1,720,960 research outputs found
Unveiling Competition Dynamics in Mobile App Markets through User Reviews
User reviews published in mobile app repositories are essential for
understanding user satisfaction and engagement within a specific market
segment. Manual analysis of reviews is impractical due to the large data
volume, and automated analysis faces challenges like data synthesis and
reporting. This complicates the task for app providers in identifying patterns
and significant events, especially in assessing the influence of competitor
apps. Furthermore, review-based research is mostly limited to a single app or a
single app provider, excluding potential competition analysis. Consequently,
there is an open research challenge in leveraging user reviews to support
cross-app analysis within a specific market segment. Following a case-study
research method in the microblogging app market, we introduce an automatic,
novel approach to support mobile app market analysis. Our approach leverages
quantitative metrics and event detection techniques based on newly published
user reviews. Significant events are proactively identified and summarized by
comparing metric deviations with historical baseline indicators within the
lifecycle of a mobile app. Results from our case study show empirical evidence
of the detection of relevant events within the selected market segment,
including software- or release-based events, contextual events and the
emergence of new competitors
Unveiling Competition Dynamics in Mobile App Markets through User Reviews
<p>This replication package contains the datasets and evaluation results for the research titled <i>"<strong>Unveiling Competition Dynamics in Mobile App Markets through User Reviews"</strong>, </i>by Quim Motger, Xavier Franch, Vincenzo Gervasi and Jordi Marco.</p><p>Latest version of the full code is available at: <a href="https://github.com/quim-motger/app-market-analysis">https://github.com/quim-motger/app-market-analysis</a></p>
Unveiling Competition Dynamics in Mobile App Markets through User Reviews
<p>This replication package contains the datasets and evaluation results for the research titled <i>"<strong>Unveiling Competition Dynamics in Mobile App Markets through User Reviews"</strong>, </i>by Quim Motger, Xavier Franch, Vincenzo Gervasi and Jordi Marco.</p><p>Latest version of the full code is available at: <a href="https://github.com/quim-motger/app-market-analysis">https://github.com/quim-motger/app-market-analysis</a></p>
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
Software-Based Dialogue Systems: Survey, Taxonomy and Challenges
The use of natural language interfaces in the field of human-computer
interaction is undergoing intense study through dedicated scientific and
industrial research. The latest contributions in the field, including deep
learning approaches like recurrent neural networks, the potential of
context-aware strategies and user-centred design approaches, have brought back
the attention of the community to software-based dialogue systems, generally
known as conversational agents or chatbots. Nonetheless, and given the novelty
of the field, a generic, context-independent overview on the current state of
research of conversational agents covering all research perspectives involved
is missing. Motivated by this context, this paper reports a survey of the
current state of research of conversational agents through a systematic
literature review of secondary studies. The conducted research is designed to
develop an exhaustive perspective through a clear presentation of the
aggregated knowledge published by recent literature within a variety of
domains, research focuses and contexts. As a result, this research proposes a
holistic taxonomy of the different dimensions involved in the conversational
agents' field, which is expected to help researchers and to lay the groundwork
for future research in the field of natural language interfaces
Dispelling the Myths Behind First-author Citation Counts
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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