The graph represents a network of 533 Twitter users whose recent tweets contained "#RSNA20", 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 Wednesday, 25 November 2020 at 02:27 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 15-minute period from Monday, 16 November 2020 at 07:00 UTC to Wednesday, 25 November 2020 at 02:15 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 : 533
Unique Edges : 861
Edges With Duplicates : 493
Total Edges : 1354
Number of Edge Types : 5
Mentions : 230
Tweet : 260
Retweet : 474
MentionsInRetweet : 376
Replies to : 14
Self-Loops : 265
Reciprocated Vertex Pair Ratio : 0.0482921083627797
Reciprocated Edge Ratio : 0.0921348314606742
Connected Components : 77
Single-Vertex Connected Components : 55
Maximum Vertices in a Connected Component : 368
Maximum Edges in a Connected Component : 1091
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.569545
Graph Density : 0.00313870981393446
Modularity : 0.529621
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 533 Twitter users whose recent tweets contained "#RSNA20", 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 Wednesday, 25 November 2020 at 02:27 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 15-minute period from Monday, 16 November 2020 at 07:00 UTC to Wednesday, 25 November 2020 at 02:15 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 : #RSNA20
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[92] #rsna20,#radiology [68] looking,forward [67] learn,more [52] rsna,virtual [46] members,membership [46] membership,free [45] #rsna20,learn [43] thanks,rsna [43] rsna,making [43] making,registration Top Word Pairs in Tweet in G1:
[38] looking,forward [36] rsna,virtual [32] thanks,rsna [32] rsna,making [32] making,registration [32] registration,free [32] free,members [32] members,membership [32] membership,free [32] free,#radres Top Word Pairs in Tweet in G2:
[16] annual,meeting [16] #rt,rsna [15] rsna,annual [15] #rsna20,imaging [15] #radaichat,tweet [15] tweet,chat [15] chat,wed [15] wed,dec [15] dec,8pm [13] meeting,badges Top Word Pairs in Tweet in G3:
[14] virtual,booth [10] learn,more [6] virtually,#rsna20 [6] #rsna20,november [5] attending,#rsna20 [5] november,29 [5] 29,december [5] december,2020 [5] virtual,#rsna20 [5] during,#rsna20 Top Word Pairs in Tweet in G4:
[30] ecosystem,#rsna20 [24] medical,imaging [23] see,nvidia [23] nvidia,working [23] working,research [23] research,institutions [23] institutions,hospitals [23] hospitals,#ai [23] #ai,startups [23] startups,bring Top Word Pairs in Tweet in G5:
[20] covid,19 [19] road,rsna [16] women's,imaging [14] #rsna20,meeting [14] rsna,preview [12] virtual,#rsna20 [11] artificial,intelligence [10] upcoming,virtual [9] topics,#rsna20 [9] according,road Top Word Pairs in Tweet in G6:
[9] learn,more [7] #rsna20,november [5] konica,minolta [5] mammography,practice [5] schedule,meeting [5] november,29th [5] 29th,december [5] december,5th [4] visit,#rsna20 [4] attending,#rsna20 Top Word Pairs in Tweet in G7:
[11] learn,more [7] book,meeting [5] accelerated,protocols [5] demo,#rsna20 [5] go,#rsna20 [5] schedule,meeting [4] #subtlepet,#ai [4] dasa's,head [4] head,#ai [4] #ai,felipekitamura Top Word Pairs in Tweet in G8:
[25] #digitalhealth,#rsna20 [25] #rsna20,#radiology [22] nnox,#digitalhealth [21] nanox,innovation [21] innovation,100 [21] 100,million [21] million,nano [21] nano,cones [21] cones,silicon [21] silicon,chip Top Word Pairs in Tweet in G9:
[13] educational,exhibit [10] acute,leukemia [9] numb,chin [9] chin,syndrome [9] syndrome,due [9] due,leukemia [9] leukemia,infiltrating [9] infiltrating,inferior [9] inferior,alveolar [9] alveolar,nerve Top Word Pairs in Tweet in G10:
[8] learn,philips [6] #cme20,learn [6] philips,kees [6] kees,wesdorp [6] wesdorp,healthcare [6] healthcare,drive [6] drive,sustainable [6] sustainable,change [6] change,adopting [6] adopting,circular Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: