The structure of scientific co-authorship networks can reveal patterns of scientific collaboration. Our study focused on developing a methodology for community finding in co-authorship networks that could reveal the real, i.e., physical, patterns of scientific collaboration, by using two datasets with different collaboration scopes: one considering only collaborations within Japanese research institutions from different research areas, and the other comprising worldwide collaborations in the area of Computer Science.
{"title":"Finding Research Communities and their Relationships by Analyzing the Co-authorship Network","authors":"Carolina Bento, Hideaki Takeda","doi":"10.1109/IV.2013.16","DOIUrl":"https://doi.org/10.1109/IV.2013.16","url":null,"abstract":"The structure of scientific co-authorship networks can reveal patterns of scientific collaboration. Our study focused on developing a methodology for community finding in co-authorship networks that could reveal the real, i.e., physical, patterns of scientific collaboration, by using two datasets with different collaboration scopes: one considering only collaborations within Japanese research institutions from different research areas, and the other comprising worldwide collaborations in the area of Computer Science.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115737493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We consider an approach to generative art which exploits the structure of magic squares as a generative engine. Magic squares are used for image generation by mapping their properties into visual schemes. Our underlying hypothesis is that order in some form can serve as a prerequisite for a particular set of aesthetic events. By resorting to a mathematical structure that is not formulated as a function, but for which an inherent order is present, we reduce the most difficult task in generative art, the design of a generative system, to the much easier task of designing representational schemes for the visualization of number patterns. A set of schemes to achieve this task has been realized within a joint project between programmers and artists. The results of this project are discussed and illustrated.
{"title":"Magic Squares and Aesthetic Events","authors":"Fang You, H. Dehlinger, Jianmin Wang, Yao Ming","doi":"10.1109/IV.2013.49","DOIUrl":"https://doi.org/10.1109/IV.2013.49","url":null,"abstract":"We consider an approach to generative art which exploits the structure of magic squares as a generative engine. Magic squares are used for image generation by mapping their properties into visual schemes. Our underlying hypothesis is that order in some form can serve as a prerequisite for a particular set of aesthetic events. By resorting to a mathematical structure that is not formulated as a function, but for which an inherent order is present, we reduce the most difficult task in generative art, the design of a generative system, to the much easier task of designing representational schemes for the visualization of number patterns. A set of schemes to achieve this task has been realized within a joint project between programmers and artists. The results of this project are discussed and illustrated.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114516138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a new method for computing a quantitative score which can help in detecting cluster outliers using visualisation task. Self-organising map is incorporated in the proposed approach. The proposed method is evaluated on a number of datasets from UCI. Visualizations and experimental results show that GOF sensibly improves the results in term of cluster-outlier detection. The development of the SOM based visualization tool intends to provide additional exploratory data analysis techniques by offering a tool that allows effective extraction and exploration of patterns.
{"title":"A New Visualization of Group-Outliers in Unsupervised Learning","authors":"A. Chaibi, M. Lebbah, Hanene Azzag","doi":"10.1109/IV.2013.20","DOIUrl":"https://doi.org/10.1109/IV.2013.20","url":null,"abstract":"This paper presents a new method for computing a quantitative score which can help in detecting cluster outliers using visualisation task. Self-organising map is incorporated in the proposed approach. The proposed method is evaluated on a number of datasets from UCI. Visualizations and experimental results show that GOF sensibly improves the results in term of cluster-outlier detection. The development of the SOM based visualization tool intends to provide additional exploratory data analysis techniques by offering a tool that allows effective extraction and exploration of patterns.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127207872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mapping a dynamic graph dataset to an inappropriate visualization leads to a degradation of visualization performance at some task. To tap the full potential of existing dynamic graph visualization techniques, we propose a methodology for matching application requirements with dynamic graph visualization profiles. We target at supporting experts choosing the right visualization technique. Our methodology describes both the application requirements and the visualization techniques as profiles covering important aesthetic criteria for visualizing dynamic graphs. Characteristics of the graph and task are used to derive the application profile. The probably most appropriate visualization technique is the one whose profile matches best the required application profile. We compile exemplary visualization profiles for representatives of dynamic graph visualization approaches and demonstrate the methodology in a case study.
