Add CGA authors, fix shortpapers bug

ieee-vgtc · Aug 8, 2024 · b3716c5 · b3716c5
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-<!DOCTYPE html><html lang="en"> <head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link rel="shortcut icon" href="/static/2024/images/favicon.png" type="image/x-icon"><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><script src="https://cdn.auth0.com/js/auth0-spa-js/1.12/auth0-spa-js.production.js"></script><script src="https://cdn.jsdelivr.net/npm/d3@6/dist/d3.min.js"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/handlebars.min.js" integrity="sha256-/PJBs6QWvXijOFIX04kZpLb6ZtSQckdOIavLWKKOgXU=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/umd/popper.min.js" integrity="sha384-Q6E9RHvbIyZFJoft+2mJbHaEWldlvI9IOYy5n3zV9zzTtmI3UksdQRVvoxMfooAo" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.min.js" integrity="sha256-WqU1JavFxSAMcLP2WIOI+GB2zWmShMI82mTpLDcqFUg=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/min/moment.min.js" integrity="sha256-4iQZ6BVL4qNKlQ27TExEhBN1HFPvAvAMbFavKKosSWQ=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/builds/moment-timezone-with-data.min.js" integrity="sha256-IWYg4uIC8/erItNXYvLtyYHioRi2zT1TFva8qaAU/ww=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/@popperjs/[email protected]/dist/umd/popper.min.js"></script><script src="https://cdn.jsdelivr.net/npm/tippy.js@6/dist/tippy-bundle.umd.min.js"></script><script src="https://cdn.jsdelivr.net/npm/js-cookie@2/src/js.cookie.min.js"></script><script src="/static/2024/js/libs_ext/typeahead.bundle.js"></script><script src="/static/2024/js/data/persistor.js"></script><script src="/static/2024/js/data/api.js"></script><link rel="shortcut icon" href="/static/2024/images/favicon.png" type="image/x-icon"><link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha256-YLGeXaapI0/5IgZopewRJcFXomhRMlYYjugPLSyNjTY=" crossorigin="anonymous"><link href="/static/2024/css/Zilla.css" rel="stylesheet"><link href="/static/2024/css/Fira.css" rel="stylesheet"><link rel="stylesheet" href="/static/2024/css/main.css"><link rel="stylesheet" href="/static/2024/css/fa_solid.css"><link rel="stylesheet" href="/static/2024/css/lazy_load.css"><link rel="stylesheet" href="/static/2024/css/typeahead.css"><meta name="twitter:card" content="summary"><meta name="twitter:site" content="@ieeevis"><meta name="twitter:title" content="IEEE VIS 2024 - Paper: DiffSeer: Difference-Based Dynamic Weighted Graph Visualization"><meta name="twitter:description" content="VIS 2024 will be the year’s premier forum for advances in theory, methods, and applications of visualization and visual analytics. The conference will convene an international community of researchers and practitioners from universities, government, and industry to exchange recent findings on the design and use of visualization tools."><meta name="twitter:image" content="https://ieeevis.b-cdn.net/vis_2021/vis_preview.png"><meta name="image" property="og:image" content="https://ieeevis.b-cdn.net/vis_2021/vis_preview.png"><meta name="description" property="og:description" content="VIS 2024 will be the year’s premier forum for advances in theory, methods, and applications of visualization and visual analytics. The conference will convene an international community of researchers and practitioners from universities, government, and industry to exchange recent findings on the design and use of visualization tools."><meta name="title" property="og:title" content="Virtual IEEE VIS 2024 - Paper: DiffSeer: Difference-Based Dynamic Weighted Graph Visualization"><meta property="og:type" content="website"><title>IEEE VIS 2024 Content: DiffSeer: Difference-Based Dynamic Weighted Graph Visualization</title></head> <body data-bs-spy="scroll" data-bs-target="#nav-scrollspy" style> <div class="container mb-5"> <div class="tabs"> </div> <div class="content"> <div class="row mt-3"> <div class="col-md-12"> <nav class="nav-breadcrumb mb-3" aria-label="breadcrumb"> <ol class="breadcrumb"> <li class="breadcrumb-item"><a href="event_v-cga.html">CG&amp;A Invited Partnership Presentations</a> </li> <li class="breadcrumb-item"><a href="session_cga0.html">CG&amp;A</a> </li> <li class="breadcrumb-item active text-truncate" aria-current="page">DiffSeer: Difference-Based Dynamic Weighted Graph Visualization</li> </ol> </nav> <h1 class="paper-title">DiffSeer: Difference-Based Dynamic Weighted Graph Visualization</h1> <div class="checkbox-bookmark fas" style="font-size: 24pt;position: absolute; top:10px; right:20px;" data-tippy-content="(un-)bookmark this paper"> &#xf02e; </div> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Xiaolin Wen - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> <a href="mailto:[email protected]">Yong Wang</a> - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Meixuan Wu - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Fengjie Wang - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Xuanwu Yue - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Qiaomu Shen - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Yuxin Ma - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Min Zhu - </h4> <h3 class="session-room mt-4"> <span class="fas mr-1">&#xf108;</span> Room: To Be Announced </h3> </div> </div> <div class="row my-3"> <div class="col-md-8"> <figure class="figure"> <figcaption class="figure-caption" id="figure-caption"></figcaption> </figure> </div> </div> <div class="row my-3"> <div class="col-md-8"> </div> </div> <div class="row my-3"> <div class="col-md-8"> <h5 class="paper-details-heading">Abstract</h5> <p></p> </div> </div> <script lang="js">
+<!DOCTYPE html><html lang="en"> <head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link rel="shortcut icon" href="/static/2024/images/favicon.png" type="image/x-icon"><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><script src="https://cdn.auth0.com/js/auth0-spa-js/1.12/auth0-spa-js.production.js"></script><script src="https://cdn.jsdelivr.net/npm/d3@6/dist/d3.min.js"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/handlebars.min.js" integrity="sha256-/PJBs6QWvXijOFIX04kZpLb6ZtSQckdOIavLWKKOgXU=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/umd/popper.min.js" integrity="sha384-Q6E9RHvbIyZFJoft+2mJbHaEWldlvI9IOYy5n3zV9zzTtmI3UksdQRVvoxMfooAo" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.min.js" integrity="sha256-WqU1JavFxSAMcLP2WIOI+GB2zWmShMI82mTpLDcqFUg=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/min/moment.min.js" integrity="sha256-4iQZ6BVL4qNKlQ27TExEhBN1HFPvAvAMbFavKKosSWQ=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/builds/moment-timezone-with-data.min.js" integrity="sha256-IWYg4uIC8/erItNXYvLtyYHioRi2zT1TFva8qaAU/ww=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/@popperjs/[email protected]/dist/umd/popper.min.js"></script><script src="https://cdn.jsdelivr.net/npm/tippy.js@6/dist/tippy-bundle.umd.min.js"></script><script src="https://cdn.jsdelivr.net/npm/js-cookie@2/src/js.cookie.min.js"></script><script src="/static/2024/js/libs_ext/typeahead.bundle.js"></script><script src="/static/2024/js/data/persistor.js"></script><script src="/static/2024/js/data/api.js"></script><link rel="shortcut icon" href="/static/2024/images/favicon.png" type="image/x-icon"><link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha256-YLGeXaapI0/5IgZopewRJcFXomhRMlYYjugPLSyNjTY=" crossorigin="anonymous"><link href="/static/2024/css/Zilla.css" rel="stylesheet"><link href="/static/2024/css/Fira.css" rel="stylesheet"><link rel="stylesheet" href="/static/2024/css/main.css"><link rel="stylesheet" href="/static/2024/css/fa_solid.css"><link rel="stylesheet" href="/static/2024/css/lazy_load.css"><link rel="stylesheet" href="/static/2024/css/typeahead.css"><meta name="twitter:card" content="summary"><meta name="twitter:site" content="@ieeevis"><meta name="twitter:title" content="IEEE VIS 2024 - Paper: DiffSeer: Difference-Based Dynamic Weighted Graph Visualization"><meta name="twitter:description" content="Existing dynamic weighted graph visualization approaches rely on users’ mental comparison to perceive temporal evolution of dynamic weighted graphs, hindering users from effectively analyzing changes across multiple timeslices. We propose DiffSeer, a novel approach for dynamic weighted graph visualization by explicitly visualizing the differences of graph structures (e.g., edge weight differences) between adjacent timeslices. Specifically, we present a novel nested matrix design that overviews the graph structure differences over a time period as well as shows graph structure details in the timeslices of user interest. By collectively considering the overall temporal evolution and structure details in each timeslice, an optimization-based node reordering strategy is developed to group nodes with similar evolution patterns and highlight interesting graph structure details in each timeslice. We conducted two case studies on real-world graph datasets and in-depth interviews with 12 target users to evaluate DiffSeer. The results demonstrate its effectiveness in visualizing dynamic weighted graphs."