree-Based Graph Metrics
  • 10  Indirect Connections
  • 11  Directed Indirect Connections
  • 12  Graph Connectivity
  • Matrices: The Basics
  • 13  Introduction to Matrices
  • 14  The Adjacency Matrix
  • 15  Matrix Operations: Row and Column Sums
  • 16  Basic Matrix Operations
  • 17  Matrix Multiplication
  • Centrality
  • 18  Centralities based on Degree
  • 19  Centralities based on the Geodesic Distance
  • 20  Centralities based on Shortest Paths
  • 21  The “Big Three” Centrality Metrics
  • Prestige
  • Two-Mode Networks
  • 22  Affiliation Networks
  • Ego Networks
  • 23  Ego Network Metrics
  • 24  Collecting Ego-Network Data
  • Subgroups and Blocks
  • 25  Clique Analysis
  • 26  Equivalence and Similarity
  • 27  Local Node Similarities
  • Network Theory
  • 28  Dyadic Balance
  • 29  Triadic Balance
  • 30  Structural Balance
  • 31  Valenced Interactions
  • 32  Dominance Hiearchies
  • 33  Diffusion

Table of contents

  • 32.1 Transitivity in Dominance Orders
    • 32.1.1 Perfectly Linear Hierarchies: The Chicken Pecking Order
    • 32.1.2 Human Hierarchies: Deviations from Perfect Transitivity
    • 32.1.3 Types of Triads in Dominance Hierarchies
  • 32.2 Models of Hierarchy Formation
    • 32.2.1 The Attribute-Based Model of Hierarchy
  • 32.3 Interaction-Based Model of Hierarchy
    • 32.3.1 Winner Effects
    • 32.3.2 Loser Effects
    • 32.3.3 Bystander Effects
  • References

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32  Dominance Hiearchies

In social network analysis, understanding how status hierarchies and dominance orders emerge often involves the concept of transitivity. A hierarchy in a social network is defined as a structure where there is inherent inequality in authority or deference among individuals. If one person holds authority, dominates, or has a greater ability to leave a relationship, a hierarchy exists.

32.1 Transitivity in Dominance Orders

Transitivity refers to a property where a relationship passes through nodes. In the context of dominance or hierarchy, it means that if individual A dominates B, and B dominates C, then A also dominates C. This is analogous to the mathematical concept where if A > B and B > C, then it logically follows that A > C. In directed networks, if A is above B, then A is also considered above every actor that B is above.

32.1.1 Perfectly Linear Hierarchies: The Chicken Pecking Order

The concept of a perfectly linear hierarchy, where transitivity is consistently observed, can be clearly illustrated by chickens. When placed in a new environment, chickens engage in scuffles until a clear “pecking order” is established. The winner of a fight asserts dominance over the loser, and this process continues until every chicken knows its place in the hierarchy relative to all others. This hierarchy is ritually reinforced: a higher-status chicken will peck the head of a lower-status one, and the lower-status chicken will assent by lowering its head. This chicken “pecking order” is a classic example of a perfectly transitive dominance order.

32.1.2 Human Hierarchies: Deviations from Perfect Transitivity

Unlike chickens, human hierarchies are typically not perfectly transitive and can vary significantly depending on the context. For example, a teacher might have final authority in a classroom, but outside that setting, those authority relations may not apply or be enforceable. Similarly, someone might show deference to the President of the United States, but this hierarchy can invert during an election as the President’s position depends on the will of the voters. In other cases, two people might be members of two different clubs, each holding a leadership position in one of them, meaning their authority or hierarchical position shifts depending on the specific decision or context. These examples highlight that while hierarchies exist, humans often tacitly recognize an ordering, but disagreements over the factors determining status can arise, and the hierarchies are more context-dependent.

32.1.3 Types of Triads in Dominance Hierarchies

In dominance networks, there are several possible types of triads, which are subgraphs of three nodes. For a linear dominance order to exist, it must be transitive and contain no cyclical triads.

