Topic
Microblogging
About: Microblogging is a research topic. Over the lifetime, 4186 publications have been published within this topic receiving 137030 citations. The topic is also known as: microblog.
Papers published on a yearly basis
Papers
More filters
TL;DR: A new approach to detect burst novel events in microblogging stream by utilizing multiple types of information, i.e., term frequency, and user social relation, and the popularity of detected event is predicted through a proposed diffusion model which takes both the content and user information of the event into account.
84 citations
26 Oct 2011
84 citations
TL;DR: There are some differences between public and academic libraries, including the number of tweets, linguistic differences, and content, but it seems that using Twitter in libraries enables both kinds of libraries to broadcast and share information about their activities, opinions, status, and professional interests.
Abstract: Microblogging is a relatively new phenomenon in online social networking that has become increasingly prevalent in the last few years. This study explores the use of Twitter in public and academic libraries to understand microblogging patterns. Analysis of the tweets was conducted in two phases: (1) statistical descriptive analysis and (2) content analysis. The research findings show there are some differences between public and academic libraries, including the number of tweets, linguistic differences, and content. However, it seems that using Twitter in libraries enables both kinds of libraries to broadcast and share information about their activities, opinions, status, and professional interests. The research findings are relevant for librarians and information scientists who wish to better understand and explore the phenomenon of library tweets.
84 citations
24 Feb 2014
TL;DR: This work proposes a novel Followship-LDA (FLDA) model, which integrates both content topic discovery and social influence analysis in the same generative process, and demonstrates that FLDA produces results with significantly better precision than existing approaches.
Abstract: Social influence analysis on microblog networks, such as Twitter, has been playing a crucial role in online advertising and brand management. While most previous influence analysis schemes rely only on the links between users to find key influencers, they omit the important text content created by the users. As a result, there is no way to differentiate the social influence in different aspects of life (topics). Although a few prior works do support topic-specific influence analysis, they either separate the analysis of content from the analysis of network structure, or assume that content is the only cause of links, which is clearly an inappropriate assumption for microblog networks. To address the limitations of the previous approaches, we propose a novel Followship-LDA (FLDA) model, which integrates both content topic discovery and social influence analysis in the same generative process. This model properly captures the content-related and content-independent reasons why a user follows another in a microblog network. We demonstrate that FLDA produces results with significantly better precision than existing approaches. Furthermore, we propose a distributed Gibbs sampling algorithm for FLDA, and demonstrate that it provides excellent scalability on large clusters. Finally, we incorporate the FLDA model in a general search framework for topic-specific influencers. A user freely expresses his/her interest by typing a few keywords, the search framework will return a ranked list of key influencers that satisfy the user's interest.
84 citations
01 Jan 2009
TL;DR: The study described in this paper took place at a large international conference on e-learning, where a Twitter channel was established for discussion among the participants of the conference and those from outside, and this stream was also used to “tweet” statements during the keynote presentations.
Abstract: Web 2.0 technologies pervade our daily life as well as educational settings. A fairly new approach is communication through so called microblogging channels. Mobile devices with Internet access can be used to send short messages from a microblog. Combined with social network environments, applications such as Twitter, Jaiku, Pownce, and Plurk enrich our ways of communication. At Graz University of Technology (TU Graz) some research work has been done to investigate using microblogging tools to improve face-to-face lectures. The study described in this paper took place at a large international conference on e-learning, where a Twitter channel was established for discussion among the participants of the conference and those from outside. This stream was also used to “tweet” (post on Twitter) statements during the keynote presentations. By viewing the tweet-channel via an additional projector, the audience was able to follow the live-blogging session synchronously to the ongoing speech.
83 citations