The graph represents a network of 271 Twitter users whose recent tweets contained "#CCFICDS2020", 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 Friday, 28 February 2020 at 07:55 UTC.
The tweets in the network were tweeted over the 5-day, 19-hour, 14-minute period from Saturday, 22 February 2020 at 12:39 UTC to Friday, 28 February 2020 at 07:53 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 271
Unique Edges : 1461
Edges With Duplicates : 1876
Total Edges : 3337
Self-Loops : 16
Reciprocated Vertex Pair Ratio : 0.0915609487038059
Reciprocated Edge Ratio : 0.167761495704901
Connected Components : 4
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 268
Maximum Edges in a Connected Component : 3334
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.195609
Graph Density : 0.0270466037993713
Modularity : 0.222296
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 271 Twitter users whose recent tweets contained "#CCFICDS2020", 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 Friday, 28 February 2020 at 07:55 UTC.
The tweets in the network were tweeted over the 5-day, 19-hour, 14-minute period from Saturday, 22 February 2020 at 12:39 UTC to Friday, 28 February 2020 at 07:53 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #CCFICDS2020
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[171] #ccficds2020,jerusalem [99] #ccficds2020,swexner [93] cleveclinicfl,#ccficds2020 [61] cleveclinicfl,#colorectalsurgery [59] gt,400 [59] gt,40 [59] 40,countries [53] rectal,cancer [51] 400,attendees [51] attendees,gt Top Word Pairs in Tweet in G1:
[51] #ccficds2020,swexner [51] #ccficds2020,jerusalem [40] gt,400 [40] gt,40 [40] 40,countries [37] 400,attendees [37] attendees,gt [32] cleveclinicfl,#ccficds2020 [31] countries,cleveclinicfl [31] annual,international Top Word Pairs in Tweet in G2:
[49] #ccficds2020,jerusalem [22] cleveclinicfl,#colorectalsurgery [22] cleveclinicfl,#ccficds2020 [12] #colorectalsurgery,alumnus [9] surgery,#ccficds2020 [9] dr_samehhany81,cleveclinicfl [8] worldjsurg,eaes_eu [8] alumnus,3isac [8] geriatric,patients [8] patients,#ccficds2020 Top Word Pairs in Tweet in G3:
[35] #ccficds2020,jerusalem [23] swexner,venky72 [21] cleveclinicfl,#ccficds2020 [14] #ccficds2020,swexner [13] dr,sam [13] sam,agarwal [13] venky72,marianaberho [12] venky72,deliacortesguir [12] gives,glimpse [12] rectal,cancer Top Word Pairs in Tweet in G4:
[36] #ccficds2020,jerusalem [28] #ccficds2020,swexner [21] cleveclinicfl,#colorectalsurgery [18] cleveclinicfl,#ccficds2020 [13] habr,gama [11] #colorectalsurgery,alumnus [9] swexner,cleveclinicfl [9] annual,international [9] rectal,cancer [8] gt,400 Top Word Pairs in Tweet in G5:
[2] international,colorectal [2] colorectal,disease [2] disease,symposium [2] symposium,#ccficds2020 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5: