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Vizster: visualizing online social networks

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- pp 32-39
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This article is published in IEEE Symposium on Information Visualization.The article was published on 2005-01-01. It has received 80 citations till now. The article focuses on the topics: Computational geometry & Data visualization.

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Toward a Deeper Understanding of the Role of Interaction in Information Visualization

TL;DR: Seven general categories of interaction techniques widely used in Infovis are proposed, organized around a user's intent while interacting with a system rather than the low-level interaction techniques provided by a system.
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NodeTrix: a Hybrid Visualization of Social Networks

TL;DR: NodeTrix is presented, a hybrid representation for networks that combines the advantages of two traditional representations: node-link diagrams are used to show the global structure of a network, while arbitrary portions of the network can be shown as adjacency matrices to better support the analysis of communities.
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Profiles as Conversation: Networked Identity Performance on Friendster

TL;DR: This paper draws on data gathered through ethnography and reaffirmed through data collection and visualization to analyze the communicative aspects of Profiles within the Friendster service, and explores the shift from conversation to static representation, as active Profiles fossilize into recorded traces.
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Casual Information Visualization: Depictions of Data in Everyday Life

TL;DR: This paper proposes a new subdomain for infovis research that complements the focus on analytic tasks and expert use and proposes casual information visualization (or casualinfovis) as a complement to more traditional infovIS domains.
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Design Study of LineSets, a Novel Set Visualization Technique

TL;DR: This paper presents a design study of a novel set visual representation, LineSets, consisting of a curve connecting all of the set's elements, and demonstrates that the generated curves do as well as human-drawn ones.
References
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Proceedings ArticleDOI

The eyes have it: a task by data type taxonomy for information visualizations

TL;DR: A task by data type taxonomy with seven data types and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts) is offered.
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Fast algorithm for detecting community structure in networks.

TL;DR: An algorithm is described which gives excellent results when tested on both computer-generated and real-world networks and is much faster, typically thousands of times faster, than previous algorithms.
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A hierarchical O(N log N) force-calculation algorithm

TL;DR: A novel method of directly calculating the force on N bodies that grows only as N log N is described, using a tree-structured hierarchical subdivision of space into cubic cells, each is recursively divided into eight subcells whenever more than one particle is found to occupy the same cell.
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Coauthorship networks and patterns of scientific collaboration.

TL;DR: This work uses data from three bibliographic databases in biology, physics, and mathematics to answer a broad variety of questions about collaboration patterns, such as the numbers of papers authors write, how many people they write them with, and what the typical distance between scientists is through the network.
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Public Displays of Connection

Judith Donath, +1 more
TL;DR: The social implications of the public display of one's social network are explored and several design recommendations for future networking sites are included.
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