Here are the different types of triadic configurations observed in dominance orders:

  1. Null Triad: This configuration consists of three nodes with no direct dominance links between them. It represents a state where no competitive interactions or dominance relations have been established within that specific group of three individuals.
  2. Single-edge Triad: In this triad, only one dominance link is present between two of the three nodes. For example, if A dominates B, but there are no other direct links between A, B, and C. This is a foundational configuration from which other, more complex, hierarchies can emerge through iterative social competition.
  3. Double-dominant Triad: This triad emerges from a single dominant node that asserts dominance over two other distinct nodes, forming two separate outgoing dominance links from one node. For example, A dominates B, and A also dominates C. This configuration is associated with Winner Effects, where a winning actor gains advantages (like increased confidence or experience) from a previous encounter, making them more likely to win future contests and extend their dominance.
  4. Double-loser Triad: This configuration occurs when two nodes direct their dominance towards a single third node, indicating that this third node is subordinate to both. For instance, A dominates C, and B dominates C. This triad is associated with Loser Effects, where the losing actor in an agonistic encounter experiences disadvantages (such as lowered confidence or injury), making them more prone to losing subsequent contests. In Graph (a) of the practice problems, a double-loser triad is depicted, where two nodes send dominance to the bottom node. This suggests that the bottom node lost the initial contest and subsequently lost to the second node due to the loser effect.
  5. Pass-along Triad: This configuration involves a chain of dominance, where A dominates B, and B dominates C, but there is no direct link between A and C. While it shows a form of hierarchy, it lacks the direct transitivity that defines a “pure” dominance order where A would necessarily dominate C.
  6. Transitive Triad: This is a key configuration for linear hierarchies, where if A dominates B, and B dominates C, then A also dominates C. The existence of the A-C link makes the hierarchy perfectly transitive and contributes to its linearity. This is considered an “expected” triad in dominance networks that approach a pure linear order.
  7. Cyclical Triad: In a cyclical triad, dominance relationships form a closed loop, such as A dominates B, B dominates C, and C dominates A. This type of triad represents a violation of transitivity and is not expected in a pure linear dominance order because it signifies an absence of a clear, unambiguous hierarchy. The presence of such cycles is problematic for establishing a clear linear order.

32.2 Models of Hierarchy Formation

Social network analysts study the emergence of status hierarchies and dominance orders using two primary theoretical models: the attribute-based model and the interaction-based model. These frameworks provide distinct yet complementary explanations for how individuals attain and maintain their positions within a social hierarchy. A hierarchy is defined as a social network structure characterized by an inequality in authority or deference between actors. Deference occurs when an individual yields to another’s opinion or preferences without reciprocation, even if their own preferences differ.

32.2.1 The Attribute-Based Model of Hierarchy

The attribute-based model of hierarchy posits that an individual’s position in a social hierarchy is largely determined by their inherent qualities, abilities, or underlying qualities. This model aligns with intuitive notions that the “best” individuals rise to the top, with others ranked below them based on their relative attributes.

  • Core Premise: According to this model, an individual’s underlying characteristics directly influence their hierarchical standing. For instance, someone might possess talent in academics, excel in sports, exhibit humor, or be a particularly good friend. These qualities, regardless of their specific nature, are considered “quality” in this context. The hierarchy then naturally orders individuals based on these perceived attributes, with the “biggest, fastest, strongest” typically ascending to the highest echelons.

  • Role of Deference: Roger Gould’s (2002) model explains how deference plays a crucial role in this process. If a less talented individual desires to form a connection with a more talented one, they might “exchange” deference for the association. This act of yielding to the more talented person’s opinions or preferences, even when their own differ, becomes a social signal of the recipient’s quality and status. Consequently, the recipient gains greater influence over the terms of the relationship.

  • Influence on Tie Formation: The formation of social ties in this model is thus influenced by an actor’s inherent quality, and any inequalities in quality are often compensated for through deference. However, if the level of deference required within a relationship surpasses the acceptable lack of reciprocity, the relationship may not form at all.

