The graph represents a network of 102 Twitter users whose recent tweets contained "#OpenSourceResearch", 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, 06 January 2020 at 21:35 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 26-minute period from Monday, 30 December 2019 at 19:48 UTC to Monday, 06 January 2020 at 17:14 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 : 102
Unique Edges : 386
Edges With Duplicates : 316
Total Edges : 702
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0.084051724137931
Reciprocated Edge Ratio : 0.15506958250497
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 89
Maximum Edges in a Connected Component : 669
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.188133
Graph Density : 0.0488254707823724
Modularity : 0.387297
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 102 Twitter users whose recent tweets contained "#OpenSourceResearch", 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, 06 January 2020 at 21:35 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 26-minute period from Monday, 30 December 2019 at 19:48 UTC to Monday, 06 January 2020 at 17:14 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 : #OpenSourceResearch
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:
[42] patient,reported [42] reported,outcome [41] #opensourceresearch,project [40] scientific,researches [29] #some4,#some4pedsurg [29] #some4pedsurg,#globalsurgery [29] #globalsurgery,#some4iqlatam [29] #some4surgleadership,#ehealth [29] #ehealth,#pediatricsurgery [29] #pediatricsurgery,#opensourceresearch Top Word Pairs in Tweet in G1:
[39] patient,reported [39] reported,outcome [38] #opensourceresearch,project [36] scientific,researches [24] colorectal,surgery [20] 1,eortc [20] eortc,qlq [18] outcome,measures [18] first,#opensourceresearch [17] believe,international Top Word Pairs in Tweet in G2:
[6] #some4,#some4pedsurg [6] #some4pedsurg,#globalsurgery [6] #globalsurgery,#some4iqlatam [6] #some4surgleadership,#ehealth [6] #ehealth,#pediatricsurgery [6] #pediatricsurgery,#opensourceresearch [5] #some4iqlatam,#precisionsurgery [5] #precisionsurgery,#some4precision [5] #some4precision,#some4surgleadership [4] scientific,researches Top Word Pairs in Tweet in G3:
[22] #some4,#some4pedsurg [22] #some4pedsurg,#globalsurgery [22] #globalsurgery,#some4iqlatam [22] #some4surgleadership,#ehealth [22] #ehealth,#pediatricsurgery [22] #pediatricsurgery,#opensourceresearch [19] #some4surgery,#some4hpb [19] #some4hpb,#some4 [14] #some4iqlatam,#precisionsurgery [14] #precisionsurgery,#some4precision Top Word Pairs in Tweet in G4:
[6] breast,cancer [3] fibroidsupport,amizota [3] amizota,sciam [3] sciam,larabriden [3] larabriden,notofibroids [3] notofibroids,des_journal [3] des_journal,fertstert [3] fertstert,endorescenter [3] endorescenter,study [3] study,india 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: