1,720,971 research outputs found

    METHOD AND SYSTEM FOR DETERMINING ROAD TRAFFIC JAMS BASED ON INFORMATION DERIVED FROM A PLMN

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    A method of estimating traffic jams on a roads network includes receiving information from at least one cellular PLMN covering a geographic region wherein at least one road of the roads network to be monitored is located. The information includes data related to call traffic handled by the cellular PLMN in an at least one area of the geographic region, and an indication related to a mobility of mobile terminals into/out of the area The method may further include providing an indication of traffic jam in the at least one road in case the call traffic handled by the cellular PLMN in the at least one area exceeds a first threshold and the indication related to the mobility of mobile terminals into/out of the area trespasses a second threshol

    Estimating attendance from cellular network data

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    An automatic estimate of the number of attendees to events happening in the city can provide valuable information to geographic information systems and geo-located applications. We present a methodology to estimate the number of events’ attendees from cellular network data. In this work, we used anonymized Call Detail Records (CDRs) comprising data on where and when users access the cellular network. Our approach is based on two key ideas: (1) we identify the network cells associated with the event location. (2) We verify the attendance of each user, as a measure of whether (s)he generates CDRs during the event, but not during other times. We evaluate our approach to estimate the number of attendees to a number of events ranging from football matches in stadiums to concerts and festivals in open squares. Comparing our results with the best groundtruth data available, our estimates provide a median error of less than 15% of the actual number of attendees

    Method and system for identifying significant locations through data obtainable from a telecommunication network

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    A method for identifying and locating at least one relevant location visited by at least one individual within a geographical area served by a wireless telecommunication network is proposed. The method comprising the following steps: selecting (203) a predetermined time period (T) over which the identifying and locating of the at least one relevant location have to be performed, selecting (206,209) a typology of relevant location to be identified and located, retrieving (218) recorded time and position data recorded by the telecommunication network and regarding events (e i ) in which a user equipment carried by the at least one individual interacted with the telecommunication network, computing (236) a probability that each event for which recorded time and position data have been retrieved occurred in the relevant location of the selected type based on the recorded time data, identifying and clustering (239) events occurred within a predefined distance from each other and having a similar probability, computing (242) a weight value for each cluster of events identified in order to take into account statistical aspects that affect the identification and the positioning of the selected relevant location, comparing (251) the weight value with a threshold weight value, if the weight value is equal to, or greater than, the threshold weight value, identifying (254) the relevant location as belonging to the selected typology of relevant location, and providing (230) an indication of the position of the at least one relevant location based on the recorded position data of the events of the cluster, or if the weight value is lower than the threshold weight value, identifying (224) the relevant location as not belonging to the selected typology of relevant location

    Automatic identification of relevant places from cellular network data

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    We present a methodology to automatically identify users’ relevant places from cellular network data.1 In this work we used anonymized Call Detail Record (CDR) comprising information on where and when users access the cellular network. The key idea is to effectively cluster CDRs together and to weigh clusters to determine those associated to frequented places. The approach can identify users’ home and work locations as well as other places (e.g., associated to leisure and night life). We evaluated our approach threefold: (i) on the basis of groundtruth information coming from a fraction of users whose relevant places were known, (ii) by comparing the resulting number of inhabitants of a given city with the number of inhabitants as extracted by the national census. (iii) Via stability analysis to verify the consistency of the extracted results across multiple time periods. Results show the effectiveness of our approach with an average 90% precision and recall

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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