Role of lurkers in threshold-driven information spreading dynamics

2021 ◽  
Vol 104 (3) ◽  
Author(s):  
Zhongyuan Ruan ◽  
Bin Yu ◽  
Xiyun Zhang ◽  
Qi Xuan
Keyword(s):  
Spreading Dynamics ◽  
Information Spreading

scholarly journals The role of drop shape in impact and splash

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Qingzhe Liu ◽  
Jack Hau Yung Lo ◽  
Ye Li ◽  
Yuan Liu ◽  
Jinyu Zhao ◽  
...  
Keyword(s):  
Electromagnetic Field ◽  
Spherical Geometry ◽  
Impact Dynamics ◽  
Helmholtz Instability ◽  
Liquid Drops ◽  
Drop Shape ◽  
Spreading Dynamics ◽  
Solid Substrates ◽  
The Impact

AbstractThe impact and splash of liquid drops on solid substrates are ubiquitous in many important fields. However, previous studies have mainly focused on spherical drops while the non-spherical situations, such as raindrops, charged drops, oscillating drops, and drops affected by electromagnetic field, remain largely unexplored. Using ferrofluid, we realize various drop shapes and illustrate the fundamental role of shape in impact and splash. Experiments show that different drop shapes produce large variations in spreading dynamics, splash onset, and splash amount. However, underlying all these variations we discover universal mechanisms across various drop shapes: the impact dynamics is governed by the superellipse model, the splash onset is triggered by the Kelvin-Helmholtz instability, and the amount of splash is determined by the energy dissipation before liquid taking off. Our study generalizes the drop impact research beyond the spherical geometry, and reveals the potential of using drop shape to control impact and splash.

Information spreading dynamics in hypernetworks

2018 ◽  
Vol 495 ◽  
pp. 475-487 ◽  
Author(s):  
Qi Suo ◽  
Jin-Li Guo ◽  
Ai-Zhong Shen
Keyword(s):  
Spreading Dynamics ◽  
Information Spreading

scholarly journals Self-Presentation and Adolescent Altruistic Behaviors in Social Networks

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yaling Zhu ◽  
Yue Shen ◽  
Qiang Zhao
Keyword(s):  
Social Networks ◽  
Opinion Formation ◽  
Self Presentation ◽  
Positive Prediction ◽  
Network Support ◽  
Social Ability ◽  
Spreading Dynamics ◽  
Intermediary Role ◽  
The Impact

Social networks provide a convenient place for people to interact; members in social networks may create new connections or break existing connections, driving the evolution of complex network structure. Dynamics in social networks, such as opinion formation and spreading dynamics, may result in complex collective phenomena. This paper conducts a survey on 495 students from six schools in Shaanxi, Henan, and Zhejiang provinces and discusses the impact of self-presentation on adolescent network altruistic behaviors, the intermediary role of social ability cognition, and the moderating role of privacy awareness. The results show the following: (1) Self-presentation in social networks can positively predict adolescent network altruistic behaviors. The positive prediction effect of network sharing is the largest, and the positive prediction effect of network support is the least. (2) Social ability cognition plays an intermediary role between self-presentation and adolescent network altruistic behaviors. (3) The moderating effect of privacy awareness is not significant.

scholarly journals Spreading dynamics on networks: the role of burstiness, topology and non-stationarity

2014 ◽  
Vol 16 (7) ◽  
pp. 073037 ◽  
Author(s):  
Dávid X Horváth ◽  
János Kertész
Keyword(s):  
Spreading Dynamics

scholarly journals ROLE OF WALI, ANCIENT MOSQUE AND SACRED TOMB IN ISLAM SPREADING DYNAMICS IN CIKAKAK

2016 ◽  
Vol 14 (2) ◽  
pp. 225-240
Author(s):  
Arnis Rachmadhani
Keyword(s):  
Qualitative Research ◽  
17Th Century ◽  
Social Practices ◽  
Mutual Assistance ◽  
Spreading Dynamics ◽  
The Village

AbstractThis qualitative research was conducted in the Islamic communities who base all its activities on Aboge calendar calculations in the village of Cikakak,Wangon, District of Banyumas. Data collected by interview, observation, and documentation. This study found an association between the role of the Wali, the ancient mosque and shrine in the spread of Islam in the village Cikakak. Jaro Rajab ritual or grave pilgrimage or nyadran held every 26th of Rajab as a symbol of respect to KyaI Mustolih who spread Islam in the 17th century. Kyai Mustolih built Saka Tunggal Mosque in 1288 AD. Social practices of mutual assistance and cooperation is reflected in Jaro Rajab ritual performed in the tomb and mosque complex. Jaro Rajab ritual functioning as a unity element for communities and faiths.

scholarly journals Identifying the Influential Latent Edges for Promoting the Co-SIR Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dan Yang ◽  
Liming Pan ◽  
Zhidan Zhao ◽  
Tao Zhou
Keyword(s):  
Real World ◽  
Message Passing ◽  
Sir Model ◽  
Research Area ◽  
Disease Outbreak ◽  
Limited Attention ◽  
Original Network ◽  
Spreading Model ◽  
Spreading Dynamics ◽  
Information Spreading

The network-based cooperative information spreading is a widely existing phenomenon in the real world. For instance, the spreading of disease outbreak news and disease prevention information often coexist and interact with each other on the Internet. Promoting the cooperative spreading of information in network-based systems is a subject of great importance in both theoretical and practical perspectives. However, very limited attention has been paid to this specific research area so far. In this study, we propose an effective approach for identifying the influential latent edges (that is, the edges that do not originally exist) which, if added to the original network, can promote the cooperative susceptible-infected-recovered (co-SIR) dynamics. To be specific, we first obtain the probabilities of each nodes being in different node states by the message-passing approach. Then, based on the state probabilities of nodes obtained, we come up with an indicator, which incorporates both the information of network topology and the co-SIR dynamics, to measure the influence of each latent edge in promoting the co-SIR dynamics. Thus, the most influential latent edges can be located after ranking all the latent edges according to their quantified influence. We verify the rationality and superiority of the proposed indicator in identifying the influential latent edges of both synthetic and real-world networks by extensive numerical simulations. This study provides an effective approach to identify the influential latent edges for promoting the network-based co-SIR information spreading model and offers inspirations for further research on intervening the cooperative spreading dynamics from the perspective of performing network structural perturbations.

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