A Comparative Study Of Large-Scale Network Data Visualization Tools

One of the most important parts of Data Analysis is Data Visualization [15]. The easy thing about Data Visualization is that there are hundreds of ways to do it, one better than the other. Ironically, however, it is difficult to choose the right tool for the job. This can be a concern because it is really important to know which tool is best depending on the resources we have. This thesis tries to answer that question – to an extent. In this thesis, I have tried to compare three Data Visualization tools: Gephi, Pajek and NodeXL. I have mainly discussed what each tool can do, what each tool is best at, and when to and when not to use each tool. Therefore, using the right tool can not only save us a lot of time by making the task easy and get the work done using a minimal number of resources, but also help to get the best results. The comparison is based on what Visualization features each tool has, how each tool computes different graph features, and how Compatible and Scalable each tool is. In the process, I used different Network datasets and tried to calculate certain features of the graph and wrote the findings. The end report discusses which tool can be best to use given the size of dataset, the problem we are trying to solve, the resources we have and the time we can spend

The Forum Selection Defense

The central goal of this thesis is creating and testing technology toproduce embodied interaction experiences. Embodied interaction is thesense that we inhabit a digital space with our minds operating on it asif it were our physical bodies, without conscious thought, but as naturalas reaching out with your ngers and touching the object in front of you.Traditional interaction techniques such as keyboard and mouse get in theway of achieving embodiment. In this thesis, we have created an embodiedperspective of virtual three-dimensional objects oating in front of a user.Users can see the object from a rst-person perspective without a headsupdisplay and can change the perspective of the object by shifting theirpoint of view. The technology and aordances to make this possible in aunobtrusive, practical and ecient way is the subject of this thesis.Using a depth sensor, Microsoft's Kinect [7], we track the user's positionin front of a screen in real-time, thus making it possible to changethe perspectives seen by each of the user's eyes to t their real point ofview, in order to achieve a 3D embodied interaction outside the screen.We combined the rst-person perspective into an embodied sculptingproject that includes a wireless haptic glove to allow the user to feel whentouching the model and a small one-hand remote controller used to rotatethe object around as the user desires when pressing its single button.We have achieved what we call Embodied Perspective, which involves anoutside-screen stereoscopic visualization, which reacts to body interactionas if the visualization was really where the user perceives it, thanks to thedata from the depth sensor. This method does not block the user's viewof their own body, but ts and matches their brain's perception.When applied to virtual sculpting (embodied sculpting), it gives theuser the ability to feel and understand much better their actions; wherethey are touching/sculpting and how they should move to reach wherethey want, since the movements are the same one would perform withtheir body in a real-world sculpting situation.A further study of the viability of this method, not only on singleperson interaction but on group visualization of a single user perspective,is discussed and proposed

Artefacts and Errors: Acknowledging Issues of Representation in the Digital: Imaging of Ancient Texts

It is assumed, in palaeography, papyrology and epigraphy, that a certain amount of uncertainty is inherent in the reading of damaged and abraded texts. Yet we have not really grappled with the fact that, nowadays, as many scholars tend to deal with digital images of texts, rather than handling the texts themselves, the procedures for creating digital images of texts can insert further uncertainty into the representation of the text created. Technical distortions can lead to the unintentional introduction of ‘artefacts’ into images, which can have an effect on the resulting representation. If we cannot trust our digital surrogates of texts, can we trust the readings from them? How do scholars acknowledge the quality of digitised images of texts? Furthermore, this leads us to the type of discussions of representation that have been present in Classical texts since Plato: digitisation can be considered as an alternative form of representation, bringing to the modern debate of the use of digital technology in Classics the familiar theories of mimesis (imitation) and ekphrasis (description): the conversion of visual evidence into explicit descriptions of that information, stored in computer files in distinct linguistic terms, with all the difficulties of conversion understood in the ekphratic process. The community has not yet considered what becoming dependent on digital texts means for the field, both in practical and theoretical terms. Issues of quality, copying, representation, and substance should be part of our dialogue when we consult digital surrogates of documentary material, yet we are just constructing understandings of what it means to rely on virtual representations of artefacts. It is necessary to relate our understandings of uncertainty in palaeography and epigraphy to our understanding of the mechanics of visualization employed by digital imaging techniques, if we are to fully understand the impact that these will have

