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Peter A. Gloor MIT Center for Collective Intelligence Designing Collaborative Swarms How to empower Collaborative Innovation Networks
6

Peter Gloor: From Crowd to Swarm

Dec 07, 2014

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Christine Chun

To hear the actual talk, please see:
https://www.youtube.com/watch?v=hLfm8QKc_oc&feature=youtu.be

MIT’s Peter Gloor emphasized the value of collaborative innovation networks that become similar to bee swarms in their ability to work together whereas crowds are essentially less coordinated and effective. Gloor finds responsiveness a key feature of successful collaborative innovation. www.yegii.com

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Page 1: Peter Gloor: From Crowd to Swarm

Peter A. GloorMIT Center for Collective Intelligence

Designing Collaborative Swarms

How to empower Collaborative Innovation Networks

Page 2: Peter Gloor: From Crowd to Swarm

Why crowds are stupid and swarms are smart

Page 3: Peter Gloor: From Crowd to Swarm

Crowds – it’s all about money (+ power + glory)

Page 4: Peter Gloor: From Crowd to Swarm

Swarms– it’s about love (+ money + power + glory)

Page 5: Peter Gloor: From Crowd to Swarm

Collaborative Interest Network

Collaborative Innovation Networks (COINs)

CollaborativeLearning Network

CollaborativeInnovation

Network

Creator

Page 6: Peter Gloor: From Crowd to Swarm

Extracting Honest Signals from Social NetworksConstructs Variables Operationalization Implications

Connectivity Group DensityHow many nodes are actually

connected compared to all possible connections

Dense networks are more resilient; sparser networks have greater potential to access variable sources of information

Group Centrality Group Betweenness Centrality

Fraction of shortest paths between every possible pair of nodes that pass through at least one node in the group

Identify stages of team development and characterize team leadership structures.

Rotating Leadership

Oscillations in Actor Centrality

Oscillations in Actor Betweenness Centrality, how often an actor connects a pair of actors who would not otherwise be connected

Indicative of changes in leadership structures and deference to expertise

Contribution Symmetry

Variance in Contribution Index

CI = an individual’s proportion of sent-to-received email messages

Low variance in CI of team members indicate comparable levels of interactivity in which no one actor dominates

Responsiveness Average Response Time

Average of team members’ average response times for email messages in

Responsiveness within a COIN may predict performance

Group Emotionality Emotionality Ratio % positive words in e-mails/

% negative words in e-mail

The extent to which the words used are emotionally charge; balance between positivity and negativity