In this article I examine whether turnout in the 2000 presidential election was influenced by closeness and candidate expenditures. Evidence that closeness affects turnout supports the theory that voters assign more weight to their votes in close elections. Evidence that expenditures increase turnout provides support for the argument that greater mobilization efforts increase turnout in close e...

Centrality is a family of metrics for characterizing the importance vertex in graph. Although large number centrality have been proposed, majority them ignores uncertainty graph data. In this paper, we formulate closeness on uncertain graphs and define batch evaluation problem that computes subset vertices an We develop three algorithms, MS-BCC , MG-BCC MGMS-BCC based sampling to approximate sp...

t-Closeness is a privacy model recently defined for data anonymization. A data set is said to satisfy t-closeness if, for each group of records sharing a combination of key attributes, the distance between the distribution of a confidential attribute in the group and the distribution of the attribute in the data is no more than a threshold t. We state here the t-closeness property in terms of i...

This paper implements an estimated ranking algorithm of closeness centrality measures in large-scale workflow-supported social networks. The traditional ranking algorithms for large-scale networks have suffered from the time complexity problem. The larger the network size is, the bigger dramatically the computation time becomes. To solve the problem on calculating ranks of closeness centrality ...