Farrukh

“What is data and what it means” can only be understood by using Visualisation. Visualization helps us to observe whether data is according to economic theory or not, and also hilight different issues within data as well. By employing visualization, we found only a few series upon which, we can really apply co-integration. Furthermore, co-integration equation of Wang and Lee (2009) found misspecified due to ARCH effect. After adjusting it, we found significantly different results for the co-integration (for same data set). This significant difference is not only in empirical models but also in implication as well. For example, in the case of the US, we found a complete pass through for the deposit rate model

PI SA: A PERSONALIZED INFORMATION SEARCH ASSISTANT

A common characteristic of most of the traditional search and retrieval systems is that they are oriented towards a generic user, often failing in connecting people with what they are really looking for. In this paper we present PI SA, a Personalized Information Search Assistant, which, rather than relying on the unrealistic assumption that the user will precisely specify what she is really looking for when searching, leverages implicit information about the user\u27s interests. PI SA is a desktop application which provides the user with a highly personalized information space where she can create, manage and organize folders (similarly to email programs), and manage documents retrieved by the system into her folders to best fit her needs. Furthermore, PI SA offers different mechanisms to search the Web, and the possibility of personalizing result delivery and visualization. PI SA learns user and folder profiles from user\u27s choices, and uses these profiles to improve retrieval effectiveness in searching by selecting the relevant resources to query and filtering the results accordingly. A working prototype has been also developed, tested and evaluated. Preliminary user evaluation and experimental results are very promising, showing that the personalized search environment PI SA provides considerably increases effectiveness and user satisfaction in the searching process

InfoVis experience enhancement through mediated interaction

Information visualization is an experience in which both the aesthetic representations and interaction are part. Such an experience can be augmented through close consideration of its major components. Interaction is crucial to the experience, yet it has seldom been adequately explored in the field. We claim that direct mediated interaction can augment such an experience. This paper discusses the reasons behind such a claim and proposes a mediated interactive manipulation scheme based on the notion of directness. It also describes the ways in which such a claim will be validated. The Literature Knowledge Domain (LKD) is used as the concrete domain around which the discussions will be held

Exploring narrativity in data visualization in journalism

Many news stories are based on data visualization, and storytelling with data has become a buzzword in journalism. But what exactly does storytelling with data mean? When does a data visualization tell a story? And what are narrative constituents in data visualization? This chapter first defines the key terms in this context: story, narrative, narrativity, showing and telling. Then, it sheds light on the various forms of narrativity in data visualization and, based on a corpus analysis of 73 data visualizations, describes the basic visual elements that constitute narrativity: the instance of a narrator, sequentiality, temporal dimension, and tellability. The paper concludes that understanding how data are transformed into visual stories is key to understanding how facts are shaped and communicated in society

Educational Technology as Seen Through the Eyes of the Readers

In this paper, I present the evaluation of a novel knowledge domain visualization of educational technology. The interactive visualization is based on readership patterns in the online reference management system Mendeley. It comprises of 13 topic areas, spanning psychological, pedagogical, and methodological foundations, learning methods and technologies, and social and technological developments. The visualization was evaluated with (1) a qualitative comparison to knowledge domain visualizations based on citations, and (2) expert interviews. The results show that the co-readership visualization is a recent representation of pedagogical and psychological research in educational technology. Furthermore, the co-readership analysis covers more areas than comparable visualizations based on co-citation patterns. Areas related to computer science, however, are missing from the co-readership visualization and more research is needed to explore the interpretations of size and placement of research areas on the map.Comment: Forthcoming article in the International Journal of Technology Enhanced Learnin