Illustration by Ajay Mohanty
And, of course, practically everyone nowadays has something to do with social networking sites on the internet — Facebook, Linked In, Twitter, to mention a few.
What is astonishing though is the discovery over the last two decades or so that all the above, apparently different networks— telecom, biological, disease— can be understood with the help of certain common concepts.
To start with, all networks have “nodes” and “edges”. In the case of Covid-19, the nodes are us human beings, and the edges are what connect the edges together to make up the network. These edges can be, in the case of landline telephones, actual physical cables; in the case of mobile phones, electronic signal; and in the case of human social networks, a psychological feeling of “people-like-me”.
Scientists have also formulated other properties of networks: “Size” (the number of nodes in that network), “Density” (the number of actual connected nodes to the maximum connections possible), the “Degree” of a node ( the number of other nodes connected to it and “Degree Centrality” ( the extent to which a node acts as a bridge between other nodes).
All this may make you yawn and induce you to murmur, “let these scientists have fun with such complicated notions but why should I bother to understand any of this stuff?
Well, wait, things can get exciting when you apply it to networks between people.
Let’s start with Old Boys Networks, the practice of hiring only those people in your firm who have gone to the same high school as you. This was widely prevalent in the multinational companies in India up to the late 1950s. You had to have gone to Doon School, St Paul’s or Lawrence School before you even got a chance for an interview.
Researchers say that most social networks exhibit “homophily”, i.e., members of a network are prone to maintain relationships with those who are like themselves as measured by social class, race, gender, religion or profession. Research in the United States says that 60 per cent of first jobs are found through such social networks. More generally, researchers have found strong evidence of networks in labour markets, particularly in immigrant populations.
Then of course there are “viral videos”, videos on the internet that suddenly catch the fancy of people who then keep forwarding them to friends and acquaintances: Some videos have achieved more than a 100 million views in a few days worldwide purely on the basis of their virality. The specific processes at work that causes virality of this scale are, as yet, not fully understood though theories abound.
The finance sector has had its share of network catastrophes: “Financial contagion” is the phrase used to describe this process and can happen at both the international and the domestic level. The pattern observed so far is that these chain of failures in financial intermediaries are triggered by the failure of a domestic bank or financial intermediary and this failure is transmitted when it defaults on interbank liabilities and /or sells its assets at throwaway prices which brings into question the valuation of assets of similar banks.
And finally, there is this whole body of research which speaks of “Network Effects”; when a network effect is present, the value of a service to a person increases with the number of others using it. For example, more the number of users using a credit card, more the number of shops who will accept it and hence even more users will use that credit card. The contemporary venture capital industry is predicated on this faith in Network Effects.
Maybe, it is time for Network Science to be included in school and college syllabuses just as Physics, Chemistry, Botany, Mathematics, etc, and for it to become a required part in the times to come of counting a person as “educated”.
The writer (email@example.com) is an internet entrepreneur