This model suggests a relatively stable hierarchy reflecting underlying capabilities, this is similar to how natural or evolutionary processes might lead to dominance based on intrinsic traits.

32.3 Interaction-Based Model of Hierarchy

The interaction-based model of hierarchy formation proposes that social hierarchies emerge not solely from inherent individual attributes, but significantly from the sequence and outcomes of past status competitions or agonistic encounters. This model contrasts with an attribute-based model, which suggests that hierarchy is a direct reflection of an individual’s underlying qualities like size, age, or strength (Chase 1982). Instead, the interaction-based model emphasizes how local network processes, specifically the results of competitive interactions, influence an actor’s future position in the social structure.

There are three primary types of effects that drive the formation of hierarchy within this interaction-based model: Winner Effects, Loser Effects, and Bystander Effects.

32.3.1 Winner Effects

Winner effects are the advantages or benefits that an actor gains from winning an agonistic encounter. These benefits contribute to an individual’s improved future chances in subsequent contests and their overall social position. For example, in a sports match, winning can enhance an individual’s confidence, making them more likely to win in future competitions. The experience of successfully navigating a conflict can also lead to learned improvements in performance. Additionally, winning has been associated with a surge in testosterone, which may have biological ties to increased aggression and confidence, further bolstering a winner’s propensity for future success. The emergence of “double-dominant triads” is associated with winner effects, whereby a victor in a current context is able to dominate another actor in a future one.

32.3.2 Loser Effects

Conversely, loser effects are the disadvantages or penalties incurred by an actor who loses an agonistic encounter. These can include lowered confidence, injury, or other detriments that negatively impact their future prospects in competitive interactions. Just as winning can create a positive feedback loop, losing can create a negative one, making it harder for the losing individual to succeed in future contests. Loser effects can lead to the emergence of “double-loser triads”, whereby a loser in a current encounter becomes the victim of an attack at a future time.

32.3.3 Bystander Effects

Bystander effects refer to the benefits and penalties that accrue to an actor who observes an agonistic encounter but does not directly participate in it. The bystander’s position is influenced relative to both the winner and the loser of the observed contest via observational learning. While a bystander is likely to defer (and thus accept being dominated) to the winner in a future contest, they simultaneously become stronger in comparison to the loser, being more likely to dominate them in the future. This means that a bystander gains from the loser’s loss but loses from the winner’s gains, reinforcing the previous results of agonistic encounters.

For instance, consider three chickens: a strong one, a moderately strong one, and a weak one. If the strongest chicken fights and defeats the moderately strong chicken, the moderately strong chicken might suffer injury or a loss of confidence. As a result, the weakest chicken, who merely observed the fight, might now be able to defeat the moderately strong chicken, a feat it could not have accomplished before. This illustrates how the final hierarchy is not merely a reflection of inherent abilities but is also shaped by the order in which contests occur. Bystander effects can lead to the emergence of either “double-dominant triads” or “double-loser triads” from an initial “single-edge” triad configuration.

The overall implication of these three effects is that the resulting hierarchy within a social structure is not a pure, perfectly linear ordering based solely on individual attributes. Instead, it is a dynamic structure influenced by the history and sequence of interactions, where intransitive triads can become transitive through these processes. This iterative and social competition guarantees transitivity and linearity in the dominance order over time. Gould’s model, which incorporates actor quality and the desire for reciprocity, also highlights how these factors influence the formation of network ties, contributing to inequalities in social influence and potentially shaping hierarchical structures. Gould’s model suggests that a relationship may not form if the required deference exceeds the tolerated lack of reciprocity. When hierarchies are unclear or ambiguous, it can lead to conflict and competition among individuals.

References

Chase, Ivan D. 1982. “Behavioral Sequences During Dominance Hierarchy Formation in Chickens.” Science 216 (4544): 439–40.
Gould, Roger V. 2002. “The Origins of Status Hierarchies: A Formal Theory and Empirical Test.” American Journal of Sociology 107 (5): 1143–78.
31  Valenced Interactions
33  Diffusion