Search Graph CLI Topics Blogs Events Posts Papers Patents Feed Talks Photos Add your work My graph

Loading devreal.ai…

Community index online

Built for the people who make technology make sense.

© 2026 devreal.ai

New on DevRealMojo 1.0 and open source: our ModCon 2026 videosRead and watch ↗

New on FunctionalTVVideos from DataFusion meetup at LangChain are upWatch the videos ↗

Upcoming eventApache Spark NYC Meetup · Aug 26Read announcement ↗

The First Spark1st Spark meetup in the worldRelive the miracle of discovering Spark! ↗

New on FunctionalTVRust AI Begins recordings are liveWatch all 12 ↗

Recently verified

@jesusvilelaJesús Vilela JatoClaimed profile ↗@jameswardJames WardClaimed profile ↗@schwentkerRobert SchwentkerClaimed profile ↗@etorreborreEric TorreborreClaimed profile ↗@mileschintwTsungWei ChinClaimed profile ↗@newfrontScott HainesClaimed profile ↗@devtyTyler SingletaryClaimed profile ↗@nyghtowlMelanie WarrickClaimed profile ↗@alexyAlexy KhrabrovClaimed profile ↗

Predicting the popularity of online content — devreal.ai

← Back to papers

paper · community record

Predicting the popularity of online content

Early patterns of Digg diggs and YouTube views reflect long-term user interest.

Read paper ↗Add or suggest a connection ↗

01

Connections

1 relationship

authored · incomingGabor Szaboperson ↗

02

Provenance

Type: paper
Status: Imported / unclaimed
doi: 10.1145/1787234.1787254
year: 2008
venue: Communications of the ACM
source: bythebay
pdf_url: https://arxiv.org/pdf/0811.0405
abstract: Early patterns of Digg diggs and YouTube views reflect long-term user interest.
arxiv_id: 0811.0405
citation_count: 1131