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Austin Anderson, Petros Potikas and Katerina Potika
Community detection has been (and remains) a very important topic in several fields. From marketing and social networking to biological studies, community detection plays a key role in advancing research in many different fields. Research on this topic o...
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Xuli Rao, Jiaxu Zhao, Zhide Chen and Feng Lin
Due to the growing interconnections of social networks, the problem of influence maximization has been extended from a single social network to multiple social networks. However, a critical challenge of influence maximization in multi-social networks is ...
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Agostinho Agra and Jose Maria Samuco
Given a social network modelled by a graph, the goal of the influence maximization problem is to find k vertices that maximize the number of active vertices through a process of diffusion. For this diffusion, the linear threshold model is considered. A n...
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Wei Wang, Xiaojing Yao and Jing Chen
Tiled maps are one of the key GIS technologies used in the development and construction of WebGIS in the era of big data; there is an urgent need for high-performance tile map services hosted on big data GIS platforms. To address the current inefficiency...
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Liu Zhu, Hongyan Zhang, Dan Cao, Yalan Xu, Lanzhi Li, Zilan Ning and Lei Zhu
Drought stress-related gene identification is vital in revealing the drought resistance mechanisms underlying rice and for cultivating rice-resistant varieties. Traditional methods, such as Genome-Wide Association Studies (GWAS), usually identify hundred...
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Zhu Fang and Zhengquan Xu
Advances in network technology have enhanced the concern for network security issues. In order to address the problem that hopping graph are vulnerable to external attacks (e.g., the changing rules of fixed graphs are more easily grasped by attackers) an...
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Fei Wang, Zhenfang Zhu, Peiyu Liu and Peipei Wang
Social networks have attracted a lot of attention as novel information or advertisement diffusion media for viral marketing. Influence maximization describes the problem of finding a small subset of seed nodes in a social network that could maximize the ...
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Canh V. Pham, Dung K. T. Ha, Quang C. Vu, Anh N. Su and Huan X. Hoang
The Influence Maximization (????
IM
) problem, which finds a set of k nodes (called seedset) in a social network to initiate the influence spread so that the number of influenced nodes after propagation process is maximized, is an important problem in in...
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Canh V. Pham, Hieu V. Duong, Huan X. Hoang and My T. Thai
Competitive Influence Maximization (??????
CIM
) problem, which seeks a seed set nodes of a player or a company to propagate their product?s information while at the same time their competitors are conducting similar strategies, has been paid much attent...
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