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Label propagation algorithm for community discovery based on centrality and common neighbours
We propose a label propagation-based algorithm to extract community structure using a new similarity measure based on centrality and common...
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Topic-based influential user detection: a survey
Online Social networks have become an easy means of communication for users to share their opinion on various topics, including breaking news, public...
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MCD: A modified community diversity approach for detecting influential nodes in social networks
Over the last couple of decades, Social Networks have connected people on the web from across the globe and have become a crucial part of our daily...
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Supervised ranking approach to identify infLuential websites in the darknet
The anonymity and high security of the Tor network allow it to host a significant amount of criminal activities. Some Tor domains attract more...
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IS-PEW: Identifying Influential Spreaders Using Potential Edge Weight in Complex Networks
Identifying the influential spreaders in complex networks has emerged as an important research challenge to control the spread of (mis)information or...
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Finding Influential Nodes in Complex Networks Using Nearest Neighborhood Trust Value
Information spreading in complex networks is an emerging topic in many applications such as social leaders, rumour control, viral marketing, and...
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A study of the effect of influential spreaders on the different sectors of Indian market and a few foreign markets: a complex networks perspective
Market competition has a role that is directly or indirectly associated with the influential effects of individual sectors on other sectors of the...
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Identifying influential nodes in complex networks using a gravity model based on the H-index method
Identifying influential spreaders in complex networks is a widely discussed topic in the field of network science. Numerous methods have been...
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Influential Node Detection in Online Social Network for Influence Minimization of Rumor
In any online social media platform, it is necessary to reduce the effect of rumor data from original information as it may cause harm to society....
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Influential users identification under the non-progressive LTIRS model
Identification of the key influencers is one of the most important strategies for initiating any transmission process in a social network. However,...
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Neighbours under the North Star: Civil wars in Finland and Korea
The article has two objectives. The first one is to advance the existing studies on civil wars by developing a comparative approach. It explores...
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Detecting influential node in a network using neutrosophic graph and its application
The identification of a central node in a network is one of the important tasks of social networks. Nowadays, the central node helps grow online...
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EDGly: detection of influential nodes using game theory
Identifying those nodes that play a critical role within a network is of great importance. Many applications such as gossip spreading, disease...
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CIM: clique-based heuristic for finding influential nodes in multilayer networks
Identifying Influential nodes (Influence maximization) in complex networks is an essential factor for spreading and controlling the information...
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The Burning Number Conjecture is True for Trees without Degree-2 Vertices
Graph burning is a discrete time process which can be used to model the spread of social contagion. One is initially given a graph of unburned...
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Identifying K-Most Influential Nodes in a Social Network Using K-Hybrid Method of Ranking
Online social networks contain a lot of information about people, their interests, activities, behaviour patterns, etc., and can be efficient to find...
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Optimal location query based on k nearest neighbours
Optimal location query in road networks is a basic operation in the location intelligence applications. Given a set of clients and servers on a road...
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Enhancement of Voting Scores with Multiple Attributes Based on VoteRank++ to Identify Influential Nodes in Social Networks
With the prosperity of social networks, Influence maximization is a crucial analysis drawback within the field of network science due to its business...
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Influence maximization in social networks: a survey of behaviour-aware methods
Social networks have become an increasingly common abstraction to capture the interactions of individual users in a number of everyday activities and...
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Are fencelines sites of engagement or avoidance in farmer adoption of alternative practices?
Understanding what factors can positively or negatively affect farmers’ decisions to adopt new practices is of particular importance to agricultural...
