Blog 2: SNA

Social network analysis is important in our modern society because it looks at relationships and how we are connected to each other. Social network analysis looks at social actors and the relationships between them. (Robins, 2015) The social actors would also be known as nodes and the relationships in this case would be known as edges. We need social network analysis in our everyday lives because we form relationships and have existing relationships in our daily lives.

This picture looks at how a social network works. The link is what connects us and each node would represent a person or thing in social network analysis.


Social science looks more at statistics, graphs and actually studies the relationships we have. “Social science involves social entities involved in social action”(Robins, 2015) It looks more at the actual sample of what we are studying and also uses linear models. Relational data is a way of looking at transactions between actors at a given time. (Robins, 2015) It looks at connections and ties to people in a social network. Descriptive analysis goes more in depth when looking at research and talks more about what makes networks the same or different.

I didn’t realize that those who study social networks also look at the negative relationships we have also and not just the positive ones. I figured friendships and positive relationships would be focused on, but I realized that negative relationships are just as important when being studied. Relationships are everywhere and they are always in our daily lives. “Relationships indicate a connection between two or more people or things.”(Haythornthwaite, 1996) This relationship can be positive or negative. Social network analysis will continue to be important when looking at our relationships and connections. We have found out a lot of useful information when it comes to social network analysis just by doing research.

This picture shows how predictive analysis works. It takes data that they already have and makes predictions about the future. While this example talks about travel, this is still how social network analysis works with predictive analysis.


Haythornthwaite, C. (1996). Social network analysis: An approach and set of techniques for the study of information exchange. Library and Information Science Research, 18(4), 323-342.

Robins, G. (2015). Doing social network research: network-based research design for social scientists. Los Angeles: Sage Publications Ltd.

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