Centrality in Social Networks

The Influence of Location on Nodes’ Centrality in Location-Based Social Networks

Nowadays, due to the widespread use of social networks, they can be used as a convenient, low-cost, and affordable tool for disseminating all kinds of information and data among the massive users of these networks. Issues such as marketing for new products, informing the public in critical situations, and disseminating medical and technological innovations are topics that have been considered b...

A Fast Approach to the Detection of All-Purpose Hubs in Complex Networks with Chemical Applications

A novel algorithm for the fast detection of hubs in chemical networks is presented. The algorithm identifies a set of nodes in the network as most significant, aimed to be the most effective points of distribution for fast, widespread coverage throughout the system. We show that our hubs have in general greater closeness centrality and betweenness centrality than vertices with maximal degree, w...

finding influential individual in Social Network graphs using CSCS algorithm and shapley value in game theory

In recent years, the social networks analysis gains great deal of attention. Social networks have various applications in different areas namely predicting disease epidemic, search engines and viral advertisements. A key property of social networks is that interpersonal relationships can influence the decisions that they make. Finding the most influential nodes is important in social networks b...

Running head: CENTRALITY AND EXPERTISE IN MATH SOCIAL NETWORKS Teacher Advice-seeking: Relating Centrality and Expertise in Middle School Mathematics Social Networks CENTRALITY AND EXPERTISE IN MATH SOCIAL NETWORKS

A New Centrality Measure for Tracking Online Community in Social Network

This paper presents a centrality measurement and analysis of the social networks for tracking online community. The tracking of single community in social networks is commonly done using some of the centrality measures employed in social network community tracking. The ability that centrality measures have to determine the relative position of a node within a network has been used in previous r...

Centrality in affiliation networks

This paper discusses the conceptualization, measurement, and interpretation of centrality in affiliation networks. Although centrality is a well-studied topic in social network analysis, and is one of the most widely used properties for studying affiliation networks, virtually all discussions of centrality and centralization have concerned themselves with one-mode networks. Bonacich's work on s...