Viral spreading of daily information in online social networks

Abstract

We explain a possible mechanism of an information spreading on a network which spreads extremely far from a seed node, namely the viral spreading. On the basis of a model of the information spreading in an online social network, in which the dynamics is expressed as a random multiplicative process of the spreading rates, we will show that the correlation between the spreading rates enhances the chance of the viral spreading, shifting the tipping point at which the spreading goes viral.

Modeling the popularity of twitter hashtags with master equations

“…The agreement between our model predictions and the data we analyzed suggests that our approach is also plausible and capable of yielding satisfactory quantitative results. The approach we utilized is in line with and extends the results in the works of Hogg and Lerman ( 2009 ), Kawamoto ( 2013 ), Kawamoto and Hatano ( 2014 ), Mollgaard and Mathiesen ( 2015 ) in the sense that we propose a stochastic one-compartment model for information diffusion over a network. Our approach is distinguished from these other approaches in the quantity that we model (popularity of a hashtag), the consideration of intrinsic and extrinsic factors, the construction of approximate confidence regions and the validation with several different hashtags.…”

“…The growing interest in modeling and understanding different dynamical processes that occur on this social network is manifested in the large number of studies on this matter in recent years. Kawamoto et al have proposed a multiplicative process model for information spread (Kawamoto 2013 ; Kawamoto and Hatano 2014 ). Kwon et al ( 2012 ) and ( 2013 ) have proposed models for the evolution of the number of messages, the propensity to send or resend messages and have categorized messages according to predictability and sustainability (Kwon et al.…”

Improving short-term information spreading efficiency in scale-free networks by specifying top large-degree vertices as the initial spreaders

“…For example, efficient methods for spreading information positively can be employed in warning information spreading in emergency training or realistic emergency scenes. Considerable research has been performed to improve spreading efficiency, such as the shortest spreading paths [1][2][3][4], spreading strategies [5][6][7][8], influential spreader [9][10][11][12][13][14], spreading process [15][16][17][18][19] and spreading behaviours [20,21].…”

Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective

“…Of the existing explanatory models of information spreading, some intend to explain the microscopic interactions among individuals 15 , some intend to characterize the resulting effect 12, 16 , and some bridge the gap between microscopic mechanisms and macroscopic phenomena 2, 4, 5 . We aim to come up with a modeling methodology that is able to derive a mathematical model for phenomenal results based on some intuitive microscopic conjectures.…”

“…The decision of retweeting could be made under the influence of others or, independently. It is intuitive that there exist certain patterns of interactions among people, such as the cascading effect 2 – 4 , the co-existence of competition and cooperation 5 . However, most existing studies, whether theoretical 6 – 8 or empirical 9 – 11 , do not discriminate the independence property of spreading activities from others, although it makes up a large portion of all spreading activities.…”