Name: Yige (Will) Wan
Class: EM 797
Date: 10/16/2018
The graph I chose represents a network of 1,877 Twitter users whose recent tweets contained “#AoIR2018 OR #AoIR18”, or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 15 October 2018 at 19:28 UTC. The tweets in the network were tweeted over the 10-day, 10-hour, 39-minute period from Friday, 05 October 2018 at 08:25 UTC to Monday, 15 October 2018 at 19:05 UTC.
Webpage for this graph: https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=171504
More about the topic: AolR stands for the Association of Internet Researchers, which held a conference at Montreal, Canada, 10 – 13 October 2018. The information in the graph grabbed from Twitter is on 15 October, which is the day right after the conference.
This graph belongs to community clustered type mentioned in Smith and his colleagues’ article. Community cluster features a collection of medium sized groups, compared to the feature of brand cluster, in which most of the Twitter users are unconnected. In the chosen graph, the G1 to G6 can be seen as 6 medium sized groups under the Internet researcher community. At the same time, there are a fair number of isolates (the lower right corner of the picture).
The subject “2018 Association of Internet Researchers Conference” ignited multiple conversations, each cultivating its own audience and community. According to the top URLs of each group, the Group 1 is about some general information about the conference, like asking for proposal, map to the conference hall, etc. From Group 2, there are more content related to the topics discussed on the conference. For example, people discussed sociotechnical models of media effects to explain why do people share fake news in Group 2; “how can indigenous knowledge shape our view of AI” is paid great attention in Group 3; and “web archive data sets” is discussed in Group 4.
There is an edge for each “replies-to” relationship in a tweet, an edge for each “mentions” relationship in a tweet, and a self-loop edge for each tweet that is not a “replies-to” or “mentions”.
The second graph I chose represents a network of 4,688 Twitter users whose tweets in the requested range contained “DietCoke OR MyCokeRewards OR cokezone OR CokeZero OR CocaCola OR CocaColaCo OR WorldofCocaCola”, or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 15 October 2018 at 10:50 UTC. The requested start date was Monday, 15 October 2018 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 1-day, 1-hour, 38-minute period from Saturday, 13 October 2018 at 08:17 UTC to Sunday, 14 October 2018 at 09:56 UTC.
Webpage for this graph: https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=171460
More about the topic of the graph: this is about the brand CocaCola and its newly-released beverage called CRAFTEA in Japan. Usually speaking, this graph belongs to brand clusters type, in which there is often commentary from many disconnected participants when well-known products or services or popular subjects like celebrities are discussed on Twitter. Compared to the standard situation, this graph is quite unusually, since there is a major group 1 in the middle around the topic of CRAFTEA of Cocacola. However, the rest parts of the graph correspond to the standard brand clusters type. The well-known brand CocaCola can attract large fragmented Twitter populations who tweet about the same brand but not to each other.
The 6 major Twitter topic Networks mentioned in Smith and his colleagues’ article cannot include all types of specific or unusual situations like this. During a specific time period, like a new product released, or breaking news coming out, the major network types would be effected and change into a more detailed version under different circumstances.
There is an edge for each “replies-to” relationship in a tweet, an edge for each “mentions” relationship in a tweet, and a self-loop edge for each tweet that is not a “replies-to” or “mentions”.
The major users or the influencers in this graph are @kochakaden_1992, which is the official Twitter account for the new product CRAFTEA; the second and third ranking influencers are almost all the coca cola related twitter accounts, like @cocacola, the official Twitter account of the brand, and @cocacola_es, official Twitter account of the brand in Spanish.
All in all, the six types of Twitter conversations can represent the majority of situations. While under specific circumstances, there might be differences based on the original six types.