Process / pipelineOrganizational BehaviorOrganizational behavior / social networksPipeline

Organizational Network Analysis

Also known as: ONA, Intraorganizational Network Analysis, Workplace Social Network Analysis, Advice and Friendship Network Analysis

OriginatorDaniel J. Brass; David Krackhardt; Herminia IbarraYear1984Sources3Related methods9

Organizational network analysis studies the informal web of relationships — who goes to whom for advice, who is friends with whom, who works with whom — that runs alongside the formal org chart and often determines who actually gets things done. Daniel Brass's 1984 study of a newspaper publishing company showed that an employee's position in workflow, communication, and friendship networks predicted perceived influence and promotion better than formal rank. David Krackhardt's 1990 work added a cognitive twist, demonstrating that accurately perceiving the informal network is itself a source of power. Herminia Ibarra's 1993 study related network centrality to involvement in technical and administrative innovation, distinguishing the network bases of different kinds of influence. Together these works established a pipeline: collect relational data on the organization, compute each member's structural position, and link those positions to power, influence, and innovation. The approach treats the organization as a structure of relationships rather than a hierarchy of boxes.

Key highlights

  • Reveals the informal structure of influence and information flow that the formal org chart hides, with classic evidence that position predicts power and promotion.
  • Distinguishes among relations — advice, friendship, workflow — so the analyst can match the right network to the right outcome.
  • Yields per-person structural measures such as degree and betweenness centrality that drop directly into regression models of organizational outcomes.
  • Incorporates the cognitive dimension, recognizing that accurately perceiving the network is itself a source of power.

Intuition

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How it works

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When to use it

Use organizational network analysis when you want to explain influence, information flow, collaboration, or innovation inside an organization and you suspect that informal relationships matter beyond the formal hierarchy. It is appropriate when you can define a clear network boundary, collect whole-network relational data with high response rates, and distinguish the relations of interest (advice, friendship, workflow). It is well suited to questions about who has real power, how knowledge diffuses, where collaboration breaks down, and which positions foster innovation. It is less appropriate when relational data cannot be collected from most members (making centrality measures unreliable), when the unit of interest is the individual's attributes rather than their relations, or when the relevant influence operates across organizational boundaries that the bounded-network design excludes.

Strengths & limitations

Strengths
  • Reveals the informal structure of influence and information flow that the formal org chart hides, with classic evidence that position predicts power and promotion.
  • Distinguishes among relations — advice, friendship, workflow — so the analyst can match the right network to the right outcome.
  • Yields per-person structural measures such as degree and betweenness centrality that drop directly into regression models of organizational outcomes.
  • Incorporates the cognitive dimension, recognizing that accurately perceiving the network is itself a source of power.
Limitations
  • Whole-network designs demand near-complete response rates, because missing respondents distort centrality and structural measures.
  • Self-reported ties are subject to recall and reciprocity error, and the chosen network boundary can include or exclude consequential relationships.
  • Cross-sectional network data make it hard to separate whether central positions cause influence or influential people attract ties.
  • Collecting relational data from named colleagues raises confidentiality and reactivity concerns that can bias responses.

Common pitfalls

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Applications

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Frequently asked

Why study the informal network when there is already an org chart?

The org chart shows formal authority, but work, influence, and ideas usually flow through informal relationships that the chart does not capture. Brass found that positions in workflow, communication, and friendship networks predicted perceived influence and promotion beyond formal rank, and Ibarra found that network centrality predicted involvement in innovation. The informal network is where advice is sought, trust is granted, and coalitions form, so mapping it explains organizational behavior that the hierarchy alone cannot. Organizational network analysis makes this otherwise invisible structure measurable and actionable.

Which centrality measure should I use?

It depends on the mechanism you care about. Degree centrality — the number of direct ties — captures local connectedness and access, useful when influence comes from being widely sought out. Betweenness centrality counts how often a person lies on the shortest paths between others, capturing brokerage and control over flows, useful when power comes from bridging otherwise separate groups. Ibarra showed that different forms of centrality matter for technical versus administrative innovation roles, so the right measure follows the theory. Many studies report several centrality measures and check whether results are robust across them.

What did Krackhardt mean by cognitive accuracy being a source of power?

Krackhardt measured not only each person's actual network position but also how accurately they perceived the whole informal network. He compared each member's mental map of the advice and friendship networks to the aggregated consensus and found that people who more accurately perceived the advice network were rated as more powerful, independent of their structural position. The intuition is that knowing who really talks to whom lets you navigate coalitions, find the right person, and anticipate reactions. Accuracy of the friendship network was not similarly related to power, underscoring that it is knowledge of the instrumental advice network that confers advantage.

Sources

  1. 1.
    Krackhardt, D. (1990). Assessing the political landscape: Structure, cognition, and power in organizations. Administrative Science Quarterly, 35(2), 342-369.
  2. 2.
    Ibarra, H. (1993). Network centrality, power, and innovation involvement: Determinants of technical and administrative roles. Academy of Management Journal, 36(3), 471-501.
  3. 3.
    Brass, D. J. (1984). Being in the right place: A structural analysis of individual influence in an organization. Administrative Science Quarterly, 29(4), 518-539.

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ScholarGate. (2026, June 23). Organizational Network Analysis. ScholarGate. https://scholargate.app/organizational-behavior/organizational-network-analysis