Skip to main content

The Dunbar Number and Limits of Our Social Networks

THE SOCIAL MEDIA AND WEB 2.0 (though both are considered synonymous by some) provided the netizens with amazing new possibilities, like a new universe opening up with everyone mingling with everyone else. While the web (no pun intended) of these collaboration network, social in nature, kept increasing in complexity and continued expanding, there was no measure for if it were to follow the same yo-yo model of the actual Universe (try here). In other words, it was very difficult to ascertain if the motion was inward or outward, for there were no clear boundaries defined or known.
The size of the neocortex of the brain allows humans to have stable networks of about 150. This is known as "the Dunbar number".
With the help of Dr. Robin Dunbar’s research, perhaps we now have the first indications toward the limitations of Web 2.0 vis-a-vis human psychology and behaviour. Dr. Dunbar is an anthropologist currently with the Oxford University and has studied primates and humans and their social behaviour.

Many of the activities and exchanges on the online social networks are considered "grooming". In the wild, grooming is time-consuming: keeping track of who to groom —and why— demands quite a bit of mental computation. One needs to remember who is allied with, hostile to, or lusts after whom, and act accordingly.

On the web, social 'networking' algorithms and computations power help with these calculations. Yet, the cognitive power of the human brain limits the size of the social network that an individual of any given species can develop. Dr. Dunbar suggested that the size of the neocortex of the human brain allows for having stable networks of about 148 connections (or 150 in round figures). This is known as "the Dunbar number", and recent sampling of Facebook users network gives an average of about 120, which seems consistent with this hypothesis. The research continues further as follows:

Many institutions, from Neolithic villages to the maniples of the Roman army, seem to be organised around the Dunbar number.

[In the modern era] An average man —one with 120 friends— generally responds to the postings of only seven of those friends by leaving comments on the posting individual's photos, status messages or "wall". An average woman is slightly more sociable, responding to ten. When it comes to two-way communication such as e-mails or chats, the average man interacts with only four people and the average woman with six. Among those Facebook users with 500 friends, these numbers are somewhat higher, but not hugely so. Men leave comments for 17 friends, women for 26. Men communicate with ten, women with 16.

Humans may be advertising themselves more efficiently. But they still have the same small circles of intimacy as ever.
This also goes on to say that if you are "in touch" with that person fairly regularly with whom you are perhaps yet to work out a one-on-one, you are better off treasuring those interactions, for you have gotten into the "core" within the Dunbar circle. At the same time, in his 2005 book —The Human Story— Dunbar quotes Bob Marley's Redemption Song (try here), suggesting not to fall pray to the omnipresent temptations of 'grooming'.

(More to read and write on the Attention Economy in the coming posts.)
  • See also:
  • Go here for the relevant research paper [PDF] by Dr. Dunbar titled "The Social Brain Hypothesis" at the University of Liverpool website
  • Go here for The Economist article: "The size of social network".
  • Go here for a video lecture by Dr. Dunbar titled "What Makes Us Human?" at pulse-project.org

Comments

  1. Very intereting !
    Surely it makes a lot of sense!

    ReplyDelete
  2. Something that rings the "true" bell about it, isn't it?

    It appears however that the Dunbar Number for the "offline" social network of real life (for a neutral-overt) would be even smaller than 150, don't you think?

    ReplyDelete

Post a Comment

Popular posts from this blog

The Independent Directors at OpenAI

Sam Altman was the CEO and  Greg Brockman  was the chairman of the board  at OpenAI.org, the parent company that is listed as a not-for-profit organization in the US u/s 501(C)(3).   On 17 Nov 2023 both of them were fired by the Independent Directors of the board. This post talks about the 4-day drama that ensued at the back of these events, focusing on the role of Independent Directors. (Try here for a related earlier post.) One year ago the company launched the ChatGPT, the Large Language Model, that rose to prominence with its Generative AI capabilities (“GPT” or Generative Pre-trained Transformer) and human-like response and interactive interface (“Chat”). At launch ChatGPT was based on based on GPT-3.5 series. The launch took the internet by storm as Microsoft unveiled its commercial partnership with the firm, and its global marketing machine geared into action.  To accommodate for this new profit-making "partnership" endeavor, the firm came up with anothe...

OpenAI and the Network Effect (ft. Md Rafi and Ola Krutrim)

"Who is the greatest Bollywood singer of all times?" I typed into chat.krutrim.com It listed seven, but missed Mohammad Rafi.  Horrified, I followed up, "Why is Mohammad Rafi not in this list?"  And it missed the context, replying, "Mohammad Rafi is not in the list because the list you are referring to is not provided." With a deep sigh, it reminded me of Altman's India visit June last year. Someone asked him if India should invest in building a Foundational model (assuming funding and talent is not as issue). And he replied , "it would be hopeless to compete with us on training foundation models.. you shouldn’t try”. Try they will, and they should. The world's fourth(?) largest economy has pockets of deep pockets that can sustain the demands of developing a resource hungry technology such at Foundational LLMs. But distribution, diffusion and monetisation remains challenging, when chatGPT, Copilot and Gemini in Indic languages are just an App ...

$NVDA: When You are The Moat

NVIDIA had their earnings call yesterday for the quarter ending Dec'23. Markets were muted in anticipation. As expected, the S&P 500 rose by 2.5% on the back of a strong performance and pipeline. The day after, NVIDIA stock rallied to all time high of $800. This gave the company a market cap of USD 2 Tn, surpassing Alphabet, Inc., and becoming the fourth largest listed company in the world by market value.  For perspective consider this - the single day gain of USD 277Bn was bigger than the largest listed company in India - the world's 4th biggest equity market, and by an estimate its market cap was now larger than the entire SENSEX of India. Who knew? Perhaps not even Berkshire Hathaway. (See share holding pattern in the links below). One of the simplest reasons for the meteoric rise of NVIDIA is, as Warren Buffet once famously said about resilient businesses, that NVIDIA provides a moat to the the software firms for their business of developing and productising AI and, sp...