The graph represents a network of 208 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, 27 January 2020 at 10:56 UTC.
It adds to maps extracted up to the morning of 16 January 2020: http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=220066
Note that there are gaps in these extracts - tweets posted 17-18 January 2020 inclusive do not appear to be available to either NodeXL or TAGS even though they are visible in a Twitter search. These could be extracted manually and added, with retweets identified using methods described here: https://scotpublichealth.com/2019/12/13/one-step-beyond-mapping-older-tweets-and-retweets/
I was not able to run the extract on 26 January because I was on clinical duties. These tweets and retweets could also be extracted manually using these methods.
The tweets in the network were tweeted over the 7-day, 22-hour, 26-minute period from Sunday, 19 January 2020 at 11:46 UTC to Monday, 27 January 2020 at 10:13 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 : 317
Unique Edges : 1534
Edges With Duplicates : 5066
Total Edges : 6600
Self-Loops : 56
Reciprocated Vertex Pair Ratio : 0.106594399277326
Reciprocated Edge Ratio : 0.19265306122449
Connected Components : 15
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 279
Maximum Edges in a Connected Component : 6520
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.237331
Graph Density : 0.0244579323563471
Modularity : 0.158014
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 208 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, 27 January 2020 at 10:56 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 26-minute period from Sunday, 19 January 2020 at 11:46 UTC to Monday, 27 January 2020 at 10:13 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:
[179] #opensourceresearch,project [144] j_rosellon,monicamillan72 [104] reported,outcome [102] eortc,qlq [99] colorectal,surgery [96] gae_gallo,ionutnegoi [90] ionutnegoi,monicamillan72 [83] patient,reported [73] #some4,#some4pedsurg [73] #some4surgleadership,#ehealth Top Word Pairs in Tweet in G1:
[111] j_rosellon,monicamillan72 [73] #opensourceresearch,project [46] eortc,qlq [45] #opensourceresearch,#some4surgery [40] follow,up [40] #some4surgery,#osrweek2 [37] #opensourceresearch,#osrweek2 [36] #colorectalsurgery,#ibd [34] reported,outcome [34] hashtag,#opensourceresearch Top Word Pairs in Tweet in G2:
[69] #some4,#some4pedsurg [69] #some4surgleadership,#ehealth [69] #ehealth,#pediatricsurgery [69] #pediatricsurgery,#opensourceresearch [55] #some4surgery,#some4hpb [55] #some4hpb,#some4 [50] #some4precision,#some4surgleadership [43] #some4pedsurg,#globalsurgery [43] #globalsurgery,#some4iqlatam [35] #some4iqlatam,#precisionsurgery Top Word Pairs in Tweet in G3:
[50] #opensourceresearch,project [41] ionutnegoi,monicamillan72 [40] gae_gallo,ionutnegoi [36] colorectal,surgery [35] reported,outcome [27] monicamillan72,mostafashalaby [27] eortc,qlq [25] patient,reported [24] project,2 [23] escp_tweets,gae_gallo Top Word Pairs in Tweet in G4:
[35] #opensourceresearch,project [25] reported,outcome [21] patient,reported [21] colorectal,surgery [21] gae_gallo,ionutnegoi [20] ionutnegoi,monicamillan72 [15] j_rosellon,monicamillan72 [14] project,2 [14] monicamillan72,mostafashalaby [14] escp_tweets,gae_gallo Top Word Pairs in Tweet in G5:
[4] grave,fraudulence [4] fraudulence,medical [4] medical,device [4] device,research [4] research,narrative [4] narrative,review [4] review,pin [4] pin,seeding [4] seeding,study [4] study,pinnacle Top Word Pairs in Tweet in G6:
[8] breast,cancer [4] fibroidsupport,amizota [4] amizota,sciam [4] sciam,larabriden [4] larabriden,notofibroids [4] notofibroids,des_journal [4] des_journal,fertstert [4] fertstert,endorescenter [4] endorescenter,study [4] study,india Top Word Pairs in Tweet in G7:
[2] #opensource,#opensourceresearch Top Word Pairs in Tweet in G8:
[6] #developer,#students [6] #students,#education [6] #education,#elearning [6] #elearning,#javascript [6] #javascript,#opensourceresearch [6] #opensourceresearch,#devhoot [6] #devhoot,#youtube [6] #youtube,#tutorial [6] #tutorial,#programming [6] #programming,#codinglife Top Word Pairs in Tweet in G9:
[4] max,morgan [4] morgan,structural [4] structural,genomics [2] #opensourceresearch,change [2] change,#drugdiscovery [2] #drugdiscovery,protected [2] protected,max [2] genomics,dishing [2] dishing,up [2] up,#foodforthought Top Word Pairs in Tweet in G10:
[2] #linux,#unix [2] #unix,#devops [2] #devops,#fedora [2] #fedora,#debian [2] #debian,#ubuntu [2] #ubuntu,#monitoring [2] #monitoring,#opensourceresearch 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 Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G9:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: