Network Analysis and Big (Passive) Data

Network Roundtable April, 2013

www.pwc.com/ca

PricewaterhouseCoopers LLP

Historically much of network maps have been gleaned from web based surveys

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Key stats help identify connectors and bottlenecks

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PricewaterhouseCoopers LLP

Mapping based on email data but other “passive” sources can be used like Facebook or phone data

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PricewaterhouseCoopers LLP

Presentation Outline

Introduction

Why

How

• Social Network Analysis

- Surveys

- Discovered

• Influencer Network Analysis

Discussion

Mining emails can yield a ranking of the strongest organizational relationships...

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...resulting in a passively but continuously maintained CRM system

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PricewaterhouseCoopers LLP

HP Case study: Finding key influencers to reach out to regarding the future of computing technology

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Starting with an early hypothesis we identified subjects that these people had been identified with in the media along with the volume of mentions...

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...but we also showed the wider universe of possible influencers and their connections

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PricewaterhouseCoopers LLP

You can find key influencers using email “forward” data and see who passes them on and so on

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PricewaterhouseCoopers LLP

Network maps can be created on the fly at conferences using GPS and proximity sensors

Network maps can be created in real time at conferences using GPS and proximity sensors

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