The graph represents a network of 632 Twitter users whose tweets in the requested range contained "globaldev", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 20 September 2021 at 06:04 UTC.
The requested start date was Monday, 20 September 2021 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, 14-hour, 11-minute period from Monday, 06 September 2021 at 03:14 UTC to Sunday, 19 September 2021 at 17:25 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 : 632
Unique Edges : 485
Edges With Duplicates : 919
Total Edges : 1404
Number of Edge Types : 5
Mentions : 411
Retweet : 323
MentionsInRetweet : 504
Tweet : 156
Replies to : 10
Self-Loops : 162
Reciprocated Vertex Pair Ratio : 0.0502035278154681
Reciprocated Edge Ratio : 0.0956072351421189
Connected Components : 72
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 334
Maximum Edges in a Connected Component : 764
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.821846
Graph Density : 0.00194086140143233
Modularity : 0.522595
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 632 Twitter users whose tweets in the requested range contained "globaldev", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 20 September 2021 at 06:04 UTC.
The requested start date was Monday, 20 September 2021 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, 14-hour, 11-minute period from Monday, 06 September 2021 at 03:14 UTC to Sunday, 19 September 2021 at 17:25 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 : globaldev
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:
[45] #globaldev,#globaldevelopment [44] #globaldevelopment,#internationaldevelopment [38] #internationaldevelopment,#dev [27] #datascience,#econometrics [24] #digitalisation,#digitalization [23] global,south [22] forumdc,free [21] #econometrics,#research [21] billion,people [21] people,living Top Word Pairs in Tweet in G1:
[2] dr_black,sher84091181 [2] sher84091181,andrewmmacleod [2] andrewmmacleod,drumeshprabhu [2] drumeshprabhu,googleexpertuk [2] googleexpertuk,banishfgm [2] banishfgm,intlwomen [2] intlwomen,womendeliver [2] womendeliver,womenwhistle [2] south,korean [2] korean,biotechnology Top Word Pairs in Tweet in G2:
[21] billion,people [21] people,living [15] #globaldev,policies [15] policies,40 [15] 40,wealthiest [15] wealthiest,nations [15] nations,impact [15] impact,nearly [15] nearly,billion [15] living,developing Top Word Pairs in Tweet in G3:
[2] braincures,jeremyfarrar [2] jeremyfarrar,michelle_cruk [2] michelle_cruk,ukri_ceo [2] ukri_ceo,universitiesuk [2] universitiesuk,union_newsuk [2] union_newsuk,evidencebase_im [2] evidencebase_im,techscommit [2] techscommit,1752group Top Word Pairs in Tweet in G4:
[24] #digitalisation,#digitalization [22] forumdc,free [20] free,september [20] september,paper [20] paper,digital [20] digital,trends [20] trends,#digitalisation [20] #digitalization,#digital [20] #digital,#internet [17] #internet,#ict Top Word Pairs in Tweet in G5:
[10] #globaldev,links [6] thanks,layallivs [6] layallivs,reaching [6] reaching,piece [6] piece,#academia [6] #academia,#globaldev [6] #globaldev,#research [5] themrise,thanks [5] aidnography,#globaldev [5] links,414 Top Word Pairs in Tweet in G6:
[7] global,south [5] #technological,change [5] change,innovation [5] innovation,#transforming [5] #transforming,#labor [5] #labor,#markets [5] #markets,profound [5] profound,implications [5] implications,profiles [5] arunatilaken,fowigsnet Top Word Pairs in Tweet in G7:
[10] global,south [10] south,frequently [10] frequently,used [10] used,#globaldev [10] #globaldev,research [10] research,helpful [10] helpful,conceptual [10] conceptual,tool [10] tool,studying [10] studying,world Top Word Pairs in Tweet in G8:
[5] #covid19,pandemic [3] research,estimates [3] estimates,early [3] early,june [3] june,2020 [3] 2020,#covid19 [3] pandemic,generated [3] generated,68 [3] 68,million [3] million,additional Top Word Pairs in Tweet in G9:
[7] #vintage,#booti [7] #booti,#globaldev [7] #globaldev,unique [7] unique,encyclopedia [7] encyclopedia,site [7] site,#empires [7] #empires,bad [7] bad,british [7] british,empire [7] empire,aid Top Word Pairs in Tweet in G10:
[14] written,donald [14] donald,smith [14] smith,ed [9] ed,#globaldev [7] #globaldev,#globalhealth [7] anti,racism [7] importantly,maryannmhina [7] maryannmhina,extend [7] extend,invitation [7] invitation,next 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 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: