Spatio-temporal and events based analysis of topic popularity in twitter

Ardon, Sébastien; Bagchi, Amitabha; Mahanti, Anirban; Ruhela, Amit; Seth, Aaditeshwar; Tripathy, Rudra M.; Triukose, Sipat

doi:10.1145/2505515.2505525

Cited by 50 publications

(36 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, spatio-temporal analyses could be used to understand changes in the content of the posts over both space and time (Ardon et al, 2013). Combined with content analysis, social media could be used to understand e.g., species population trends, invasive species spread and how landscapes have changed over time in relation to ecological processes or disturbance.…”

Section: When Was the Content Shared?mentioning

confidence: 99%

Prospects and challenges for social media data in conservation science

Minin

Tenkanen

Toivonen

2015

Front. Environ. Sci.

266

209

View full text Add to dashboard Cite

Social media data have been extensively used in numerous fields of science, but examples of their use in conservation science are still very limited. In this paper, we propose a framework on how social media data could be useful for conservation science and practice. We present the commonly used social media platforms and discuss how their content could provide new data and information for conservation science. Based on this, we discuss how future work in conservation science and practice would benefit from social media data.

show abstract

Section: When Was the Content Shared?mentioning

confidence: 99%

Prospects and challenges for social media data in conservation science

Minin

Tenkanen

Toivonen

2015

Front. Environ. Sci.

266

209

View full text Add to dashboard Cite

show abstract

“…The category of content to which the page belongs -OpenCalais has been used to tag and categorise the pages by content. Previous studies have used openCalais to successfully tag semantic meaning, including tweets [39] [44]. However, the service does not provide a service for Chinese language documents, thus tagging semantic information is purely from an English language perspective, although the content of pages can be assumed to be in the same topic area [43].…”

Section: Examining Wikipedia Page Views Between Languagesmentioning

confidence: 99%

Examining Wikipedia across linguistic and temporal borders

Tinati

Gaskell

Tiropanis

et al. 2014

Proceedings of the 23rd International Conference on World Wide Web

View full text Add to dashboard Cite

The Web has grown to be an integral part of modern society offering novel ways for humans to communicate, interact, and share information. New collaborative platforms are forming which are providing individuals with new communities and knowledge bases and, at the same time, offering insights into human activity for researchers, policy-makers and engineers. On a global scale, the role of cultural and language barriers when studying such phenomena becomes particularly relevant and presents significant challenges: due to insufficient information, it is often hard to establish the cultural or language groups in which individuals belong, while there are technical difficulties in establishing the relevance and in analysing resources in different languages. This paper presents a framework to the end of addressing those issues by leveraging data on the use of Wikipedia. Resources available in different languages are explicitly correlated in Wikipedia along with time-stamped logs of access to its articles. This paper provides a framework to enable temporal page views in Wikipedia to be associated with specific geographic profiles. This framework is then used to examine the exchange of information between the English speaking and Chinese speaking localities and reports initial findings on the role of language and culture in diffusion in this context.

show abstract

“…Another useful source for spatio-temporal data is GeoTagged Tweets (GTT) [2,16]. According to the Global Web Index report [8], Twitter is the fastest growing social platform in the world.…”

Section: Datasetsmentioning

confidence: 99%

The influence of social norms on synchronous versus asynchronous communication technologies

Almaatouq

Alhasoun

Campari

et al. 2013

Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia

View full text Add to dashboard Cite

Extensive theoretic work attempts to address the role of social norms in describing, explaining and predicting human behaviors. However, traditional methods of assessing the effect can be expensive and time consuming. In this work, we utilize data generated by the call detail records (CDRs) and geo-tagged Tweets (GTTs) as enabling proxies for understanding human activity patterns. We present preliminary results on the effect of social norms on communication patterns during different times of the day, including prayer times. Specifically, we investigate the variations in population behavioral patterns with respect to social norms between asynchronous (i.e., Twitter) and synchronous (i.e., phone calls) communication mediums in the city of Riyadh, the capital of Saudi Arabia.

show abstract

Spatio-temporal and events based analysis of topic popularity in twitter

Cited by 50 publications

References 25 publications

Prospects and challenges for social media data in conservation science

Prospects and challenges for social media data in conservation science

Examining Wikipedia across linguistic and temporal borders

The influence of social norms on synchronous versus asynchronous communication technologies

Contact Info

Product

Resources

About