Results 201 to 210 of about 28,536 (223)

Influential node ranking via randomized spanning trees

Physica A: Statistical Mechanics and its Applications, 2019
Abstract Networks portraying a diversity of interactions among individuals serve as the substrates(media) of information dissemination. One of the most important problems is to identify the influential nodes for the understanding and controlling of information diffusion and disease spreading.
Zhen Dai, Ping Li, Yan Chen, Kai Zhang, Jie Zhang   +4 more
openaire   +1 more source

Identifying Influential Nodes Based on Vital Communities

2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2018
To dig the different structural and functional characteristics of the network, the research on complex networks focus in the field ranges from mesoscopic perspective on community structure to microscopic perspective on importance of nodes. However, most of these researches fail to make a combination of community detection and influential nodes.
Yafei Wang, Guanghui Yan, Qingqing Ma, Yu Wu, Meng Zhang   +4 more
openaire   +1 more source

Influential Node Identification of Network Based on Agglomeration Operation

International Journal of Foundations of Computer Science, 2023
Networks with distinct topological structures varies in the ability to resist different kinds of attacks. Node protection in terms of node importance is an effective way to ensure the reliable communication of networks. Thus, the protection of influential node detected by node importance evaluation is beneficial to strengthen the invulnerability and ...
Baohua Niu, Shuming Zhou, Hong Zhang
openaire   +2 more sources

General link prediction with influential node identification

Physica A: Statistical Mechanics and its Applications, 2019
Abstract Link Prediction, which aims to infer the missing or future connections between two nodes, is a key step in many complex network analysis areas such as social friend recommendation and protein function prediction. A majority of existing efforts are devoted to define the influence of neighbor nodes.
Jiehua Wu, Jing Shen, Bei Zhou, Xiayan Zhang, Bohuai Huang   +4 more
openaire   +1 more source

Finding the Influential Overlap Nodes in Communities

2015 IEEE International Conference on Computational Intelligence & Communication Technology, 2015
Real world networks comprise of number of communities that are weakly linked to each other. Discovering such communities is an important task in social networks. Social networks also consist of overlapping communities in which some nodes are common to multiple communities.
Rhythm Walia, Geetika Sarna, M.P.S. Bhatia   +2 more
openaire   +1 more source

Identifying influential nodes based on local dimension

EPL (Europhysics Letters), 2014
How to identify influential nodes in complex networks is still an open issue. In this paper, we propose a novel method to identify influential nodes based on the local dimension (LD) of each node, where low LD values are suggestive of high influence.
Jun Pu, Xiaowu Chen, Daijun Wei, Qi Liu, Yong Deng   +4 more
openaire   +1 more source

Exploring influential nodes using multi-attribute information

2015 11th International Conference on Natural Computation (ICNC), 2015
In recent years there has been greatly increased interests in finding influential nodes in social networks. For a long time, PageRank has been widely used and has also been adopted as a solid baseline in the field of influence maximization. However, there are all kinds of interactions among social entities which contributes to varieties of ...
null Ping He, null Jing Wang, null Weisi Feng, null Li Li   +3 more
openaire   +1 more source

Influential Nodes in the Australian PID Graph

2023
The Australian Persistent Identifier (PID) graph (also known as National PID Graph) connects Australian research to funders, research activities, and research outcomes using persistent identifiers. Connections between ORCID, ROR, DOI, RAID, and other PIDs provide a valuable source of information about the digital footprint of research and the ...
openaire   +1 more source

Intelligent detection of influential nodes in networks

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
Detection of influential nodes in networks is a key problem of prime importance for a plenty of important practical applications. Social networks, covert networks like terrorist networks have an important feature of “influential” nodes which have great implications ranging from marketing, advertisement, recommendation, controlling the spread of ...
Surajit Dasgupta, Chandan Prakash
openaire   +1 more source

Identifying Top-K Influential Nodes in Networks

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Network Centrality is one of the core concepts in network analysis, which ranks the importance of a node in a network. A considerably extensive range of centrality measures exist that serve the purpose of quantifying the importance of a node according to its application and domain.
Sara Mumtaz, Xiaoyang Wang
openaire   +1 more source