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csrankings.ts
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csrankings.ts
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/*
CSRankings.ts
@author Emery Berger <emery@cs.umass.edu> http://www.emeryberger.com
*/
/// <reference path="./typescript/he/index.d.ts" />
/// <reference path="./typescript/jquery.d.ts" />
/// <reference path="./typescript/vega-embed.d.ts" />
/// <reference path="./typescript/papaparse.d.ts" />
/// <reference path="./typescript/navigo.d.ts" />
/// <reference path="./typescript/continents.d.ts" />
declare function escape(s: string): string;
declare function unescape(s: string): string;
interface AuthorInfo {
readonly name: string;
readonly affiliation: string;
readonly homepage: string;
readonly scholarid: string;
};
interface DBLPName {
readonly name: string;
readonly dblpname: string;
};
interface Author {
name: string;
readonly dept: string;
readonly area: string;
readonly subarea: string;
readonly count: string;
readonly adjustedcount: string;
readonly year: number;
};
interface CountryInfo {
readonly institution: string;
readonly region: "us" | "europe" | "ca" | "northamerica" | "australasia" | "southamerica" | "asia" | "africa" | "world";
readonly countryabbrv: string;
};
interface Alias {
readonly alias: string;
readonly name: string;
};
interface Turing {
readonly name: string;
readonly year: number;
};
interface ACMFellow {
readonly name: string;
readonly year: number;
};
interface HomePage {
readonly name: string;
readonly homepage: string;
};
interface ScholarID {
readonly name: string;
readonly scholarid: string;
};
interface AreaMap {
readonly area: string;
readonly title: string;
};
interface ChartData {
readonly area: string;
readonly value: number;
};
class CSRankings {
private static theInstance: CSRankings; // singleton for this object
private static minToRank = 30; // initial number to rank --> should be enough to enable a scrollbar
public static readonly areas: Array<string> = [];
public static readonly topLevelAreas: { [key: string]: string } = {};
public static readonly topTierAreas: { [key: string]: string } = {};
public static readonly regions: Array<string> = ["europe", "northamerica", "southamerica", "australasia", "asia", "africa", "world", "ae","ar","at","au","bd","be","br","ca","ch","cl","cn","co","cy","cz","de","dk","ee","eg","es","fi","fr","gr","hk","hu","ie","il","in","ir","it","jo","jp","kr","lb","lu","mt","my","nl","no","nz","ph","pk","pl","pt","qa","ro","ru","sa","se","sg","th","tr","tw","uk","za"];
private static readonly nameMatcher = new RegExp('(.*)\\s+\\[(.*)\\]'); // Matches names followed by [X] notes.
private note: { [name: string]: string } = {};
private navigoRouter: Navigo;
// We have scrolled: increase the number we rank.
public static updateMinimum(obj: any): number {
if (CSRankings.minToRank <= 500) {
const t = obj.scrollTop;
CSRankings.minToRank = 5000;
CSRankings.getInstance().rank();
return t;
} else {
return 0;
}
}
// Return the singleton corresponding to this object.
public static getInstance(): CSRankings {
return CSRankings.theInstance;
}
// Promises polyfill.
public static promise(cont: () => void): void {
if (typeof Promise !== "undefined") {
var resolved = Promise.resolve();
resolved.then(cont);
} else {
setTimeout(cont, 0);
}
}
constructor() {
CSRankings.theInstance = this;
this.navigoRouter = new Navigo(null, true);
/* Build dictionaries:
areaDict: areas -> names used in pie charts
areaPosition: areas -> position in area array
subareas: subareas -> areas (e.g., "Vision" -> "ai")
*/
for (let position = 0; position < this.areaMap.length; position++) {
const { area, title } = this.areaMap[position];
CSRankings.areas[position] = area;
if (!(area in CSRankings.parentMap)) {
CSRankings.topLevelAreas[area] = area;
}
if (!(area in CSRankings.nextTier)) {
CSRankings.topTierAreas[area] = area;
}
this.areaNames[position] = title;
this.fields[position] = area;
this.areaDict[area] = title; // this.areaNames[position];
this.areaPosition[area] = position;
}
const subareaList = [
...this.aiAreas.map(key =>
({[this.areaDict[key]] : "ai" })),
...this.systemsAreas.map(key =>
({[this.areaDict[key]] : "systems"})),
...this.theoryAreas.map(key =>
({[this.areaDict[key]] : "theory"})),
...this.interdisciplinaryAreas.map(key =>
({[this.areaDict[key]] : "interdisciplinary"})),
];
for (const item of subareaList) {
for (const key in item) {
this.subareas[key] = item[key];
}
}
for (const area of this.aiAreas) {
this.aiFields.push(this.areaPosition[area]);
}
for (const area of this.systemsAreas) {
this.systemsFields.push(this.areaPosition[area]);
}
for (const area of this.theoryAreas) {
this.theoryFields.push(this.areaPosition[area]);
}
for (const area of this.interdisciplinaryAreas) {
this.otherFields.push(this.areaPosition[area]);
}
let parentCounter = 0;
for (const child in CSRankings.parentMap) {
const parent = CSRankings.parentMap[child];
if (!(parent in CSRankings.childMap)) {
CSRankings.childMap[parent] = [child];
CSRankings.parentIndex[parent] = parentCounter;
parentCounter += 1;
} else {
CSRankings.childMap[parent].push(child);
}
}
this.displayProgress(1);
(async () => {
await this.loadTuring(this.turing);
await this.loadACMFellow(this.acmfellow);
this.displayProgress(2);
await this.loadAuthorInfo();
this.displayProgress(3);
await this.loadAuthors();
this.setAllOn();
this.navigoRouter.on({
'/index': this.navigation,
'/fromyear/:fromyear/toyear/:toyear/index': this.navigation
}).resolve();
this.displayProgress(4);
this.countAuthorAreas();
await this.loadCountryInfo(this.countryInfo, this.countryAbbrv);
this.addListeners();
CSRankings.geoCheck();
this.rank();
// We've finished loading; remove the overlay.
document!.getElementById("overlay-loading")!.style.display = "none";
// Randomly display a survey.
const surveyFrequency = 10; // One out of this many users gets the survey (on average).
// Check to see if survey has already been displayed.
let displaySurvey = false;
// Keep the cookie for backwards compatibility (for now).
let shownAlready = document.cookie.split('; ').find(row => row.startsWith('surveyDisplayed')) ||
localStorage.getItem('surveyDisplayed');
// DISABLE SURVEY (remove the next line to re-enable)
shownAlready = 'disabled';
if (!shownAlready) {
// Not shown yet.
const randomValue = Math.floor(Math.random() * surveyFrequency);
displaySurvey = (randomValue == 0);
if (displaySurvey) {
localStorage.setItem('surveyDisplayed', 'true');
// Now reveal the survey.
document!.getElementById("overlay-survey")!.style.display = "block";
}
}
// Randomly display a sponsorship request.
// In the future, tie to amount of use of the site, a la Wikipedia.
const sponsorshipFrequency = 20; // One out of this many users gets the sponsor page (on average).
// Check to see if the sponsorship page has already been displayed.
if (!localStorage.getItem('sponsorshipDisplayed')) {
// Not shown yet.
const randomValue = Math.floor(Math.random() * sponsorshipFrequency);
const displaySponsor = (randomValue == 0);
if (!displaySurvey && displaySponsor) { // Only show if we have not shown the survey page as well.
localStorage.setItem('sponsorshipDisplayed', 'true');
// Now reveal the sponsorship page.
document!.getElementById("overlay-sponsor")!.style.display = "block";
}
}
})();
}
private readonly authorFile = "./csrankings.csv";
private readonly authorinfoFile = "./generated-author-info.csv";
private readonly countryinfoFile = "./country-info.csv";
// private readonly aliasFile = "./dblp-aliases.csv";
private readonly turingFile = "./turing.csv";
private readonly turingImage = "./png/acm-turing-award.png";
private readonly acmfellowFile = "./acm-fellows.csv";
private readonly acmfellowImage = "./png/acm.png";
private readonly homepageImage = "./png/house-logo.png";
private readonly allowRankingChange = false; /* Can we change the kind of rankings being used? */
public static readonly parentIndex: { [key: string]: number } = {}; // For color lookups
public static readonly parentMap: { [key: string]: string }
= {
'aaai': 'ai',
'ijcai': 'ai',
'cvpr': 'vision',
'eccv': 'vision',
'iccv': 'vision',
'icml': 'mlmining',
'iclr': 'mlmining',
'kdd': 'mlmining',
'nips': 'mlmining',
'acl': 'nlp',
'emnlp': 'nlp',
'naacl': 'nlp',
'sigir': 'inforet',
'www': 'inforet',
'asplos': 'arch',
'isca': 'arch',
'micro': 'arch',
'hpca': 'arch', // next tier
'ccs': 'sec',
'oakland': 'sec',
'usenixsec': 'sec',
'ndss': 'sec', // next tier (for now)
'pets': 'sec', // next tier
'vldb': 'mod',
'sigmod': 'mod',
'icde': 'mod', // next tier
'pods': 'mod',
'dac': 'da',
'iccad': 'da',
'emsoft': 'bed',
'rtas': 'bed',
'rtss': 'bed',
'sc': 'hpc',
'hpdc': 'hpc',
'ics': 'hpc',
'mobicom': 'mobile',
'mobisys': 'mobile',
'sensys': 'mobile',
'imc': 'metrics',
'sigmetrics': 'metrics',
'osdi': 'ops',
'sosp': 'ops',
'eurosys': 'ops', // next tier (see below)
'fast': 'ops', // next tier
'usenixatc': 'ops', // next tier
'popl': 'plan',
'pldi': 'plan',
'oopsla': 'plan', // next tier
'icfp': 'plan', // next tier
'fse': 'soft',
'icse': 'soft',
'ase': 'soft', // next tier
'issta': 'soft', // next tier
'nsdi': 'comm',
'sigcomm': 'comm',
'siggraph': 'graph',
'siggraph-asia': 'graph',
'eurographics': 'graph', // next tier
'focs': 'act',
'soda': 'act',
'stoc': 'act',
'crypto': 'crypt',
'eurocrypt': 'crypt',
'cav': 'log',
'lics': 'log',
'ismb': 'bio',
'recomb': 'bio',
'ec': 'ecom',
'wine': 'ecom',
'chiconf': 'chi',
'ubicomp': 'chi',
'uist': 'chi',
'icra': 'robotics',
'iros': 'robotics',
'rss': 'robotics',
'vis': 'visualization',
'vr': 'visualization',
'sigcse': 'csed'
};
public static readonly nextTier: { [key: string]: boolean } =
{
'ase': true,
'issta': true,
'icde': true,
'pods': true,
'hpca': true,
'ndss': true, // for now
'pets': true,
'eurosys': true,
'eurographics': true,
'fast': true,
'usenixatc': true,
'icfp': true,
'oopsla': true,
'kdd': true,
};
public static readonly childMap: { [key: string]: [string] } = {};
private static readonly noteMap: { [note: string]: string } =
{
'Tech': 'https://tech.cornell.edu/',
'CBG': 'https://www.cis.mpg.de/cbg/',
'INF': 'https://www.cis.mpg.de/mpi-inf/',
'IS': 'https://www.cis.mpg.de/is/',
'MG': 'https://www.cis.mpg.de/molgen/',
'SP': 'https://www.cis.mpg.de/mpi-for-security-and-privacy/',
'SWS': 'https://www.cis.mpg.de/mpi-sws/'
};
private readonly areaMap: Array<AreaMap>
= [{ area: "ai", title: "AI" },
{ area: "aaai", title: "AI" },
{ area: "ijcai", title: "AI" },
{ area: "vision", title: "Vision" },
{ area: "cvpr", title: "Vision" },
{ area: "eccv", title: "Vision" },
{ area: "iccv", title: "Vision" },
{ area: "mlmining", title: "ML" },
{ area: "icml", title: "ML" },
{ area: "kdd", title: "ML" },
{ area: "iclr", title: "ML" },
{ area: "nips", title: "ML" },
{ area: "nlp", title: "NLP" },
{ area: "acl", title: "NLP" },
{ area: "emnlp", title: "NLP" },
