First part -Keywords -Introduction -Background -Network theory and social capital Second part...

The ties that bind: Social network principles in online communities.

Alan Fco. Diaz Hernandez

Prof. Dr. Eduard Heindl

Content

First part

-Keywords-Introduction -Background-Network theory and

social capital

Second part -Slashdot -Model and hypothesis -User conduct-Hypothesis 1,2,3,4 -Research design and

data-Results-Conclusions

What is a SOCIAL NETWORK?

Keywords.

Online communities.

Social Capital.

Structural Holes.

Reputation Systems .

Web 2.0

Ronald Stuart Burt

Introduction. Web 2.0 (Wikipedia, Facebook, Slashdot).

The client is faceless.

Online social networks had become a parallel world to many people.

Social network theory's.

Online social networks.

BrokerageClosure.

Background.

Can a online social network which is not much more than a network be considered an organization?

Aristoteles.Granovetter.

Ouchi.

Network theory and social capital.

Social Network Social capital

Online Social networks. ex. TWITTER

Network Theory.

Burt Theory of social capital in network by focusing on the presence or absence of structural holes.

BROKERAGE vs. CLOSURE

CLOSURE vs. BROKERAGE.

Studies (Brokerage).

Burt The social capital of French and American managers.

Zaheer y bell Benefiting from network position: firm capabilities, structural holes, and performance.

Studies (Closure).

Ashleight y Nandhakumar Trust and technologies.

So which one it´s better????

Closure Brokerage

Second partStudy for the site Slashdot.

Site which provides news of technology founded in 1997.

How it works?

What´s “KARMA”.

2002Online social network.

Model and hypotheses

The relationship between network structure and social capital.

Social capital KARMA Brokerage High between ness/low

constraint.

Closure Low between ness/High constraint.

Users conduct

Constraint Between-ness

Research design and data.

6000 users with over 200,000 relationships.

Standard regression of several variables like: comments, friend ratio, foe ratio and karma.

Using UCINET.

Results.

Results.

Respond Hypothesis 1.

Results. Respond Hypothesis 2.

Results.

Respond Hypothesis 3.

Results.

Respond Hypothesis 4.

Conclusion

Structural Holes have an important role in a social network.

Brokerage lower levels of karma. Closure higher levels of karma.

Based on advertising.

Conclusion

High KarmaLower Karma

Questions?

Results

How is karma generated?.

Hypothesis 1.

A.-Most participants of the site will exhibit both low between-ness and low constraint.

B.-There will be more participants with high constraint measures than with high between-ness measures.

C.-There will be few individuals who score highly in both constraint and between-ness.

Hypothesis 2.

A.-High between-ness and high constraint are individually associated with high social capital.

B.-High between-ness and high constraint are jointly associated with high social capital.

C.-High constraint is more associated with high social capital than is high between-ness.

Hypothesis 3.

A.-Between-ness is inversely related to participation intensity.

B.-Constraint is directly related to participation intensity.

C.-Network investment moderates the relationship between both between-ness and constraint and social capital.

Hypothesis 4.

A.-Positive outcomes from between-ness are more significant to those with high social capital.

B.-Positive outcomes from constraint are more significant to those with low social capital.