Organisational Network Analysis: Mapping How Work Really Gets Done

Organisational Network Analysis: Mapping How Work Really Gets Done

Every organisation has two structures. The first is the formal hierarchy — the org chart with its neat boxes and reporting lines, approved by the board and published on the intranet. The second is the informal network — the web of relationships through which information actually flows, decisions actually get influenced, and work actually gets done. Organisational Network Analysis (ONA) is the discipline of making this invisible second structure visible. By mapping and analysing the patterns of interaction among employees, ONA provides insights that traditional organisational design tools cannot.

What Organisational Network Analysis Is

ONA applies the principles of social network analysis — a field with roots in sociology and graph theory — to the workplace. It examines the relationships between individuals (nodes) and the connections between them (ties) to reveal patterns of communication, collaboration, information sharing, and influence. The foundational academic work in this area includes sociologist Jacob Moreno's development of sociometry in the 1930s and the subsequent application of network analysis to organisational settings by researchers such as Rob Cross at the University of Virginia, whose work has been widely published in the Harvard Business Review and MIT Sloan Management Review.

The output of an ONA is typically a network map (also called a sociogram) that visualises who interacts with whom, how frequently, and in what direction. When overlaid with organisational metadata — department, location, role level, tenure — these maps reveal structural patterns that are invisible to the naked eye.

How ONA Differs from Org Charts

The org chart answers one question: who reports to whom. ONA answers fundamentally different questions:

• Who do people actually go to for information, advice, or decision-making — regardless of formal hierarchy?
• Which individuals or teams are central to cross-functional collaboration, and which are isolated?
• Where are the bottlenecks — individuals through whom too much communication must pass, creating single points of failure?
• Which teams that should be collaborating closely are, in practice, barely connected?
• Are new employees being integrated into the organisational network, or are they remaining on the periphery?

In many organisations, the formal hierarchy and the informal network diverge significantly. A mid-level engineer may be the person everyone consults for technical decisions, while the designated technical lead may be bypassed entirely. A department head may appear powerful on the org chart but be peripheral in the actual flow of influence. ONA surfaces these realities.

Data Collection Methods

ONA relies on two primary approaches to data collection:

• Active (survey-based) ONA: Employees are asked to respond to questions such as "Who do you go to for information to get your work done?" or "Who energises and motivates you at work?" The responses generate a directed network showing who seeks information or energy from whom. Active ONA provides rich, intentional data but is subject to survey fatigue and response bias. Rob Cross's research has popularised this approach, using questions designed to map information flow, decision-making influence, and energy networks.
• Passive (digital exhaust) ONA: This approach analyses metadata from digital communication tools — email headers (sender, recipient, timestamp), calendar invitations, messaging platform interactions (such as Microsoft Teams or Slack), and collaboration tool usage. Passive ONA captures actual behaviour at scale without requiring employees to complete surveys. However, it raises significant privacy and ethical considerations that must be addressed transparently.

Many organisations use a combination of both, using passive data for broad structural patterns and active surveys for deeper insight into the quality and nature of relationships.

Key Network Roles and Patterns

ONA identifies several important roles within a network:

1. Central connectors: Individuals with a high number of connections who serve as hubs of communication. They are valuable but also at risk of burnout and can become bottlenecks if too much depends on them.
2. Brokers (boundary spanners): People who bridge otherwise disconnected groups — for example, someone who connects the engineering team with the sales team. Brokers are disproportionately important for cross-functional innovation and knowledge transfer. Research by sociologist Ronald Burt on "structural holes" demonstrates that individuals who bridge gaps between clusters have access to more diverse information and greater influence.
3. Peripheral members: Individuals with few connections, who may be new to the organisation, disengaged, or simply working in roles that require less collaboration. Peripheral status is not inherently negative, but it can indicate integration problems that deserve attention.
4. Energisers: People who, according to active survey data, leave others feeling motivated and positive after interactions. Research by Rob Cross and others has found that energisers are disproportionately associated with high-performing teams.

The most influential people in an organisation are not always those with the highest titles. ONA reveals where real influence resides — and that knowledge is essential for effective organisational decision-making.

Applications of ONA

ONA has practical applications across several HR and business domains:

• Restructuring and reorganisation: Before restructuring, ONA identifies which connections are critical for work to flow. This helps leaders avoid inadvertently severing vital collaborative ties when redrawing organisational boundaries.
• Post-merger integration: After a merger or acquisition, ONA tracks whether employees from the two legacy organisations are actually building connections or remaining in separate clusters — a key indicator of cultural integration progress.
• Collaboration improvement: ONA can identify teams or functions that are siloed and would benefit from structured interaction. It also reveals over-collaboration — situations where excessive meetings and consultations are slowing decision-making.
• Leadership identification: By identifying informal influencers and central connectors, ONA complements traditional talent assessments in identifying individuals with leadership potential that may not be visible through conventional performance reviews.
• Remote and hybrid work management: ONA is particularly valuable for organisations with distributed workforces, where the risk of network fragmentation is higher. It helps leaders understand whether remote employees are maintaining connections or becoming isolated.

Ethical and Privacy Considerations

Passive ONA, in particular, requires careful attention to privacy and ethics. Employees must be informed about what data is being collected and how it will be used. Analysis should focus on aggregate network patterns, not individual surveillance. In India, the Digital Personal Data Protection Act, 2023 establishes a framework for the processing of personal data, including employee data, and organisations must ensure their ONA practices comply with its provisions regarding purpose limitation, consent, and data minimisation. Ethical ONA focuses on understanding structural patterns to improve how work gets done — not on monitoring individual behaviour.

Organisational Network Analysis transforms the invisible architecture of collaboration into actionable insight. For HR and business leaders navigating restructuring, hybrid work, or cultural transformation, ONA provides an evidence-based foundation for decisions that would otherwise rely on intuition and incomplete information.