The graph represents a network of 92 Twitter users whose tweets in the requested range contained ""Wasim Ahmed" OR was3210 ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 21 September 2020 at 10:35 UTC.
The requested start date was Monday, 21 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 8-hour, 55-minute period from Monday, 07 September 2020 at 13:12 UTC to Sunday, 20 September 2020 at 22:08 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 : 92
Unique Edges : 115
Edges With Duplicates : 103
Total Edges : 218
Number of Edge Types : 5
Replies to : 26
Retweet : 34
MentionsInRetweet : 45
Tweet : 21
Mentions : 92
Self-Loops : 22
Reciprocated Vertex Pair Ratio : 0.125984251968504
Reciprocated Edge Ratio : 0.223776223776224
Connected Components : 8
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 73
Maximum Edges in a Connected Component : 187
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.374306
Graph Density : 0.0170807453416149
Modularity : 0.423723
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 92 Twitter users whose tweets in the requested range contained "%22Wasim Ahmed%22 OR was3210 ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 21 September 2020 at 10:35 UTC.
The requested start date was Monday, 21 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 8-hour, 55-minute period from Monday, 07 September 2020 at 13:12 UTC to Sunday, 20 September 2020 at 22:08 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 : GraphServerTwitterSearch
Graph Term : %22Wasim Ahmed%22 OR was3210
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[20] social,media [17] wasim,ahmed [17] special,issue [14] public,disclosure [12] disclosure,social [12] media,identifiable [12] identifiable,patient [12] patient,information [12] information,health [12] health,professionals Top Word Pairs in Tweet in G1:
[9] social,media [5] special,issue [4] covid,19 [4] peterabath,eglu81 [3] public,disclosure [3] jmirpub,paper [3] thank,very [3] very,much [3] democratisation,knowledge [3] happy,birthday Top Word Pairs in Tweet in G2:
[11] public,disclosure [10] content,analysis [10] disclosure,social [10] social,media [10] media,identifiable [10] identifiable,patient [10] patient,information [10] information,health [10] health,professionals [10] professionals,content Top Word Pairs in Tweet in G3:
[8] special,issue [6] guest,editing [6] editing,was3210 [6] was3210,special [6] issue,international [6] international,journal [6] journal,environmental [6] environmental,research [6] research,public [6] public,health Top Word Pairs in Tweet in G4:
[2] book,strategic [2] strategic,digital [2] digital,transformation [2] transformation,20 [2] 20,discount [2] discount,code [2] code,see [2] see,details [2] special,issue Top Word Pairs in Tweet in G5:
[3] assalamu,alaikum [3] alaikum,allah [3] allah,blessing [3] blessing,wasim [3] wasim,ahmed [3] ahmed,india [3] india,field [3] field,social [3] social,welfare [3] welfare,activities Top Word Pairs in Tweet in G6:
[3] क,क [3] ह,ए [3] न,म [3] एक,एप [3] एप,स [3] स,ड [3] द,ख [3] ख,ल [3] ल,ज [3] ज,ए Top Word Pairs in Tweet in G8:
[9] wasim,ahmed [6] 3rd,xi [5] xi,phoeni [4] phoeni,phoeni [3] ov,ahmed [2] ahmed,wasim [2] 1st,xi [2] xi,meakin [2] meakin,meakin [2] phoeni,205 Top Word Pairs in Tweet in G9:
[4] uttar,pradesh [4] pradesh,dinesh [4] dinesh,rawat [4] rawat,actual [4] actual,name [4] name,wasim [4] wasim,ahmed [4] ahmed,obtains [4] obtains,fake [4] fake,identity Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 G7:
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: