plotcon nyc: mapping networked attention: what we learn from social data
TRANSCRIPT
Mapping Networked Attentionwhat we learn from social dataGilad Lotan | @gilgul | [email protected]
ApportableBackupifyBeepBranchBuzzFeedChainChallengePostChatgrapeClipboardCollabFinderCoupleCovestorCrowdTangle
DasherElectric ObjectsEmbedlyEstimoteEverlaneFacefeedFancyHandsFinderyFrontbackGdgtGeniusGimlet MediaGrand StGroupme
HachikoHighlightIFTTTJust.meKanduKeepKickstarterLayerVaultLotameMakrMediumMemoirMindieOMGPOP
OnswipeParlioPathPickiePicturelifeProduct HuntQuibbRebelmouseSocraticSomeecardsSongkickStocktwitsSummizeSvbtle
SyntertainmentThirty LabsTOTEMSTumblrTweetdeckUbermediaURXUservoiceVenmoVrideoWonderYieldbotYo
Studio Companies
Seed Investments
San Bernardino, California | Dec. 2nd, 2015
Gun Safety Advocates
Firearms & Hunting
Second Amendment Defenders
Firearms & Hunting Enthusiasts
Second Amendment Defenders
Gun Safety Advocates
Homophily
Algorithmic Ranking
Collaborative Filtering
likeslikesA B
Firearms & Hunting
Second Amendment Defenders
Gun Safety Advocates
User A User B
User A is connected to B
User A User B
User A follows User B
connection
follows
Constructing a Network Graph
Sam Royston
Graph Measures• Centrality
– Betweenness– Closeness– Eigenvector– Degree
• Clustering Coefficient (clique)
• Modularity (clusters)
@Bradybuzz
@ConcealNCarryNt
@Trident_Arms
@gundetect
• Networks vs. Groups• Power Embedded within Network Position• Homophily• Algorithmic Ranking• Increasing Polarization
News in a World of Networks
Dads
Animal Lovers
Sneakerheads
