Node centrality in SNA

In Social Network Analysis, a node is important when looking at relationships in a network. There are different types of node centrality and they each look at relationships in a network. There is degree centrality, which looks at he degree with nodes and edges, betweenness centrality which looks at the path in networks, closeness centrality which is the distance between nodes and eigenvector centrality which is a measure of a node. (Robins, 2015) Each are important when looking at social network analysis and they have been used in a lot of research to look at relationships

In this picture, it shows the degree centrality and the Eigenvector centrality in Social network analysis. https://stackoverflow.com/questions/24841789/how-to-find-degree-centrality-of-nodes-in-a-matrix

In the first journal article I chose to look at, they looked at node centrality with regards to social media. They looked at how people communicate with each other. In this case, they used mobile devices as the nodes. “If two nodes have more other acquaintances in common, they may have a higher probability of two people being acquainted.”(Shi, Chen & Gao, 2015) This makes sense; they would be closely related if they had acquaintances in common. We have people that we have a lot more contact with than others. Social network analysis is based on any relationships that we have with other people.

The other journal article looked at human contact in complex networks. I liked how they said, “in epidemiology, some possibly infective contacts between individuals are long term (friends, family) but many are fleeting.”(Hyoungshick & Anderson, 2012) This makes me think of relationships people have with each other. Some relationships are long term with people we have in our lives for a long time, and sometimes we have short-term relationships with people who maybe we knew but we don’t keep in contact with them anymore or we only knew them briefly. It is really interesting to see just how much node centrality is important in our relationships and just how important it is to social network analysis.

Hyoungshick, K., & Anderson, R. (2012). Temporal node centrality in complex networks. Physical Review E, 85(2). doi:10.1103/physreve.85.026107

Robins, G. (2015). Doing social network research: network research design for social scientists. Thousand Oaks, CA: SAGE Publications Ltd.

Shi, Y., Chen, S., & Gao, Z. (2015). Measures of node centrality in mobile social networks. International Journal of modern physics, 26(9). doi:10.1142/S0129183115501077

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