Identifying topical authorities in microblogs
By Aditya Pal, Scott Counts. Web Search and Data Mining, 2011
393 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/745313e959845b65c20aab490c44fc12b63243d9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Aaron Hoff
- Meredith Ringel Morris
- Julia Schwarz
- Scott Counts
- Fabián Riquelme
- Pablo Gonzalez Cantergiani
In Information Systems
- Scott Counts
- Aaron Hoff
- Julia Schwarz
- Asta Roseway
- Meredith Ringel Morris
- Fabián Riquelme
- Pablo Gonzalez Cantergiani
In Statistical and Nonlinear Physics
- Asta Roseway
- Aaron Hoff
- Julia Schwarz
- Meredith Ringel Morris
- Scott Counts
- Fabián Riquelme
- Pablo Gonzalez Cantergiani
- Rediet Abebe
Citations in the corpus
- Information diffusion in online social networks: a survey (2013, neutral): “[36] develop a non-graph based, topicsensitive method.”
- Tweeting is believing?: understanding microblog credibility perceptions (2012, methodology): “This has prompted researchers to develop novel interfaces and algorithms for filtering tweets, such as tools like Twahpic [28] or Eddi [1], which perform topic-based clustering and filtering, or algorithms for identifying Twitter authors with authority on specific topics [26].”
- Measuring user influence on Twitter: A survey (2015, background): “In Section 4 we talk about the ambiguity of the influential user’s definition, and we O ( T ) Topical signal [99] Ω ( T ) Signal strength [99] O ( T ) Effective readers [75] limited request ActivityScore [152] limited request DiscussRank [60] limited request Competency [2] ?”