{ area: "naacl", title: "NLP" },
{ area: "inforet", title: "Web+IR" },
{ area: "sigir", title: "Web+IR" },
{ area: "www", title: "Web+IR" },
{ area: "arch", title: "Arch" },
{ area: "asplos", title: "Arch" },
{ area: "isca", title: "Arch" },
{ area: "micro", title: "Arch" },
{ area: "hpca", title: "Arch" },
{ area: "comm", title: "Networks" },
{ area: "sigcomm", title: "Networks" },
{ area: "nsdi", title: "Networks" },
{ area: "sec", title: "Security" },
{ area: "ccs", title: "Security" },
{ area: "oakland", title: "Security" },
{ area: "usenixsec", title: "Security" },
{ area: "ndss", title: "Security" },
{ area: "pets", title: "Security" },
{ area: "mod", title: "DB" },
{ area: "sigmod", title: "DB" },
{ area: "vldb", title: "DB" },
{ area: "icde", title: "DB" }, // next tier
{ area: "pods", title: "DB" }, // next tier
{ area: "hpc", title: "HPC" },
{ area: "sc", title: "HPC" },
{ area: "hpdc", title: "HPC" },
{ area: "ics", title: "HPC" },
{ area: "mobile", title: "Mobile" },
{ area: "mobicom", title: "Mobile" },
{ area: "mobisys", title: "Mobile" },
{ area: "sensys", title: "Mobile" },
{ area: "metrics", title: "Metrics" },
{ area: "imc", title: "Metrics" },
{ area: "sigmetrics", title: "Metrics" },
{ area: "ops", title: "OS" },
{ area: "sosp", title: "OS" },
{ area: "osdi", title: "OS" },
{ area: "fast", title: "OS" }, // next tier
{ area: "usenixatc", title: "OS" }, // next tier
{ area: "eurosys", title: "OS" },
{ area: "pldi", title: "PL" },
{ area: "popl", title: "PL" },
{ area: "icfp", title: "PL" }, // next tier
{ area: "oopsla", title: "PL" }, // next tier
{ area: "plan", title: "PL" },
{ area: "soft", title: "SE" },
{ area: "fse", title: "SE" },
{ area: "icse", title: "SE" },
{ area: "ase", title: "SE" }, // next tier
{ area: "issta", title: "SE" }, // next tier
{ area: "act", title: "Theory" },
{ area: "focs", title: "Theory" },
{ area: "soda", title: "Theory" },
{ area: "stoc", title: "Theory" },
{ area: "crypt", title: "Crypto" },
{ area: "crypto", title: "Crypto" },
{ area: "eurocrypt", title: "Crypto" },
{ area: "log", title: "Logic" },
{ area: "cav", title: "Logic" },
{ area: "lics", title: "Logic" },
{ area: "graph", title: "Graphics" },
{ area: "siggraph", title: "Graphics" },
{ area: "siggraph-asia", title: "Graphics" },
{ area: "eurographics", title: "Graphics" },
{ area: "chi", title: "HCI" },
{ area: "chiconf", title: "HCI" },
{ area: "ubicomp", title: "HCI" },
{ area: "uist", title: "HCI" },
{ area: "robotics", title: "Robotics" },
{ area: "icra", title: "Robotics" },
{ area: "iros", title: "Robotics" },
{ area: "rss", title: "Robotics" },
{ area: "bio", title: "Comp. Bio" },
{ area: "ismb", title: "Comp. Bio" },
{ area: "recomb", title: "Comp. Bio" },
{ area: "da", title: "EDA" },
{ area: "dac", title: "EDA" },
{ area: "iccad", title: "EDA" },
{ area: "bed", title: "Embedded" },
{ area: "emsoft", title: "Embedded" },
{ area: "rtas", title: "Embedded" },
{ area: "rtss", title: "Embedded" },
{ area: "visualization", title: "Visualization" },
{ area: "vis", title: "Visualization" },
{ area: "vr", title: "Visualization" },
{ area: "ecom", title: "ECom" },
{ area: "ec", title: "ECom" },
{ area: "wine", title: "ECom" },
{ area : "csed", title : "CSEd" },
{ area : "sigcse", title: "CSEd" }
];
private readonly aiAreas = ["ai", "vision", "mlmining", "nlp", "inforet"];
private readonly systemsAreas = ["arch", "comm", "sec", "mod", "da", "bed", "hpc", "mobile", "metrics", "ops", "plan", "soft"];
private readonly theoryAreas = ["act", "crypt", "log"];
private readonly interdisciplinaryAreas = ["bio", "graph", "csed", "ecom", "chi", "robotics", "visualization"];
