In last few weeks of Social Network Analysis, I have read briefly about node centrality measures and their significance in SNA. Node centrality measures help us to identify important nodes within the network and researchers often use these measures to predict the outcome of a specific node within a network (Robins, 2015). Centrality measures help… Read More Use of Node Centrality Measures in Previous Studies
Source: TheCQL YouTube Social Capital is such a familiar concept for all of us. It’s just that when we learned to create our own “social capital”, we didn’t really know that there is a term that explains it. Since we were kids, we learned to make friends, be nice to neighbors, let our classmate borrow… Read More What is your Social Capital?
Small world theory is one of the fascinating readings I have come across. I think it represents the sentence “everybody knows someone, who knows someone, who knows someone you know”. Small world theory hypothesizes that two strangers are only separated by six degrees, meaning we are connected to everyone in the world with only five… Read More It’s a Small World!
In recent years, in the wake of social media popularity, Social Network Analysis has gained a renewed interest from researchers from varied fields. In the paper “The Social Network Perspective”, Kleim suggests that even though social network research may seem like a newly found research method, it has roots in the classic works of… Read More Week-2 Social Network Analysis
For this week’s readings, I chose to read the book “Linked How Everything Is Connected to Everything Else and What It Means” by Barabasi. Networks are everywhere! Indeed! Barabasi provides a detailed summary and history of progression of the complex social networks and the related theories. He provides a compelling account of how networks behave… Read More Linked By Barabasi