A catholic and enhanced study of temporal visual backchannel for dynamically changing events in SNs present in clouds

  • Authors:
  • T. Bharat Kumar;C. Rajendra;A. Srilakshmi;Venu Madhav Kuthadi

  • Affiliations:
  • ASCET, Gudur, Nellore Dt, AP India;ASCET, Gudur, Nellore Dt, AP India;Govt. Degree College for women Srikalahasti, A. P India;University of Johannesburg, South Africa

  • Venue:
  • Proceedings of the CUBE International Information Technology Conference
  • Year:
  • 2012

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Abstract

In the intelligence civilization, in addition to practical competence and information technologies, it is becoming increasingly critical for people to develop a wider rage and encouraging social connections. Micro blogging communities that support updates, sharing new information like text, images, and videos time to time provided with privacy such as twitter. A twitter is Micro blog that uses digital backchannels to represent the timely exchange of pithy comments and impressions in large events. At present, mutual updates displayed in the form of a simple catalogue (list), making it difficult to get an overview of the communication that proceeds rapidly. This will confuse the participants of the twitter from the main event occurred. In other way, our Visual Backchannel design provides an evolving, interactive, and multi-faceted visual overview of large-scale ongoing conversations on Twitter. To visualize an uninterrupted updating information stream, we include visual saliency for what is happening at this moment and what has just occurred a moment ago, set in the context of the evolving conversation. For visual system we introduce a Temporal adjustable Stacked graph represents topic streams that visualizes topic over time accompanied by two compact visualizations, people Spiral, Image Cloud that has shared images which are going to be varied according to the popularity in the events together with post listing all these are linked with the time ranges. We consider our design considerations, in particular with respect to developing visualizations of dynamically changing data. Through the Extension representation of user's data supposed to increase the efficiency of the visual backchannel.