{"title":"Matching Application Requirements with Dynamic Graph Visualization Profiles","authors":"Fabian Beck, Michael Burch, S. Diehl","doi":"10.1109/IV.2013.2","DOIUrl":"https://doi.org/10.1109/IV.2013.2","url":null,"abstract":"Mapping a dynamic graph dataset to an inappropriate visualization leads to a degradation of visualization performance at some task. To tap the full potential of existing dynamic graph visualization techniques, we propose a methodology for matching application requirements with dynamic graph visualization profiles. We target at supporting experts choosing the right visualization technique. Our methodology describes both the application requirements and the visualization techniques as profiles covering important aesthetic criteria for visualizing dynamic graphs. Characteristics of the graph and task are used to derive the application profile. The probably most appropriate visualization technique is the one whose profile matches best the required application profile. We compile exemplary visualization profiles for representatives of dynamic graph visualization approaches and demonstrate the methodology in a case study.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122289715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring log files for network intrusions is unwieldy. To build a mental model of the log, an analyst is required to recognise continuous timelines and attack patterns from a dataset that is essentially limited to an ordered list of events. Information Visualization techniques arrange data into directly perceivable visual patterns that may alleviate some overheads associated with interpreting these datasets and improve the ability of users, especially those in resource-stretched Small and Medium sized Businesses (SMBs), to make sense of activity patterns in Intrusion Detection System (IDS) event logs. To this end, we discuss existing network security visualizations for IDS logs and after examining the strengths and drawbacks of those applications we have prototyped a visualization tool, Pianola, that arranges events on multiple timelines to reveal patterns both in time and across a network. The tool was evaluated against the traditional use of command-line interface (CLI)-based tools for analyzing network security events and displayed significant improvements in both recognition and detection of attacks and reduction in the users' subjective workload, measured using the NASA Task Load index (TLX).
{"title":"Pianola - Visualization of Multivariate Time-Series Security Event Data","authors":"A. Thomson, Martin Graham, J. Kennedy","doi":"10.1109/IV.2013.15","DOIUrl":"https://doi.org/10.1109/IV.2013.15","url":null,"abstract":"Monitoring log files for network intrusions is unwieldy. To build a mental model of the log, an analyst is required to recognise continuous timelines and attack patterns from a dataset that is essentially limited to an ordered list of events. Information Visualization techniques arrange data into directly perceivable visual patterns that may alleviate some overheads associated with interpreting these datasets and improve the ability of users, especially those in resource-stretched Small and Medium sized Businesses (SMBs), to make sense of activity patterns in Intrusion Detection System (IDS) event logs. To this end, we discuss existing network security visualizations for IDS logs and after examining the strengths and drawbacks of those applications we have prototyped a visualization tool, Pianola, that arranges events on multiple timelines to reveal patterns both in time and across a network. The tool was evaluated against the traditional use of command-line interface (CLI)-based tools for analyzing network security events and displayed significant improvements in both recognition and detection of attacks and reduction in the users' subjective workload, measured using the NASA Task Load index (TLX).","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127984198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The proliferation of touch sensitive display screens has created a new generation of human-computer interaction styles which are so natural and common that even the youngest of users now perceive ordinary static media like a glossy magazine as a broken iPad. The volume of users who expect to be able to pinch, grab, twist and manipulate images on screen is rapidly growing; they drive a renewed interest in developing, assessing, and delivering new direct manipulation systems. Our premise is that one can exploit new technologies to develop new repertoires of direct manipulation, but with increasing pressure to provide semantically-coupled direct manipulation methods to experiment with computational information models. We develop this premise by noting highlights in the evolution of direct manipulation interfaces, and suggest that their selection and deployment can be tailored as visual experiments to debug and extend more complex computational models of information systems and processes. These systems and processes include those of natural systems such as arise in systems biology (e.g., modelling multiple levels of protein structure), but also in "unnatural" systems such as in the identification of hubs and authorities in artificial systems like the World Wide Web (WWW). The immediate consequence of our premise suggests that the design of direct manipulation tools should proceed with the semantics of the modelled systems in mind, so that each users' manipulations provide a new perspective on the concept of "data mining" of large data sets. This will allow users to not just expose implicit relationships, but to incrementally combine explanatory and exploratory investigation by direct manipulation, to adjust and improve the computational knowledge models that emerge from the underlying data.
{"title":"The Role of Direct Manipulation of Visualizations in the Development and Use of Multi-level Knowledge Models","authors":"R. Goebel, W. Shi, Yuzuru Tanaka","doi":"10.1109/IV.2013.95","DOIUrl":"https://doi.org/10.1109/IV.2013.95","url":null,"abstract":"The proliferation of touch sensitive display screens has created a new generation of human-computer interaction styles which are so natural and common that even the youngest of users now perceive ordinary static media like a glossy magazine as a broken iPad. The volume of users who expect to be able to pinch, grab, twist and manipulate images on screen is rapidly growing; they drive a renewed interest in developing, assessing, and delivering new direct manipulation systems. Our premise is that one can exploit new technologies to develop new repertoires of direct manipulation, but with increasing pressure to provide semantically-coupled direct manipulation methods to experiment with computational information models. We develop this premise by noting highlights in the evolution of direct manipulation interfaces, and suggest that their selection and deployment can be tailored as visual experiments to debug and extend more complex computational models of information systems and processes. These systems and processes include those of natural systems such as arise in systems biology (e.g., modelling multiple levels of protein structure), but also in \"unnatural\" systems such as in the identification of hubs and authorities in artificial systems like the World Wide Web (WWW). The immediate consequence of our premise suggests that the design of direct manipulation tools should proceed with the semantics of the modelled systems in mind, so that each users' manipulations provide a new perspective on the concept of \"data mining\" of large data sets. This will allow users to not just expose implicit relationships, but to incrementally combine explanatory and exploratory investigation by direct manipulation, to adjust and improve the computational knowledge models that emerge from the underlying data.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123742143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The concepts of virtues and vices have a long history. This paper discusses their medieval metaphorical and allegorical representations as examples of knowledge visualizations, and compares them against the criteria put forward for the use of contemporary knowledge visualizations. It is found that these medieval visualizations exhibit all the essential traits expected of knowledge visualizations, making them not only exemplars of a field, but also documentary evidence of early explorations (research) into visually representing and communicating complex knowledge.
{"title":"Virtues and Vices: Examples of Medieval Knowledge Visualization","authors":"F. Marchese","doi":"10.1109/IV.2013.46","DOIUrl":"https://doi.org/10.1109/IV.2013.46","url":null,"abstract":"The concepts of virtues and vices have a long history. This paper discusses their medieval metaphorical and allegorical representations as examples of knowledge visualizations, and compares them against the criteria put forward for the use of contemporary knowledge visualizations. It is found that these medieval visualizations exhibit all the essential traits expected of knowledge visualizations, making them not only exemplars of a field, but also documentary evidence of early explorations (research) into visually representing and communicating complex knowledge.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124441013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The fact is that in many Visual Analysis tasks are often used various mapping methods and techniques, inherited from the pre-computer era. Even for Data Exploration, despite of advanced interactive features of modern hardware and software. These ways of graphical representation with a static design are often rigidly adhered to a specific data structure. With such advantages of compact illustration for print (where paper space is crucial), the statically charts are principally at disadvantage in compositional flexibility. Unlike a paper version, array of interactive capabilities plays an important role in chart implementation for screen displaying. The paper reviews an original approach to categorical data visualization, which takes into account features of the visual perception of form and color, as well as distribution and focusing characteristics of the visual attention, along with advantages of using the interactive computer graphics capabilities.
{"title":"Checkered Tree: Interactive Toolset for Flexible Data Exploration","authors":"V. Guchev","doi":"10.1109/IV.2013.99","DOIUrl":"https://doi.org/10.1109/IV.2013.99","url":null,"abstract":"The fact is that in many Visual Analysis tasks are often used various mapping methods and techniques, inherited from the pre-computer era. Even for Data Exploration, despite of advanced interactive features of modern hardware and software. These ways of graphical representation with a static design are often rigidly adhered to a specific data structure. With such advantages of compact illustration for print (where paper space is crucial), the statically charts are principally at disadvantage in compositional flexibility. Unlike a paper version, array of interactive capabilities plays an important role in chart implementation for screen displaying. The paper reviews an original approach to categorical data visualization, which takes into account features of the visual perception of form and color, as well as distribution and focusing characteristics of the visual attention, along with advantages of using the interactive computer graphics capabilities.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132774422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thanks to the recent evolution of movie- and sensor-based human tracking technologies, we can obtain and accumulate a set of walking paths ("trajectories" in this paper) of people over a long period in various places. Such people flow datasets are useful for many fields, including analyses of customer behavior, effectiveness of advertisements, and operational efficiency. This paper presents a linked visualization system to assist in the discovery of new knowledge by analyzing the accumulated people flow datasets, and a case study using this system. In this study we suppose the people flow datasets consist of a set of trajectories and temporal flow quantity. The system consists of two visualization components: classified trajectory visualization, and temporal flow quantity visualization. The former component classifies trajectories into several patterns applying the spectral clustering algorithm, and visualizes the patterns by colors on a physical space. The latter component displays temporal flow quantity of the above patterns applying a piled polygonal chart. This paper introduces a case study applying a movie-based human tracking dataset to the presented system.
{"title":"A Linked Visualization of Trajectory and Flow Quantity to Support Analysis of People Flow","authors":"Aya Fukute, T. Itoh, M. Onishi","doi":"10.1109/IV.2013.76","DOIUrl":"https://doi.org/10.1109/IV.2013.76","url":null,"abstract":"Thanks to the recent evolution of movie- and sensor-based human tracking technologies, we can obtain and accumulate a set of walking paths (\"trajectories\" in this paper) of people over a long period in various places. Such people flow datasets are useful for many fields, including analyses of customer behavior, effectiveness of advertisements, and operational efficiency. This paper presents a linked visualization system to assist in the discovery of new knowledge by analyzing the accumulated people flow datasets, and a case study using this system. In this study we suppose the people flow datasets consist of a set of trajectories and temporal flow quantity. The system consists of two visualization components: classified trajectory visualization, and temporal flow quantity visualization. The former component classifies trajectories into several patterns applying the spectral clustering algorithm, and visualizes the patterns by colors on a physical space. The latter component displays temporal flow quantity of the above patterns applying a piled polygonal chart. This paper introduces a case study applying a movie-based human tracking dataset to the presented system.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133399134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We deal in this paper with the problem of creating an interactive and visual map for a large collection of Open datasets. We first describe how to define a representation space for such data, using text mining techniques to create features. Then, with a similarity measure between Open datasets, we use the k-nearest neighbors method for building a proximity graph between datasets. We use a force-directed layout method to visualize the graph (Tulip Software). We present the results with a collection of 293,000 datasets from the French Open data web site, in which the display of the graph is limited to 151,000 datasets. We study the discovered clusters and we show how they can be used to browse this large collection.
{"title":"Visual and Interactive Exploration of a Large Collection of Open Datasets","authors":"Tianyang Liu, D. Ahmed, F. Bouali, G. Venturini","doi":"10.1109/IV.2013.100","DOIUrl":"https://doi.org/10.1109/IV.2013.100","url":null,"abstract":"We deal in this paper with the problem of creating an interactive and visual map for a large collection of Open datasets. We first describe how to define a representation space for such data, using text mining techniques to create features. Then, with a similarity measure between Open datasets, we use the k-nearest neighbors method for building a proximity graph between datasets. We use a force-directed layout method to visualize the graph (Tulip Software). We present the results with a collection of 293,000 datasets from the French Open data web site, in which the display of the graph is limited to 151,000 datasets. We study the discovered clusters and we show how they can be used to browse this large collection.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"99 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133455242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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