1,720,959 research outputs found
Collection, Analysis, and Monitoring of Social Media Content
No full textSocial network sites are currently booming with their popularity and usage of the users all around the globe. There are so many on-line networking sites which currently allowing all users to create their respective profile and creating a connection with their own involvement and preparing their own preferred network so that they can participate in their exciting information. The data they exchange that could be based on opinion, observation, or comment on already posted material or they might upload their photo, videos and etc. The exciting perspective of the users on the social network is that the social network site shares the similar interest, activities, real-life and background connections of the social network among the users from the user’s connected network. Measuring and analyzing of users’ certain exchange of information on the on-line social network for the specific case studies, for example, predicting of any event, activity of demonstration or getting the users’ point of view regarding any product information terror act and planning of any activity. Our researchobjectives have focused on measuring the effectiveness of user-generated activity and content on various social networking sites, such as YouTube and twitter. Interchange of information for the users is one of the main research focus of the Industry. They might be able to predict any activity or any product reviews that they might receive a marketing advantage for their products and also for the intelligence agencies they might get information in advance of anyexpected event terror plot for any country, so that otherwise it would not have been humanly possible because of a lot of information exchange. The current subject of the research is to detect the communities, network and sentiment analysis of the user’s comments or any place of the users that is being shared with any of the networks. The user structure of the social web for the sharing of the data is also one of the exciting for the users.In this dissertation, we have used measurement techniques for the subject of the social net information for measuring and turning over the insight of users with their network based on text and related keyword search from a different social network. We first have collected data based on keywords using API’s provided by the on-line social network, by capturing information connected to the case studies we have used our developed measure to quantify from the data based on sentiment analysis and network relation. The proposed methods have been implemented as software tools to provide features for the collection, monitoring, and processing of social media content. In this thesis, our focus was on You-Tube and twitter, but in future we can extend the proposed methods and apply the tools on other social networking sites, in general, to be as effective as possible.In addition, to the data, we have also been able to have identified the filtration on every data collection and analysis so the meaningful insight of the users can be identified in terms of network and word of mouth of users
Collection, Analysis, and Monitoring of Social Media Content
No full textSocial network sites are currently booming with their popularity and usage of the users all around the globe. There are so many on-line networking sites which currently allowing all users to create their respective profile and creating a connection with their own involvement and preparing their own preferred network so that they can participate in their exciting information. The data they exchange that could be based on opinion, observation, or comment on already posted material or they might upload their photo, videos and etc. The exciting perspective of the users on the social network is that the social network site shares the similar interest, activities, real-life and background connections of the social network among the users from the user’s connected network. Measuring and analyzing of users’ certain exchange of information on the on-line social network for the specific case studies, for example, predicting of any event, activity of demonstration or getting the users’ point of view regarding any product information terror act and planning of any activity. Our researchobjectives have focused on measuring the effectiveness of user-generated activity and content on various social networking sites, such as YouTube and twitter. Interchange of information for the users is one of the main research focus of the Industry. They might be able to predict any activity or any product reviews that they might receive a marketing advantage for their products and also for the intelligence agencies they might get information in advance of anyexpected event terror plot for any country, so that otherwise it would not have been humanly possible because of a lot of information exchange. The current subject of the research is to detect the communities, network and sentiment analysis of the user’s comments or any place of the users that is being shared with any of the networks. The user structure of the social web for the sharing of the data is also one of the exciting for the users.In this dissertation, we have used measurement techniques for the subject of the social net information for measuring and turning over the insight of users with their network based on text and related keyword search from a different social network. We first have collected data based on keywords using API’s provided by the on-line social network, by capturing information connected to the case studies we have used our developed measure to quantify from the data based on sentiment analysis and network relation. The proposed methods have been implemented as software tools to provide features for the collection, monitoring, and processing of social media content. In this thesis, our focus was on You-Tube and twitter, but in future we can extend the proposed methods and apply the tools on other social networking sites, in general, to be as effective as possible.In addition, to the data, we have also been able to have identified the filtration on every data collection and analysis so the meaningful insight of the users can be identified in terms of network and word of mouth of users
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Assessing Determinants of Adoption Behaviour of the Cryptocurrency in Pakistan
Full text linkThis study investigates the perception of people regarding the usage of cryptocurrency since its usage has been increasing in Pakistan. The study is based on a survey questionnaire to assess the elements that impact behaviours towards the use of cryptocurrency. The gathered data was analysed using statistical package PLS-SEM. The findings of the study present a significant influence of perceived benefits, social impact, facilitating conditions and usage trustworthiness on the usage of cryptocurrency. The study also found the mediating effect of hedonic motivation and moderating effect of Innovativeness on the usage of cryptocurrency while connecting with perceived benefits, social impact, facilitating conditions and usage trustworthiness. Nevertheless, the direct impact of Risk and mediating effect of Hedonic Motivation with perceived benefits and risk were found insignificant. Statistical studies revealed many theoretical and managerial implications for further studies to improve the adoption behaviour of cryptocurrency. Examined results suggest a path for theoretical and managerial implications, suggesting to provide environment for its use in Pakistan
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