The graph represents a network of 32 Twitter users whose recent tweets contained "#pafow", 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, 10 February 2020 at 01:17 UTC.
The tweets in the network were tweeted over the 4-day, 6-hour, 1-minute period from Tuesday, 04 February 2020 at 08:09 UTC to Saturday, 08 February 2020 at 14:10 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 : 32
Unique Edges : 40
Edges With Duplicates : 75
Total Edges : 115
Number of Edge Types : 5
Mentions : 59
Retweet : 4
MentionsInRetweet : 34
Replies to : 14
Tweet : 4
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 31
Maximum Edges in a Connected Component : 114
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.611227
Graph Density : 0.0514112903225806
Modularity : 0.291456
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 32 Twitter users whose recent tweets contained "#pafow", 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, 10 February 2020 at 01:17 UTC.
The tweets in the network were tweeted over the 4-day, 6-hour, 1-minute period from Tuesday, 04 February 2020 at 08:09 UTC to Saturday, 08 February 2020 at 14:10 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 : TwitterSearch
Graph Term : #pafow
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:
[13] redthreadre,staciagarr [11] staciagarr,aladamsen [11] aladamsen,david_green_uk [9] kathi_enderes,#pafow [7] #peopleanalytics,tech [6] #hrtech,#employeeexperience [6] #hranalytics,#hcmcloud [6] #hr,#hrtransformation [6] #oatug,#c20lv [6] #pafow,#futureofwork Top Word Pairs in Tweet in G2:
[13] redthreadre,staciagarr [11] staciagarr,aladamsen [11] aladamsen,david_green_uk [7] #peopleanalytics,tech [6] #hrtech,#employeeexperience [6] #hranalytics,#hcmcloud [6] #oatug,#c20lv [6] #hr,#hrtransformation [6] #hcmcloud,#unleash19 [5] staciagarr,redthreadre Top Word Pairs in Tweet in G3:
[6] kathi_enderes,#pafow [5] #pafow,#peopleanalytics [4] job,design [4] #futureofwork,kathi_enderes [3] lessons,learned [3] learned,implementing [3] implementing,workforce [3] workforce,dashboards [3] dashboards,adoption [3] adoption,design Top Word Pairs in Tweet in G4:
[4] #pafow,#futureofwork [2] kathi_enderes,#pafow [2] jeffreypfeffer,#pafow [2] kathi_enderes,bersin [2] bersin,#pafow [2] david_green_uk,future [2] future,#hrtech [2] #hrtech,developing [2] developing,human [2] human,being Top Replied-To in Entire Graph:
Top Replied-To in G2:
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:
Top Tweeters in G5: