Effective information spreading based on local information in correlated networks

Lei Gao; Wei Wang; Liming Pan; Ming Tang; Hai-Feng Zhang

doi:10.1038/srep38220

A multiple information model incorporating limited attention and information environment

PLoS ONE ◽

10.1371/journal.pone.0257844 ◽

2021 ◽

Vol 16 (10) ◽

pp. e0257844

Author(s):

Tong Chen ◽

Ziqing Chen ◽

Xuejun Jin

Keyword(s):

Rapid Development ◽

Heat Rate ◽

Local Information ◽

Information Environment ◽

Propagation Model ◽

The Other ◽

Limited Attention ◽

Online Information ◽

Scale Free ◽

Information Spreading

Rapid development of intelligent information equipment accelerates the expansion of mobile social network. Speed of information spreading is gradually growing, there are lots of changes in the scale and mode of information spreading. But the basic communication network is not developed and not mature, when online information platforms breakdown sometimes it happens to be when important information appears. Therefore, the research is done to solve these occasion problems, help network information platform filter hot news and discuss the reason that hot news exists longer than other news in the Internet. In this paper, a multiple information propagation model incorporating both local information environment and people’s limited attention is proposed based on Susceptible Infected Recovered (SIR) model. Two new concepts are introduced into the model: heat rate and popular rate, to measure the local information influence power and people’s limited attention to information respectively, which are key factors determining node state transformation instead of fixed probability. In order to analyze the influence from limited attention, a situation is designed that several pieces of information are popular successively. The theoretical analysis shows that the early popular information gets more attention than the later popular information, and more attention makes it easier to spread. Besides, numerical simulation is conducted in both uniform network and scale-free network. The simulation results show that the early popular information is less vulnerable to the increase of information acceptance threshold and more sensitive to the decrease of information rejection threshold than the later popular information. Moreover, the model can also be used in the case of large amount of information transmission without adding too much complexity. Reasons are given in the research that the top hot news exists very much longer than the other ones, and latter news which have same influence as top news are hard to get the same focus. Meanwhile, results in the research can provide some ways for the other researches in the related fields. They also help related information platforms to filter and push news and referable strategies to maintain hot news.

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Facilitating information spreading with local information in complex networks

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) ◽

10.1109/fskd.2017.8393297 ◽

2017 ◽

Author(s):

Lei Gao ◽

Ling-Jiao Chen ◽

Xiao-Long Chen ◽

Hui Gao

Keyword(s):

Complex Networks ◽

Local Information ◽

Information Spreading

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Do You Want to See the Tree? Ignore the Forest

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000240 ◽

2014 ◽

Vol 61 (3) ◽

pp. 205-214 ◽

Cited By ~ 12

Author(s):

Nicolas Poirel ◽

Claire Sara Krakowski ◽

Sabrina Sayah ◽

Arlette Pineau ◽

Olivier Houdé ◽

...

Keyword(s):

Visual Recognition ◽

Local Level ◽

Local Information ◽

Visual Environment ◽

Global Information ◽

Focus Attention ◽

Global Level ◽

Hierarchical Stimuli ◽

Priming Paradigm ◽

The One

The visual environment consists of global structures (e.g., a forest) made up of local parts (e.g., trees). When compound stimuli are presented (e.g., large global letters composed of arrangements of small local letters), the global unattended information slows responses to local targets. Using a negative priming paradigm, we investigated whether inhibition is required to process hierarchical stimuli when information at the local level is in conflict with the one at the global level. The results show that when local and global information is in conflict, global information must be inhibited to process local information, but that the reverse is not true. This finding has potential direct implications for brain models of visual recognition, by suggesting that when local information is conflicting with global information, inhibitory control reduces feedback activity from global information (e.g., inhibits the forest) which allows the visual system to process local information (e.g., to focus attention on a particular tree).

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