Social Network Design tips

In ‘How to build your network’, by Brian Uzzi and Shannon Dunlap, Harvard Business Review December 2005, the authors argue that strong personal networks don’t just happen but need careful cultivation involving ‘relatively high-stakes activities’ with diverse groups of people.

social_network.jpg


A key tenet of bioteaming is connectivity ie good teams are well connected to each other and to their wider world. They manage their close relationships using strong ties (bonding social capital) and their wider relationships using weak ties (bridging social capital).

Networks are also vital in helping disseminate new ideas - no matter how good your new technology or product or process is it will go nowhere unless it reaches the right people.

Uzzi and Dunlap identify 3 unique advantages of networks - providing access to:

  1. private information

  2. diverse skill sets

  3. power

They argue that networks are built using one of three subsconscious principles:

  1. Self-similarity is picking people who are like you - this leads to 'inbred networks'

  2. Proximity is picking people who spend the most time with you - this leads to networks with 'echo chambers'

  3. Shared Activities is proactively building your network, not through casual networking or 'schmoozing', but by valid shared activities such as participation in voluntary enterprises together

The authors offer a useful worksheet for diagnosing your personal network along these lines and show you how to find the vital brokers in your network.

For more on personal networks checkout How is your personal ecosystem of relationships.

Comments (0)| Related (3) |

Print this article

1 Comment

I think "solving a real world problem" is also a key principle of social network design.

 


Bioteams Books Reviews

What teams can learn from wolves

What teams can learn from wolves

If you think that there is not much human teams can learn from nature think again! Temple Grandin in her amazing book Animals in Translation: Using the Mysteries of Autism to Decode Animal Behavior (p303-307) puts forward the incredible theory that early humans only became today’s successful homo sapiens because they learned to act and think like the wolves they co-habited with.


Buy it now from:
Amazon.Com
Amazon.Co.UK


(8) |

continue reading

Click here to check all Bioteams book reviews

Ken's LinkedIn Profile



Follow Ken's Blogs



NASA Widget2_160x40.jpg

KenThompson


Featured Categories

Trending Topics

agility analytics ants autopoiesis bees biomimicry bioteaming bioteams change management collaboration Collaboration collective intelligence community complex systems dashboards digital dashboards ecosystems excel experiential learning flock games high-performing teams HPT innovation leadership learning meetings mobile phones organizational teams penguins pheromones self-managed teams serious games simulators social media Social Networks social networks social software swarm swarm intelligence swarmteams teams teamwork The Networked Enterprise tit for tat VEN videos virtual communities virtual enterprise virtual enterprise networks virtual teams visualization web2.0 wisdom of crowds

Click for more...

Featured Article

Team joining hands

The secret DNA of high-performing virtual teams

Bioteaming – the secret to high-performing, self-organising, virtually networked teams... more

Locations of visitors to this page

Bioteams iphone app
Bioteams android app

Search www.bioteams.com


Bioteams Lite

FeedWind

Latest Full Articles


Bioteams Assessor - Instantly check how good your team is?
BioScore Calculator – Instantly see if you need Bioteams
Discover Bioteams principles Yourself via Action Learning

Bioteams Manifesto

Communities and Networks Connection

Bioteams Ice-Breaker Zone

Only Fools and Horses Video Clip Funny Team Collaboration Video Dilbert Mission Statement Generator Ali G Video Funny Red Dwarf Video  FatherTed  Pixar

News Feed

Sign up for RSS   RSS Feed Subscription
        (What's RSS?)

10 Most popular posts

Recent posts

Archives

Download Browsealoud