The graph represents a network of 357 Twitter users whose tweets in the requested range contained "#SMProfs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 09 November 2021 at 21:51 UTC.
The requested start date was Tuesday, 09 November 2021 at 15:49 UTC and the maximum number of tweets (going backward in time) was 10,000.
The tweets in the network were tweeted over the 69-day, 2-hour, 2-minute period from Wednesday, 01 September 2021 at 11:08 UTC to Tuesday, 09 November 2021 at 13:10 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 : 357
Unique Edges : 649
Edges With Duplicates : 4982
Total Edges : 5631
Number of Edge Types : 5
Retweet : 619
MentionsInRetweet : 3002
Mentions : 1851
Replies to : 17
Tweet : 142
Self-Loops : 160
Reciprocated Vertex Pair Ratio : 0.0921926910299003
Reciprocated Edge Ratio : 0.168821292775665
Connected Components : 12
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 334
Maximum Edges in a Connected Component : 5613
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.681427
Graph Density : 0.0103468353633588
Modularity : 0.127108
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 357 Twitter users whose tweets in the requested range contained "#SMProfs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 09 November 2021 at 21:51 UTC.
The requested start date was Tuesday, 09 November 2021 at 15:49 UTC and the maximum number of tweets (going backward in time) was 10,000.
The tweets in the network were tweeted over the 69-day, 2-hour, 2-minute period from Wednesday, 01 September 2021 at 11:08 UTC to Tuesday, 09 November 2021 at 13:10 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 : #SMProfs
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:
[144] nodexl,jeremyhl [134] #smprofs,#prprofs [133] nodexl,docassar [132] #smle2022,#smc2021 [128] michaelbathurst,jeremyhl [126] docassar,jeremyhl [122] docassar,thartman2u [119] jeremyhl,michaelbathurst [114] jeremyhl,nodexl [96] #aejmc2021,nodexl Top Word Pairs in Tweet in G1:
[79] #smle2022,#smc2021 [66] #smc2021,#smprofs [63] #smprofs,#prprofs [22] jeremyhl,docassar [22] nodexl,aejmc [22] docassar,thartman2u [21] michaelbathurst,jeremyhl [19] jeremyhl,nodexl [19] nodexl,jeremyhl [18] michaelbathurst,thartman2u Top Word Pairs in Tweet in G2:
[110] nodexl,docassar [107] nodexl,jeremyhl [97] docassar,jeremyhl [90] jeremyhl,michaelbathurst [87] michaelbathurst,jeremyhl [83] #aejmc2021,nodexl [82] docassar,thartman2u [77] #ff,mt [76] jeremyhl,nodexl [53] rootnk,#ff Top Word Pairs in Tweet in G3:
[24] #smprofs,#prprofs [13] #smprofs,#frebergpr [10] social,media [10] fyi,#smprofs [8] fellow,#smprofs [5] smsc,2e [5] #smprofs,#marketingtwitter [5] metaverse,marketing [5] marketing,podcast [5] podcast,defining Top Word Pairs in Tweet in G4:
[20] public,affairs [18] social,digital [18] digital,media [18] digital,communication [18] affairs,politics [18] politics,focus [17] work,bamaapr [17] bamaapr,positions [17] positions,open [17] open,digital Top Word Pairs in Tweet in G5:
[23] #smle2022,#smc2021 [21] nodexl,aejmc [21] #smprofs,#prprofs [18] aejmc,nodexl [18] hashtags,#smprofs [18] #smc2021,#smle2022 [16] nodexl,jeremyhl [14] jeremyhl,docassar [14] michaelbathurst,thartman2u [14] jeremyhl,michaelbathurst Top Word Pairs in Tweet in G6:
[10] michaelbathurst,jeremyhl [8] nodexl,michaelbathurst [8] jeremyhl,nebraskasower [7] thartman2u,rootnk [5] thartman2u,reutsmichael1 [5] docassar,thartman2u [5] jeremyhl,nodexl [5] nebraskasower,thartman2u [4] rootnk,#ff [4] #ff,mt Top Word Pairs in Tweet in G7:
[4] hiring,assistant [4] assistant,professor [4] professor,social [4] social,media [4] media,digital [4] digital,activism [4] activism,focus [4] focus,latino [4] latino,studies [4] studies,join Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 G7:
Top Mentioned in G9:
Top Mentioned in G10:
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:
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Top Tweeters in G9:
Top Tweeters in G10: