Then we apply TextRank and a Bayesian approach that initialize ranking scores for tweets, web documents, and users. Finally, we iteratively propagate ranking ...
[PDF] Tweet Ranking Based on Heterogeneous Networks 基于异构 ...
blender.cs.illinois.edu › paper › twe...
We propose three high-level hypotheses that motivate the presented methods of constructing heterogeneous networks of tweets, users, and web documents. The ...
We show that integrating both formal genre and inferred social networks with tweet networks produces a higher-quality ranking than the tweet networks alone.
In this paper, we explore the novel idea of ranking tweets on a topic using heterogeneous networks. We construct heterogeneous networks by harnessing cross- ...
This paper introduces Tri-HITS, a model to iteratively propagate ranking scores across heterogeneous networks and shows that integrating both formal genre ...
Dive into the research topics of 'Tweet ranking based on heterogeneous networks'. Together they form a unique fingerprint. Sort by; Weight · Alphabetically ...
Our model is validated by conducting experiments on real-world Twitter data, and the results show the efficiency and accuracy of our model, with less absolute ...
Jun 10, 2020 · In this paper, we construct a tweet-word-user heterogeneous graph based on the text contents and the source tweet propagations of rumors. A.
[PDF] TwHIN: Embedding the Twitter Heterogeneous Information ...
ahelk.github.io › papers › twhin_kdd
Social networks, such as Twitter, form a heterogeneous information network (HIN) where nodes represent domain entities (e.g., user, content, advertiser, etc.) ...