Social networks theory can help us understand and explain the ongoing processes in societies all over the world. In this video I apply network theory to analyze the dynamics of protests in Ukraine, from Euromaidan to situation in Crimea.
Hope you will like my video! Let me know what you think about it in comments below 🙂
I bet you’ve heard the term “social capital” a zillion times. Over the last decade it became another corporate buzzword that is mindlessly used everywhere. “Build your social capital”, “reap social capital benefits”, “invest in social capital” and even “social capital and you” – how often did you see articles or pages with titles like that? For instance, Google finds 124 million results for the query “how to build social capital”.
However, a lot of people do not know what “social capital” is in reality. In popular culture social capital is usually defined in economic terms and implies getting some advantages or benefits via communication. According to Kadushin, the theory of social capital has two underlying assumptions: Read the rest of this entry →
First of all, I think that what is happening at the moment in Ukraine is horrible; in fact, it’s a tragedy not only for Ukrainian and Russian people, but also for the whole world. I still hope that the conflict can and will be solved without violence, in a peaceful manner.
Nevertheless, when I was following the story in the news, I understood that we could actually use the network theory principles to understand the conflict dynamics in southeastern regions of Ukraine.
So, in this post I would like to avoid politics, discussions about who’s right and who’s wrong, as well as calling names, and look at the situation from the positions of social networks scholars instead. My small research is based on the information available on different Ukrainian and Russian web sites, discussions with friends in Ukraine, as well as on some reports in Western press.
As we know, the whole population of Earth can be described in terms of social networks. This enormous network consists of myriads of different more or less dense clusters connected with each other by strong or weak ties, as well as of structural holes.
The dense clusters are usually formed on the basis of homophily principle (i.e. some common attributes, such as connection, friendship and even language). Propinquity (often geographical) is another characteristic of network clusters. These properties of social networks help to develop a sense of “trust” among their members, as well as generate social support, cohesion and embeddedness, in other words, make people feel themselves as a part of one group and support group decisions. Read the rest of this entry →