Coolhunting Overvie · Most effective communicators personal community Degree of Sharing high...

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Peter A. Gloor MIT Center for Collective Intelligence Coolhunting Overview

Transcript of Coolhunting Overvie · Most effective communicators personal community Degree of Sharing high...

Page 1: Coolhunting Overvie · Most effective communicators personal community Degree of Sharing high Degree of Interactivity low high (m-m) small (1-1) Degree of Connectivity

Peter A. Gloor MIT Center for Collective Intelligence

Coolhunting Overview

Page 2: Coolhunting Overvie · Most effective communicators personal community Degree of Sharing high Degree of Interactivity low high (m-m) small (1-1) Degree of Connectivity
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Most effective communicators

personal

community

Degree of Sharing

high Degree of

Interactivity

low

high (m-m)

small (1-1)

Degree of Connectivity

(1-m)

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Star

Galaxy

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SCADU. Cologne

Cincinnati

Deloitte

Helsinki

MIT

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Cincinnati

EC proposalICIS panel

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Crowd Twitter/Web

(Google, Bing, Yahoo)

Experts Blogs/Wikipedia

Swarm Forums/Facebook

(Fanpages)

Network

Trend

Content

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Unit of Observation

Interaction Archives

Research Goals

World Web/Blog/ Social Networking sites

Predict movie box office success Predict political elections Predict consumer sentiment Predict stocks

Organization Intranet/E-Mail/phone log

Predict project success Predict startup success

Individual Web/Blog/E-Mail/phone log/ sociometric badges

Predict personality characteristics Predict team success

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1998

42 out of business

2004

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successful founders from

public universities

successful founders from

private universities

# online friends

# online alumni friends

0

- 0

+

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Tables by John D. Collins

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Tables by John D. Collins

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Tables by Qiaoyun Yun

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Tables by Qiaoyun Yun

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Unit of Observation

Interaction Archives

Research Goals

World Web/Blog/ Social Networking sites

Predict movie box office success Predict political elections Predict consumer sentiment Predict stocks

Organization Intranet/E-Mail/phone log

Predict project success Predict startup success

Individual Web/Blog/E-Mail/phone log/ sociometric badges

Predict personality characteristics Predict team success

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3. Compare

with success

indicators

2. Compute social

interaction networks

1. Collect social

network data

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1.  “Centralized Leaders” 2. “Rotating Leaders”

3. “Waggle Dance” 4. “Attraction Pheromone”

Discover

Measure

Mirror

Optimize

June 2010 August 2010

October 2010 December 2010

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high centrality/ density

high

suc

cess

lo

w s

ucce

ss

low centrality/density

positivity

negativity

honesty

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Moderately happy customer (NPS 29%) Steady team

Leaders active senders

Relatively high GBC Clear leaders

Very happy customer (NPS 67%)

Steady team Leaders active senders Team well-balanced (send & receive same)

High GBC Clear leaders

Very unhappy customer (NPS -33%)

Changing team Passive leaders (get more than send)

Low GBC Leaders invisible

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Unit of Observation

Interaction Archives

Research Goals

World Web/Blog/ Social Networking sites

Predict movie box office success Predict political elections Predict consumer sentiment Predict stocks

Organization Intranet/E-Mail/phone log

Predict project success Predict startup success

Individual Web/Blog/E-Mail/phone log/ sociometric badges

Predict personality characteristics Predict team success

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Blue – drummerRed – singer/leaderGreen - audience