Social has a shape

Joseph Reagle

Networks

Networks have structures, and structures influence the way individuals and networks behave. (Rheingold 2012, “Net Smart”, p. 191)

social media == social network?

Network shapes

Wikispeedia

Let’s play:
Sun to Zebra (there’s many paths)

Strength of Weak Ties

Mark Granovetter

Kidney chains

° of seperation

 

egs of small world?

  • TikTok - Hailey
  • Tumblr - Nellie

Pareto principle

In 1906 Vilfredo Pareto noted 80% of the land in Italy was owned by 20% of the population.

egs of 80/20?

Sturgeon’s law

90% of everything is crap

Long tail

⇐ fat head: 80% of sales in top 20% (e.g., Barnes & Nobles)

Long tail

⇒ long tail: 20% of sales are in lesser 80% (e.g., Amazon)

egs of long tail?

COVID19

COVID19 Overdispersion

“K The Overlooked Variable”

In an overdispersed regime, identifying transmission events (someone infected someone else) is more important than identifying infected individuals.

It’s not intellectually satisfying, but because of the overdispersion and its stochasticity, there may not be an explanation beyond that the worst-hit regions, at least initially, simply had a few unlucky early super-spreading events. (Tufekci 2020)

Happiness

part of your happiness might depend on people you never met (Rheingold 2012, “Net Smart”, p. 198)

Happiness is “clumpy” in social networks, why?

  • random
  • homophilly (e.g., happy people like each other)
  • confounding variable (e.g., wealthy people are friends and happier)
  • causal/contagious

Longitudinal statistical models [of 4739 people from 1983–2003] suggest that clusters of happiness result from the spread of happiness and not just a tendency for people to associate with [the] similar

A friend who lives within a mile … and who becomes happy increases the probability that a person is happy by 25%. (FowlerChristakis 2008)

Similar for co-resident spouses, siblings within a mile, and next door neighbors. No effects for coworkers.

Value of networks

Sarnoff’s law

The value of (broadcast) network is proportional to the number of viewers: N.

Content is king.

Metcalfe’s law

Metcalfe-Network-Effect

The value of (telecommunications) networks is proportional to the number of potential transactions: N2. It’s quadratic.

(Actually, n*((n-1)/2), but don’t worry about that.)

Reed’s law

The value of (social) networks is proportional to the number of possible groups/affiliations: 2N. It’s exponential.

Network value??

2 8 16
Sarnoff (N)
Metcalfe (N2)
Reed (2N)

Network value

2 8 16
Sarnoff (N) 2 8 16
Metcalfe (N2) 4 64 256
Reed (2N) 4 256 65536

mnemonic??

Network Laws

Implications for social media startups??

  1. In a new market, you need to grow and acquire users fast.
  2. In an existing market, it’s hard to displace incumbents.

The problem with blitscaling

these businesses depend on network effects… [which] involves raising lots of capital and moving quickly to dominate a new market, even when … [they] may not know how they are going to make money in the long term.

The goal for Lyft and Uber—and for all the entrepreneurs being urged to blitzscale—should be to make their companies more sustainable, not just more explosive; more equitable, not more extractive. (OReilly 2019)

Do these laws conflict with Dunbar’s number?

Immaterial capital

Types of capital

economic capital
financial assets, perhaps accumulated from one’s labor
cultural capital
holding of cultural values, habits, and tastes (e.g., speech and dress)
social capital
value of one’s social network
symbolic capital
related to the honor and recognition of the individual.

Social capital

The benefits of networks of trust and expectations of reciprocity.

But is it a “public good” as Rheingold (2012, p. 220) claims?

Bowling alone?

Networked individualism 1

Networked individuals have partial membership in multiple networks and rely less on permanent memberships in settled groups. (RainieWellman 2012, “Network”, p. 12)

Networked individualism 2

  1. Relationships are both local and long-distance.
  2. Personal networks are sparsely knit but include niche groups.
  3. Relationships are more easily formed and disbanded.
  4. While homophily exists, many relationships with people from different social backgrounds.
  5. Some social ties are strong, but many are weak. (BoaseWellman 2006)

TED Talk

Contagiousness

How could we use this to help people?

Conclusion

Wrap up

Write down the most complex or confusing topic that you would like more clarity on.

Review

What was the topic you wanted more clarity on?