The graph represents a network of 5,275 Twitter users whose tweets in the requested range contained "#nonprofit", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 March 2022 at 00:03 UTC.
The requested start date was Friday, 04 March 2022 at 01:01 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 8-day, 1-hour, 9-minute period from Wednesday, 23 February 2022 at 20:39 UTC to Thursday, 03 March 2022 at 21:48 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 : 5275
Unique Edges : 3105
Edges With Duplicates : 8725
Total Edges : 11830
Number of Edge Types : 5
Tweet : 3977
Retweet : 2884
MentionsInRetweet : 3556
Mentions : 1344
Replies to : 69
Self-Loops : 4054
Reciprocated Vertex Pair Ratio : 0.0393797686438592
Reciprocated Edge Ratio : 0.0757755150367038
Connected Components : 1989
Single-Vertex Connected Components : 1123
Maximum Vertices in a Connected Component : 721
Maximum Edges in a Connected Component : 3073
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.979465
Graph Density : 0.000151795358433665
Modularity : 0.41476
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,275 Twitter users whose tweets in the requested range contained "#nonprofit", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 March 2022 at 00:03 UTC.
The requested start date was Friday, 04 March 2022 at 01:01 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 8-day, 1-hour, 9-minute period from Wednesday, 23 February 2022 at 20:39 UTC to Thursday, 03 March 2022 at 21:48 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 : #nonprofit
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:
[437] forever,home [434] ready,forever [310] learn,more [287] chowder,ready [287] home,waiting [287] waiting,vet [287] vet,release [287] release,neuter [287] neuter,healed [287] healed,fractured Top Word Pairs in Tweet in G1:
[87] #charity,#nonprofit [84] learn,more [62] non,profit [56] link,bio [50] #nonprofit,#charity [42] #nonprofit,#education [40] #ngo,#charity [40] nuova,posizione [40] #lavoro,#nonprofit [36] #donate,#volunteer Top Word Pairs in Tweet in G2:
[429] ready,forever [429] forever,home [283] chowder,ready [283] home,waiting [283] waiting,vet [283] vet,release [283] release,neuter [283] neuter,healed [283] healed,fractured [282] for_bullies,chowder Top Word Pairs in Tweet in G3:
[133] #hr,#hrtech [123] #hrtech,#csr [99] #corpgov,#hr [98] #csr,#shrm [88] #shrm,#startup [82] #startup,#csuite [78] #legaltech,#salesforce [78] #wef,#corpgov [72] martinhoyes,#hranalytics [70] #hranalytics,#corpgov Top Word Pairs in Tweet in G4:
[58] #charity,#nonprofit [52] #nonprofit,#education [48] #ngo,#charity [43] #education,#donate [43] #donate,#volunteer [37] #india,#love [35] #volunteer,#help [35] #love,#support [31] #help,#india [31] #support,#covid Top Word Pairs in Tweet in G5:
[74] #pursueexcellence,#virginiabeach [73] #virginiabeach,#virginia [72] #virginia,#nonprofit [68] pursue,excellence [66] meet,freddy [66] freddy,founder [66] founder,pursue [66] excellence,#pursueexcellence [65] penonprofitva,meet [65] #nonprofit,#freddybar Top Word Pairs in Tweet in G6:
[104] #women,#empowerment [104] #empowerment,#empower [104] #empower,#inpower [98] #inpower,#mentor [98] #mentor,#speaker [94] #womensday,#leadership [70] womenascension,speaker [64] #speaker,#womensday [60] #job,#hiring [58] #referindia,#jobs Top Word Pairs in Tweet in G7:
[28] proper,learning [28] learning,understanding [28] understanding,leads [28] leads,development [28] development,#child [28] #child,#development [28] #development,#education [28] #education,#learning [28] #learning,#nonprofit [27] udyansh_society,proper Top Word Pairs in Tweet in G8:
[6] b4,shop [6] shop,#amazon [6] #amazon,listen [6] listen,original [6] original,jingle [6] fav,#charity [6] #charity,keep [6] keep,helping [6] helping,families [6] families,need Top Word Pairs in Tweet in G9:
[6] decision,making [5] #feedback,summit [5] making,more [4] listen4_good,participating [4] participating,#nonprofit [4] glad,jacksonville [4] jacksonville,week's [4] week's,feedbacklabs'#feedbackevolves [4] feedbacklabs'#feedbackevolves,#feedback [4] summit,visit Top Word Pairs in Tweet in G10:
[6] board,members [5] week,interviewed [5] interviewed,goddess [5] goddess,gaia [5] gaia,ventures [5] ventures,watch [5] watch,full [5] full,episode [5] episode,youtube [5] youtube,channel Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
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 G8:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: