1,720,954 research outputs found
INVESTIGATING SELECTED EGOCENTRIC USERS ON SOCIAL MEDIA PLATFORMS USING SOCIAL NETWORK ANALYSIS IN MINING FORENSIC EVIDENCE FOR LAW ENFORCEMENT IN KENYA
FULL TEXTInvestigation of social media using social network theory is a new powerful tool that will aid and ease law enforcement agencies in multi-faceted ways in this ever evolving digital landscape. It is against this backdrop that this study focused on identifying and investigating selected individuals on Facebook and Twitter social media platforms. In particular, selected respondents from University of Eldoret, Kibabii, Moi, Kisii and Rongo Universities were involved in the study. The objective of the study was to demonstrate how Social Network Analysis (SNA) can be employed as an investigate tool to mine, analyse data from selected online social media users and present digital forensic evidence to aid law enforcement in Kenya. Particularly, the study aimed at identifying high degree nodes in the network and their behavioural patterns and profiles using visualizations, network metrics and user profile/demographic information. Social network analysis experimental research design was employed in this study. The sample size of the respondents was arrived at by employing Yamane’s formula of calculating sample size. The respondents were guided to create pseudoonline parody accounts in various social media platforms which was used to carry out the online data mining from the selected respondents to aid in social network analysis. The significance of the study was to fill the knowledge gap that hitherto not been researched by previous scholars yet it is imperative area as far as cyber-security and law enforcement is concerned in Kenya. Data mining and analysis was done using NodeXL, an Add-in tool in Ms-Excel for social network analysis. Computation of centrality measures, network clusters, cliques were presented using both infographic visualizations and centrality metrics of the respondents on egocentric networks Focal communication paths through which information flows in the network were also depicted. The findings demonstrated that Social Network Analysis can be effectively used on social media platforms to mine, analyse and present digital forensic evidence of individuals under investigation. The outcome of this study gives a new insight and techniques that can help law enforcement agencies and related stakeholders to identify or detect important individuals, subgroups, interaction patterns between subgroups and roles they play in a given network. The findings presented in this research illustrates how social network analysis can be used to determine the interpersonal connections, importance of actors in a given social network and detect communities of people and principally how law enforcement agencies can utilize this technique in identifying and tracking suspicious characters and ultimately help in maintaining law and order. SNA ought to be embraced as a supplement of conventional investigation, not necessarily replacing it
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
- …
