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Designing fair and unbiased metrics to measure the "level of excellence" of a scientist is a very significant task because they recently also have been taken into account when deciding faculty promotions, when allocating funds, and so on. Despite criticism that such scientometric evaluators are confronted with, they do have their merits, and efforts should be spent to arm them with robustness and resistance to manipulation. This article aims at initiating the study of the coterminal citationstheir existence and implications-and presents them as a generalization of self-citations and of co-citation; it also shows how they can be used to capture any manipulation attempts against scientometric indicators, and finally presents a new index, the f index, that takes into account the coterminal citations. The utility of the new index is validated using the academic production of a number of esteemed computer scientists. The results confirm that the new index can discriminate those individuals whose work penetrates many scientific communities.

Blogs have recently become one of the most favored services on the Web. Many users maintain a blog and write posts to express their opinion, experience and knowledge about a product, an event and every subject of general or specific interest. More users visit blogs to read these posts and comment them. This "participatory journalism" of blogs has such an impact upon the masses that Keller and Berry argued that through blogging "one American in tens tells the other nine how to vote, where to eat and what to buy" [9]. Therefore, a significant issue is how to identify such influential bloggers. This problem is very new and the relevant literature lacks sophisticated solutions, but most importantly these solutions have not taken into account temporal aspects for identifying influential bloggers, even though the time is the most critical aspect of the Blogosphere. This article investigates the issue of identifying influential bloggers by proposing two easily computed blogger ranking methods, which incorporate temporal aspects of the blogging activity. Each method is based on a specific metric to score the blogger's posts. The first metric, termed MEIBI, takes into consideration the number of the blog post's inlinks and its comments, along with the publication date of the post. The second metric, MEIBIX, is used to score a blog post according to the number and age of the blog post's inlinks and its comments. These methods are evaluated against the state-of-the-art influential blogger identification method utilizing data collected from a real-world community blog site. The obtained results attest that the new methods are able to better identify significant temporal patterns in the blogging behaviour.

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Defines the UK methodology in calculating and allocating FISIM, describing the changes to the National Accounts.This article was first released on the National Statistics website to coincide with the launch by the Office for National Statistics of the experimental statistics release and transmission to the European Commission of new estimates reflecting changes to the way that FinancialIntermediation Services Indirectly Measured (FISIM) is treated in the UK National Accounts.The article defines the UK methodology in calculating and allocating FISIM and describes the changes to the National Accounts. It also provides the impacts of early estimates at both current prices and chained volume measures on gross domestic product levels and growth.Economic & Labour Market Review (2007) 1, 29–37; doi:10.1057/palgrave.elmr.1410073