Detection and Characterization of Influential Cross-lingual Information Diffusion on Social Networks

@article{Jin2017DetectionAC,
  title={Detection and Characterization of Influential Cross-lingual Information Diffusion on Social Networks},
  author={Hongshan Jin},
  journal={Proceedings of the 26th International Conference on World Wide Web Companion},
  year={2017}
}
  • Hongshan Jin
  • Published 3 April 2017
  • Computer Science
  • Proceedings of the 26th International Conference on World Wide Web Companion
Social network services (SNSs) have become new global and multilingual information platforms due to their popularity. In SNSs with content-sharing functionality, such as "retweet" in Twitter and "share" in Facebook, posts are easily and quickly shared among users, and some of which can spread over different regions and languages. In this work, we first define the concept of cross-lingual information cascade on the basis of the main language of users and then try to characterize and detect those… 

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References

SHOWING 1-10 OF 16 REFERENCES

Predicting popular messages in Twitter

TLDR
It is shown that the method can successfully predict messages which will attract thousands of retweets with good performance and formulate the task into a classification problem and study two of its variants by investigating a wide spectrum of features based on the content of the messages.

Patterns of Cascading Behavior in Large Blog Graphs

TLDR
Some surprising findings of the blog linking and information propagation structure are reported, after one of the largest available datasets, with 45, 000 blogs and ≈ 2.2 million blog-postings is analyzed.

Sociolinguistic analysis of Twitter in multilingual societies

TLDR
This study examines the interplay of language and network structure in diverse, multi-lingual societies, using Twitter, and the role of bilinguals and attempts to quantify the degree to which users are the "bridge-builders" between monolingual language groups, whilemonolingual users cluster together.

Bridging languages in social networks: How multilingual users of Twitter connect language communities?

TLDR
This study aims at defining and classifying language bridges by looking at the languages and structure of the social networks of multilingual individuals on the microblogging site Twitter.

Global connectivity and multilinguals in the Twitter network

TLDR
The English language does play more of a bridging role than other languages, but the role played collectively by multilingual users across different languages is the largest bridging force in the network.

Social influence and the diffusion of user-created content

TLDR
An empirical study of user-to-user content transfer occurring in the context of a time-evolving social network in Second Life, a massively multiplayer virtual world finds that sharing among friends occurs more rapidly than sharing among strangers, but that content that diffuses primarily through social influence tends to have a more limited audience.

The structure of online diffusion networks

TLDR
This work describes the diffusion patterns arising from seven online domains, ranging from communications platforms to networked games to microblogging services, each involving distinct types of content and modes of sharing, and finds strikingly similar patterns across all domains.

Cascading behaviour in complex socio-technical networks

TLDR
An overview of the models and applications that have been developed in what is still a nascent area of research, as well as an outline of immediate lines of work that promise to open new vistas in the understanding of cascading behaviour in social networks.

Language Networks on LiveJournal

TLDR
The findings reveal that English dominates globally but not locally, network robustness is determined mostly by population size, and journals that bridge between languages are written by multicultural, multilingual individuals, or else they have broadly accessible content.

Predicting the Audience Size of a Tweet

TLDR
An analysis of two important characteristics of so called retweet cascades: retweet count and show count, i.e., number of users that receive the tweet in their feed, shows that these two measures behave differently.