Post and Review a Social Network Graph Here! by James Cook https://padlet.com/James_Cook/c6i8kvmncw95 Your marching orders for this week: head out onto the internet (Google Images at http://images.google.com is a good place to start) and find an image of a network graph from somewhere out there in the Internet. Pin the image onto this Padlet by clicking the "chain link" icon and entering the URL (web address) of that image. Then review the image in terms of the quality of the visualization: does the visualization follow Kozo Sugiyama's guidelines? Regardless, do you think it is a good/sensible/useful visualization or a poor/confusing/useless one? Why is that? en-us 2016-10-11 02:27:18 UTC 2023-01-26 21:30:57 UTC hello@padlet.com http://d262le4z25sx36.cloudfront.net/portraits/announcement.jpg Electra https://padlet.com/James_Cook/c6i8kvmncw95/wish/196113553 I found this image on google and I choose to include it because it was much simpler and easier to understand then most of the other network graphs available. Starting off with the first of Kozo Sugiyama's guidelines it doesn't have completely straight lines, they have a slight curve to them. I think it follows the second guideline that says the lines should be far apart, they seem to have a good equal distance between them. The lines do cross or touch in some places so guideline three doesn't fit. The lines are easy to follow, and connecting nodes are fairly close to one another. It seems like there isn't one most central node, they are all just evenly spaced out. And the network graph seems to follow the last guideline as well. I find this to be a good visualization, the only thing I dislike about it is that there are quote bubbles over all of the people and it gets in the way of some of the lines. There should be a place to write in names under the person instead. ]]> 2017-10-11 16:39:44 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/196113553 Scorpius https://padlet.com/James_Cook/c6i8kvmncw95/wish/196248635 https://griffsgraphs.files.wordpress.com/2012/07/basketball_players_label_lowres.jpg 
Lot of straight lines when zooming in.  Lines are pretty close to each other, cross, and I think hard to follow.  Connecting nodes are all over.  It appears similar nodes are close to one another.  
This graph is connecting basketball players.  The nodes are clustered by current teams.  They are connected if they played with the other athlete on the same team at any one time.  I don't see what the benefit could be to this graph.  Players that have been on many teams could mean something to someone.  Node size is helpful.  Lot of lines is intimidating.
The author has other graphs if anyone is interested, on his site.]]> 2017-10-12 00:18:42 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/196248635 Cambridge Poker/Twitter Network tamee_coitrone https://padlet.com/James_Cook/c6i8kvmncw95/wish/196266510 This network has a majority of straight lines, however, they consistently cross over one another.  They certainly are not far apart from one another. This makes the ties very difficult to follow. It is also difficult to determine which node is the most central as they are arranged in a cluster. I do not think that this is a sensible visualization and is very confusing because it is so complex. There are SO many ties and nodes. And because it seems that most of the nodes are connected to multiple nodes, the lines crossing over make it difficult to follow. ]]> 2017-10-12 02:42:03 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/196266510 Lacerta https://padlet.com/James_Cook/c6i8kvmncw95/wish/196857292 I picked this picture off of google image because it is a good breakdown of multiple different websites and how they are all connected to each other. I know personally I always enjoy when I can find things on Facebook and the link to Pinterest is there and I can easily pin it to my Pinterest. The lines are definitely easy to follow, are straight and the nodes that are connected are close to each other. I think that this is good and sensible visualization! The pictures of the websites logo also helps as nodes. ]]> 2017-10-13 15:22:06 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/196857292 HAP https://padlet.com/James_Cook/c6i8kvmncw95/wish/196971568 This social network image I found to be useful because it looks a lot like the ones we have made in the past. It is a little difficult to follow because there are many nodes, and the lines are not straight as Kozo suggests they should be. These nodes are also made to have a picture of the person rather than their name which could be confusing.]]> 2017-10-13 20:48:48 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/196971568 Spica https://padlet.com/James_Cook/c6i8kvmncw95/wish/196978376 This image shows which mega-companies own other smaller companies. I have seen this image time and again, and I have always considered it to be the type of image that is sort of confusing. This image shows that 7 major companies own dozens of other smaller companies. Whenever I've seen images like this, I always think of the term "monopoly" because it really does show how many individual nodes are owned (or directed) by so few other nodes. Understanding social networks help me to understand these ties and connections between companies.
I think this model generally follows Sugiyama's guidelines, being that the ties are quite clear, but the problem with those guidelines is that it becomes much, much more difficult to comply when you begin adding more and more nodes and ties. You simply cannot expect a network with this many connections to be what Sugiyama demands.
I think this is a good representation of a social network graph because it shows which companies are owned, which companies own, and which companies that own and are owned.]]> 2017-10-13 21:41:11 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/196978376 Tucana https://padlet.com/James_Cook/c6i8kvmncw95/wish/197041881 This is a simple network graph. It has clearly labeled nodes, and lines are straight. I think that this picture follows the guidelines fairly closely. With the exception of crossed lines, I do not think this makes it confusing though I can still clearly make out all the intended connections. I think it is very clear, and simple (it does help to have the edge list and node labels off to the side) but even without referencing these I think the point gets across. ]]> 2017-10-14 16:17:05 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/197041881 Libra---Griff's Facebook Connections https://padlet.com/James_Cook/c6i8kvmncw95/wish/197138574 I think this graph is a great one, and on his page he has some others that he has done that are sub-categories of this, like males only. It truly groups his range of friends, the red being high school friends (with obviously many ties between those ones because they all went to school together, the blue being his college friends and the obvious increased ties between them for the same reason as the red, the yellow are his girlfriends friends that he has made friends with all the way-can see how he met his girlfriend in college and her friends are separate than those or his high school friends as they are probably from another area separate than high school and college. And the smaller groups are people he has met from trips and networking along the way. The clusters are clearly defined, the colors relational, and it's overall visual appearance is organized and flows. Almost none of the Kozo guidelines are 100% applicable but close...like the lines are a "line" that is straight but the slight curve is needed to show multiple ties without crossing other as much as possible. Very Cool. https://griffsgraphs.wordpress.com/tag/social-network/]]> 2017-10-15 17:43:05 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/197138574 Sagitta https://padlet.com/James_Cook/c6i8kvmncw95/wish/197141938 I realize that one of my classmates already posted a network graph similar to the one I chose, but this one is a little different. For starters, the network graph below is a graph without direction. Although the two graphs include nodes with the same names, having no direction is the main difference. 
I do believe the network graph I chose to display follows Kozo Sugiyama's guidelines-- visually and technically. I wanted to find a simple graph to share and I feel as though this one is very easy to understand. Having a list of the nodes and edges present also makes it super easy to follow the graph!]]> 2017-10-15 18:14:16 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/197141938 Alchiba https://padlet.com/James_Cook/c6i8kvmncw95/wish/197157079 I've found this network graph which I really like because it is so simple! It is easy to see the connections between the nodes. I have looked at other network graphs from students and some of them seem so complex! I think this graph is perfect for someone who is just learning about network graphs. I do believe that it follows Kozo Sugiyama's guidelines. I think it is a good network and is easy to follow.]]> 2017-10-15 20:24:11 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/197157079 Vega https://padlet.com/James_Cook/c6i8kvmncw95/wish/197162218 I think the following network graph is supposed to represent the relationships between the characters in the "Wizard of Oz". I found that it violates several of Sugiyama's guidelines. First of all the lines are not straight. The lines are not far apart and they certainly touch and cross each other. I also think it is difficult to see where all the lines go even though they are in different colors. Looks confusing to me...would be even more so if I hadn't seen the movie!  ]]> 2017-10-15 21:08:37 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/197162218 Antares https://padlet.com/James_Cook/c6i8kvmncw95/wish/197165697 Shown below is a graph for network visualization.  It reflects a study on reshipping scams and from what I can see, follows Kozo's rules about graph:
1. Lines are straight.
2. Lines are far apart (for the most part) from one another.
3. Lines do not cross or touch.
4. Lines are easy to follow from one node to another.
5. Nodes that connect are close.
6. Nodes that are most central are close to the center
7.  Nodes that are similar are in a way placed nearby each other such as the cities in relation to the USA node.

I like this example because it shows how what we learned in class can be applied in the work force.]]> 2017-10-15 21:38:51 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/197165697 image of a network... https://padlet.com/James_Cook/c6i8kvmncw95/wish/197180826 This week, I have a network graph of different brands. There's no color, so there isn't much visualizing. It isn't great to look at, and the ties can become confusing because there isn't much to differentiate from.
For the most part, this network follows Kozo's rules.
1. Lines are straight (yes)
2. Lines are far apart from one another (sort of. they are kind of close, but the network stretches)
3. Lines don't cross or touch (yes)
4. Lines are easy to follow from one node to another (for the most part-color might help this)
5. Nodes that connect are close (yes)
6. Nodes that are most central are close to the center (the central node is leaning left)
7. Nodes that are similar are in a way placed nearby each other (yes)

I don't like the lack of color-it makes following the lines kind of difficult. I do like how they connect each brand to one another and the data it implies-like how Apple and Samsung are connected.
-Betelgeuse]]> 2017-10-16 00:07:55 UTC https://padlet.com/James_Cook/c6i8kvmncw95/wish/197180826 Ragusor https://padlet.com/James_Cook/c6i8kvmncw95/wish/197633631 ~
 

1. Lines should be straight. (Yes)
 2. Lines should be far apart from one another. (For the most part yes they are. In certain areas they are not)
 3. Lines should not cross or touch. (Yes)
 4. Lines should be easy to follow from one node to another. (Yes color helps with this)
 5. Nodes that connect should be close. (Yes)
 6. Nodes that are most central should be close to the center of the graph. (Yes the central node is center)
 7. Nodes that are similar in some way should be placed nearby one another. (Yes) 

I really liked how this network graph showed plenty of color. This made it easier for me to understand the difference. This graph represents a twitter network graph and @walmart tweets. As you can see it has a strong connection with huggies. This graph is used to study interactions over social media. I found this one to be very interesting because I am a twitter person myself.
~
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