Small world blog

The idea of small world theory relates to the idea that while two people may not know each other, they might share acquaintances, meaning they have a connection to each other. We have many connections and sometimes we don’t realize we know someone until we realize that we have mutual friends. That is why we hear people saying it’s a small world when we realize a friend might know someone else that we know. An example would be when I started at my new job, there is someone who works there who knows one of my friends, and it really is a small world when we think about it!

We have strong and weak ties in our everyday lives. A strong tie would be our immediate family members and our close friends who we see often. A weak tie would be a friend we don’t talk to often or people we know but we don’t see each other on a regular basis. “Our acquaintances (weak ties) are less likely to be socially involved with one another than our close friends (strong ties).”(Kadushin, 2012) We have stronger ties to people we have relationships with and they often have similarities to us, it makes sense that usually our close friends have a lot of the same interests as we do. A weak tie means they have less of a relationship.

This picture shows the difference between a strong and a weak tie. Strong ties are closer together and weaker ties are further apart. https://www.uloop.com/news/view.php/92849/The-Importance-of-Networking-With-Wea

A strong tie and a weak tie are just as important to each other, they have different roles in our lives but they are still relationships. Many of my Facebook friends are people that I just know either from school or work but it doesn’t mean that I talk to them everyday and have a strong relationship with them but they are still important because I have a connection to them in some way. There are others who I do see mostly everyday and they are the strong ties in my life.

Six degrees of separation says that we can be linked to any one person by six people. “A degree of separation measures a social distance between people. You are one degree away from everyone you know, two degrees away from everyone they know.”(Smith, 2008) This is where Kevin Bacon comes into it. The idea was to link actors in six degrees or less to Kevin Bacon by looking at movies they had been in together or had the same co-stars.

This picture shows all the different actors who have a tie to Kevin Bacon. https://luckyottershaven.com/2016/05/19/six-degrees-of-separation/

 

Kadushin, C. (2012). Understanding social networks: theories concepts and findings. Oxford: Oxford University Press.

Smith , D. (2008, August 02). Microsoft proves there are just six degrees of separation between us. Retrieved September 17, 2017, from https://www.theguardian.com/technology/2008/aug/03/internet.email

 

 

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. http://www.bethkanter.org/sna/

 

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. http://www.amadeus.com/blog/07/04/5-examples-predictive-analytics-travel-industry/

 

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.

Week 1: Linked

When I first started reading Linked by Barabasi, I was pleasantly surprised at how easy the book was to understand for someone who is just starting to understand networks. Barabasi talks about how networks are everywhere, even in science and math, which I was surprised about. For Barabasi to be able to relate phase transition when he talks about how physicists see connections to a sociologist seeing a community was really interesting. When I came into this course, my understanding of a network meant computers and the Internet, after reading Linked, I had learned that networks are so much more.

        In this picture, nodes and links are shown. It makes it easy to see that the links are what connects us (http://mathinsight.org/network_introduction)

Euler, who was a mathematician, introduced the idea of graph theory, which is composed of nodes and links; these are the basis of network theory. We can use nodes and links to talk about different networks. A computer is linked by wires; a business can be linked to other businesses and consumers. Barabasi talks about how if we are at a party and we don’t know anyone there, that humans have a desire to talk to each other so they will start having conversations with each other and form connections. In this situation the guests are the nodes and each time they interact with others, that would be a link. It relates to the idea that people in the U.S. can be connected by six handshakes, which is known as six degrees of separation. Networks are everywhere in our daily lives, they are what connects us to each other.

            In this picture, it shows the six degrees of separation. This picture shows the six in the middle and from there, many connections are shown between them. (http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-17752011000300009)

Networks have evolved throughout the years and they will continue to do so. There will be new technology and new ideas each year. Even since this book came out there have been many advances through the years. I am excited to see the many changes that are still to come. It goes to show that networks really are everywhere just as Barabasi suggests.

Week 1 blog: Linked

When I first started reading Linked by Barabasi, I was pleasantly surprised at how easy the book was to understand for someone who is just starting to understand networks. Barabasi talks about how networks are everywhere, even in science and math, which I was surprised about. For Barabasi to be able to relate phase transition when he talks about how physicists see connections to a sociologist seeing a community was really interesting. When I came into this course, my understanding of a network meant computers and the Internet, after reading Linked, I had learned that networks are so much more.

        In this picture, nodes and links are shown. It makes it easy to see that the links are what connects us (http://mathinsight.org/network_introduction)

Euler, who was a mathematician, introduced the idea of graph theory, which is composed of nodes and links; these are the basis of network theory. We can use nodes and links to talk about different networks. A computer is linked by wires; a business can be linked to other businesses and consumers. Barabasi talks about how if we are at a party and we don’t know anyone there, that humans have a desire to talk to each other so they will start having conversations with each other and form connections. In this situation the guests are the nodes and each time they interact with others, that would be a link. It relates to the idea that people in the U.S. can be connected by six handshakes, which is known as six degrees of separation. Networks are everywhere in our daily lives, they are what connects us to each other.

            In this picture, it shows the six degrees of separation. This picture shows the six in the middle and from there, many connections are shown between them. (http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-17752011000300009)

Networks have evolved throughout the years and they will continue to do so. There will be new technology and new ideas each year. Even since this book came out there have been many advances through the years. I am excited to see the many changes that are still to come. It goes to show that networks really are everywhere just as Barabasi suggests.

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