Influential node detection is a central research topic in social network analysis. Many existing methods rely on the assumption that the network structure is completely known a priori. However, in many applications, network structure is unavailable to explain the underlying information diffusion phenomenon. To address the challenge of information diffusion analysis with incomplete knowledge of ...

Predicting influential users is one of the important research problems on social network analysis. It helps to understand many complicated phenomena including information dissemination. It can be employed in many real world applications such as viral marketing. Influential users can influence social network users using their attributes, strategic locations or expertises. In this paper, we tackl...

Identifying outliers and high-leverage points is a fundamental step in the least-squares regression model building process. Various influence measures based on different motivational arguments, and designed to measure the influence of observations on different aspects of various regression results, are elucidated and critiqued here. On the basis of a statistical analysis of the residuals (class...

Capturing the predominant driver genes is critical in the analysis of high-throughput experimental data; however, existing methods scarcely include the unique characters of biological networks. Herein we introduced a ranking-based computational framework (inFRank) to rank the proteins by their influence. Using inFRank, we identified the top 20 influential genes in hepatocellular carcinoma (HCC)...

The distributions of medical costs are often skewed to the right because small numbers of patients use large amounts of health care resources. Using data from a study of colon cancer costs, we show, by example, the impact and magnitude of outliers and influential observations on health care costs and compared the effects of statistical costing methods for addressing the disproportionate influen...

Identifying influential nodes in complex networks has received increasing attention for its great theoretical and practical applications in many fields. Some classical methods, such as degree centrality, betweenness centrality, closeness centrality, and coreness centrality, were reported to have some limitations in detecting influential nodes. Recently, the famous h-index was introduced to the ...

To determine influences on the production of a scientific article, the content of the article must be studied.We examined articles in biogeography and found that most of the influence is not cited, specific types of articles that are influential are cited while other types of that also are influential are not cited, and work that is “uncited” and “seldom cited” is used extensively. As a result,...

Fashion toys are a multi-element concept that incorporates art, design and painting, The POP MART (PM) become one of the most fashionable toy brands worldwide. This paper examined reasons PM 's blind box products have very popular in recent years, terms marketing mix theory, why more young people also becoming willing to buy boxes. In addition, this used SWOT conduct comprehensive analysis PM, ...

Variations in group sub-languages evolve quickly and are a key marker of social boundaries such as those between professions, workgroups, tribes and families. In this paper we present a quantitative analysis of the effects of group structure on language use in naturalistic interaction. The data come from text chat interactions in an online social community. Using statistical techniques develope...