The graph represents a network of 219 Twitter users whose tweets in the requested range contained "svforum", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 01 July 2020 at 05:04 UTC.
The requested start date was Wednesday, 01 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 90-day, 4-hour, 36-minute period from Wednesday, 01 April 2020 at 18:29 UTC to Tuesday, 30 June 2020 at 23:06 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 : 219
Unique Edges : 295
Edges With Duplicates : 606
Total Edges : 901
Number of Edge Types : 5
Replies to : 16
Mentions : 246
Tweet : 113
MentionsInRetweet : 354
Retweet : 172
Self-Loops : 114
Reciprocated Vertex Pair Ratio : 0.069377990430622
Reciprocated Edge Ratio : 0.129753914988814
Connected Components : 4
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 216
Maximum Edges in a Connected Component : 898
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.489595
Graph Density : 0.00936282518537137
Modularity : 0.322158
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 219 Twitter users whose tweets in the requested range contained "svforum", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 01 July 2020 at 05:04 UTC.
The requested start date was Wednesday, 01 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 90-day, 4-hour, 36-minute period from Wednesday, 01 April 2020 at 18:29 UTC to Tuesday, 30 June 2020 at 23:06 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 : svforum
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:
[27] covid,19 [25] free,webinar [24] 00,pm [24] silicon,valley [17] fearless,global [17] global,women [16] pm,pst [15] looking,forward [14] early,stage [13] techledes,annapapallona Top Word Pairs in Tweet in G1:
[21] covid,19 [19] 00,pm [16] pm,pst [14] free,webinar [13] early,stage [11] july,7th [11] stage,#fintech [10] office,hours [9] silicon,valley [9] calling,early Top Word Pairs in Tweet in G2:
[4] covid,19 [2] impact,covid [2] silicon,valley [2] org,statement [2] pushpa,ithal [2] ithal,founder [2] founder,ceo [2] ceo,marketbeaminc [2] marketbeaminc,taking [2] taking,school Top Word Pairs in Tweet in G3:
[13] padmasree,ba_minuzzi [12] techledes,annapapallona [11] looking,forward [11] fearless,global [11] global,women [10] ba_minuzzi,hannahkain [10] listening,stories [10] stories,advice [10] advice,svforum [10] svforum,panel Top Word Pairs in Tweet in G4:
[9] free,webinar [9] lafawn,krliu_advocate [6] krliu_advocate,annabelrchang [5] inclusivity,workplace [5] melinda,briana [5] briana,epler [5] epler,mbrianaepler [5] mbrianaepler,moderates [5] moderates,sense [5] sense,belonging Top Word Pairs in Tweet in G5:
[2] racial,equity Top Word Pairs in Tweet in G6:
[4] viendo,mstega [4] mstega,congreso [4] congreso,maizysorgo [4] maizysorgo,futuro [4] futuro,biobasado [4] biobasado,sustentabilidad [4] sustentabilidad,esperanza [4] esperanza,recuerda [4] recuerda,svforum [4] svforum,rosario Top Word Pairs in Tweet in G7:
[8] silicon,valley [6] founder,institute [6] virtual,program [5] early,applications [4] applications,founder [4] founder,institute's [4] institute's,online [4] online,program [4] program,silicon [4] valley,close Top Word Pairs in Tweet in G8:
[3] daily,besteventsintheus [3] besteventsintheus,list [3] list,ready [3] ready,#events [3] #events,#conferences [3] #conferences,gopherguides [3] gopherguides,nocoug [2] eventbrowseus,daily Top Word Pairs in Tweet in G9:
[3] proud,svforum [3] svforum,part [3] part,#callforcode [3] #callforcode,ecosystem [3] ecosystem,part [3] part,#techforgood [3] #techforgood,initiative [2] webinar,next [2] next,thursday [2] proud,support Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 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: