Regional properties of global communication as reflected in aggregated Twitter data

@article{Kallus2013RegionalPO,
  title={Regional properties of global communication as reflected in aggregated Twitter data},
  author={Zs{\'o}fia Kallus and Norbert Barankai and D{\'a}niel Kondor and Laszlo Dobos and Tam{\'a}s Hanyecz and J{\'a}nos Sz{\"u}le and J{\'o}zsef St{\'e}ger and Tamas Sebok and G{\'a}bor Vattay and Istv{\'a}n Csabai},
  journal={2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom)},
  year={2013},
  pages={429-434}
}
  • Zsófia Kallus, N. Barankai, I. Csabai
  • Published 6 November 2013
  • Computer Science
  • 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom)
Twitter is a popular public conversation platform with world-wide audience and diverse forms of connections between users. In this paper we introduce the concept of aggregated regional Twitter networks in order to characterize communication between geopolitical regions. We present the study of a follower and a mention graph created from an extensive data set collected during the second half of the year of 2012. With a k-shell decomposition the global core-periphery structure is revealed and by… 
View on IEEE
arxiv.org
5 Citations
Background Citations
1

5 Citations

Inferring the interplay between network structure and market effects in Bitcoin
TLDR
This article considers the history of Bitcoin, a novel digital currency system, for which the complete list of transactions is available for analysis, and reconstructs the transaction network between users and analyzes changes in the structure of the subgraph induced by the most active users.
Propagation regularity of hot topics in Sina Weibo based on SIR model — A simulation research
TLDR
The experimental results show that the fitting degree between simulation results and the historical data is high and indicates that there is a high feasibility of this model to research on the propagating regularity of hot topics spreading on Sina Weibo.
An overview of research trends in CogInfoCom
TLDR
An overview of the various research directions which have been represented at the conference series, and which have as a result gained strong relevance to CogInfoCom during the past few years is provided.
Stochastic models in complex system Application of linear algebraic methods to some concrete problems
  • Computer Science
  • 2017
Empirical analysis of complex social and financial networks

References

SHOWING 1-10 OF 13 REFERENCES
What is Twitter, a social network or a news media?
TLDR
This work is the first quantitative study on the entire Twittersphere and information diffusion on it and finds a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks.
A multi-terabyte relational database for geo-tagged social network data
TLDR
This paper has collected a year's worth of data and built a multi-terabyte relational database designed for fast data loading and to support a wide range of studies focusing on the statistics and geographic features of social networks, as well as on the linguistic analysis of tweets.
Identification of influential spreaders in complex networks
Spreading of information, ideas or diseases can be conveniently modelled in the context of complex networks. An analysis now reveals that the most efficient spreaders are not always necessarily the…
Statistical physics of social dynamics
Statistical physics has proven to be a fruitful framework to describe phenomena outside the realm of traditional physics. Recent years have witnessed an attempt by physicists to study collective…
K-core Organization of Complex Networks
TLDR
It is shown that in networks with a finite mean number zeta2 of the second-nearest neighbors, the emergence of a k-core is a hybrid phase transition, and in contrast, ifZeta2 diverges, the networks contain an infinite sequence of k-cores which are ultrarobust against random damage.
A model of Internet topology using k-shell decomposition
TLDR
This analysis uses information on the connectivity of the network shells to separate, in a unique (no parameters) way, the Internet into three subcomponents: a nucleus that is a small, very well connected globally distributed subgraph; a fractal subcomponent that is able to connect the bulk of the Internet without congesting the nucleus, with self-similar properties and critical exponents predicted from percolation theory.
Infectious Diseases of Humans: Dynamics and Control
TLDR
This book discusses the biology of host-microparasite associations, dynamics of acquired immunity heterogeneity within the human community indirectly transmitted helminths, and the ecology and genetics of hosts and parasites.
A Multi-terabyte database for geotagged social network data,
  • Submitted to the CogInfoCom
  • 2013
Forecast and control of epidemics in a globalized world.
TLDR
A probabilistic model is introduced that describes the worldwide spread of infectious diseases and shows that a forecast of the geographical spread of epidemics is indeed possible, taking into account national and international civil aviation traffic.
Geographic Dissection of the Twitter Network
TLDR
Investigating how users’ geolocation impacts their participation in Twitter, including their connections to others and the information they exchange with them reveals that geography continues to have a significant impact on user interactions in the Twitter social network.
...
...