><meta name="twitter:image" content="https://ieeevis.b-cdn.net/vis_2021/vis_preview.png"><meta name="image" property="og:image" content="https://ieeevis.b-cdn.net/vis_2021/vis_preview.png"><meta name="description" property="og:description" content="Existing dynamic weighted graph visualization approaches rely on users’ mental comparison to perceive temporal evolution of dynamic weighted graphs, hindering users from effectively analyzing changes across multiple timeslices. We propose DiffSeer, a novel approach for dynamic weighted graph visualization by explicitly visualizing the differences of graph structures (e.g., edge weight differences) between adjacent timeslices. Specifically, we present a novel nested matrix design that overviews the graph structure differences over a time period as well as shows graph structure details in the timeslices of user interest. By collectively considering the overall temporal evolution and structure details in each timeslice, an optimization-based node reordering strategy is developed to group nodes with similar evolution patterns and highlight interesting graph structure details in each timeslice. We conducted two case studies on real-world graph datasets and in-depth interviews with 12 target users to evaluate DiffSeer. The results demonstrate its effectiveness in visualizing dynamic weighted graphs."><meta name="title" property="og:title" content="Virtual IEEE VIS 2024 - Paper: DiffSeer: Difference-Based Dynamic Weighted Graph Visualization"><meta property="og:type" content="website"><title>IEEE VIS 2024 Content: DiffSeer: Difference-Based Dynamic Weighted Graph Visualization</title></head> <body data-bs-spy="scroll" data-bs-target="#nav-scrollspy" style> <div class="container mb-5"> <div class="tabs"> </div> <div class="content"> <div class="row mt-3"> <div class="col-md-12"> <nav class="nav-breadcrumb mb-3" aria-label="breadcrumb"> <ol class="breadcrumb"> <li class="breadcrumb-item"><a href="event_v-cga.html">CG&amp;A Invited Partnership Presentations</a> </li> <li class="breadcrumb-item"><a href="session_cga0.html">CG&amp;A</a> </li> <li class="breadcrumb-item active text-truncate" aria-current="page">DiffSeer: Difference-Based Dynamic Weighted Graph Visualization</li> </ol> </nav> <h1 class="paper-title">DiffSeer: Difference-Based Dynamic Weighted Graph Visualization</h1> <div class="checkbox-bookmark fas" style="font-size: 24pt;position: absolute; top:10px; right:20px;" data-tippy-content="(un-)bookmark this paper"> &#xf02e; </div> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Xiaolin Wen - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> <a href="mailto:[email protected]">Yong Wang</a> - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Meixuan Wu - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Fengjie Wang - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Xuanwu Yue - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Qiaomu Shen - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Yuxin Ma - </h4> <h4 class="paper-authors pb-2 mt-2"> <span class="fas mr-1">&#xf183;</span> Min Zhu - </h4> <h5 class="paper-link pb-2"> <a href="https://doi.org/10.1109/MCG.2023.3248289"> <span class="fas mr-1">&#xf15c;</span> DOI: 10.1109/MCG.2023.3248289 </a> </h5> <h3 class="session-room mt-4"> <span class="fas mr-1">&#xf108;</span> Room: To Be Announced </h3> </div> </div> <div class="row my-3"> <div class="col-md-8"> <figure class="figure"> <figcaption class="figure-caption" id="figure-caption"></figcaption> </figure> </div> </div> <div class="row my-3"> <div class="col-md-8"> </div> </div> <div class="row my-3"> <div class="col-md-8"> <h5 class="paper-details-heading">Keywords</h5> <p>Visibility Graph, Spatial Patterns, Weight Change, In-depth Interviews, Temporal Changes, Temporal Evolution, Negative Changes, Interesting Patterns, Edge Weights, Real-world Datasets, Graph Structure, Visual Approach, Dynamic Visualization, Dynamic Graph, Financial Networks, Graph Datasets, Similar Evolutionary Patterns, User Interviews, Similar Changes, Chinese New Year, Sector Indices, Original Graph, Red Rectangle, Nodes In Order, Stock Market Crash, Stacked Bar Charts, Different Types Of Matrices, Chinese New, Blue Rectangle</p> <h5 class="paper-details-heading">Abstract</h5> <p>Existing dynamic weighted graph visualization approaches rely on users’ mental comparison to perceive temporal evolution of dynamic weighted graphs, hindering users from effectively analyzing changes across multiple timeslices. We propose DiffSeer, a novel approach for dynamic weighted graph visualization by explicitly visualizing the differences of graph structures (e.g., edge weight differences) between adjacent timeslices. Specifically, we present a novel nested matrix design that overviews the graph structure differences over a time period as well as shows graph structure details in the timeslices of user interest. By collectively considering the overall temporal evolution and structure details in each timeslice, an optimization-based node reordering strategy is developed to group nodes with similar evolution patterns and highlight interesting graph structure details in each timeslice. We conducted two case studies on real-world graph datasets and in-depth interviews with 12 target users to evaluate DiffSeer. The results demonstrate its effectiveness in visualizing dynamic weighted graphs.</p> </div> </div> <script lang="js">
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