private readonly areaNames: Array<string> = [];
private readonly fields: Array<string> = [];
private readonly aiFields: Array<number> = [];
private readonly systemsFields: Array<number> = [];
private readonly theoryFields: Array<number> = [];
private readonly otherFields: Array<number> = [];
/* Map area to its name (from areaNames). */
private readonly areaDict: { [key: string]: string } = {};
/* Map area to its position in the list. */
private readonly areaPosition: { [key: string]: number } = {};
/* Map subareas to their areas. */
private readonly subareas: { [key: string]: string } = {};
/* Map names to Google Scholar IDs. */
private readonly scholarInfo: { [key: string]: string } = {};
/* Map aliases to canonical author name. */
private readonly aliases: { [key: string]: string } = {};
/* Map Turing award winners to year */
private readonly turing: { [key: string]: number } = {};
/* Map ACM Fellow award winners to year */
private readonly acmfellow: { [key: string]: number } = {};
/* Map institution to (non-US) region. */
private readonly countryInfo: { [key: string]: string } = {};
/* Map institution to (non-US) abbreviation. */
private readonly countryAbbrv: { [key: string]: string } = {};
/* Map name to home page. */
private readonly homepages: { [key: string]: string } = {};
/* Set to true for "dense rankings" vs. "competition rankings". */
private readonly useDenseRankings: boolean = false;
/* The data which will hold the parsed CSV of author info. */
private authors: Array<Author> = [];
/* The DBLP-transformed strings per author. */
private dblpAuthors: { [name: string]: string } = {};
/* Map authors to the areas they have published in (for pie chart display). */
private authorAreas: { [name: string]: { [area: string]: number } } = {};
/* Computed stats (univagg). */
private stats: { [key: string]: number } = {};
private areaDeptAdjustedCount: { [key: string]: number } = {}; /* area+dept */
private areaStringMap: { [key: string]: string } = {}; // name -> areaString (memoized)
private usePieChart: boolean = false;
/* Colors. */
private readonly RightTriangle = "►"; // right-facing triangle symbol (collapsed view)
private readonly DownTriangle = "▼"; // downward-facing triangle symbol (expanded view)
private readonly BarChartIcon = "<img class='closed_chart_icon chart_icon' alt='closed chart' src='png/barchart.png'>"; // bar chart image
private readonly OpenBarChartIcon = "<img class='open_chart_icon chart_icon' alt='opened chart' src='png/barchart-open.png'>"; // opened bar chart image
private readonly PieChartIcon = "<img class='closed_chart_icon chart_icon' alt='closed chart' src='png/piechart.png'>";
private readonly OpenPieChartIcon = "<img class='open_chart_icon chart_icon' alt='opened chart' src='png/piechart-open.png'>";
private ChartIcon = this.BarChartIcon;
private OpenChartIcon = this.OpenBarChartIcon;
private translateNameToDBLP(name: string): string {
// Ex: "Emery D. Berger" -> "http://dblp.uni-trier.de/pers/hd/b/Berger:Emery_D="
// First, replace spaces and non-ASCII characters (not complete).
name = name.replace(/ Jr\./g, "_Jr.");
name = name.replace(/ II/g, "_II");
name = name.replace(/ III/g, "_III");
name = name.replace(/'|\-|\./g, "=");
// Now replace diacritics.
name = he.encode(name, { 'useNamedReferences' : true, 'allowUnsafeSymbols' : true });
name = name.replace(/&/g, "=");
name = name.replace(/;/g, "=");
let splitName = name.split(" ");
let lastName = splitName[splitName.length - 1];
let disambiguation = "";
if (parseInt(lastName) > 0) {
// this was a disambiguation entry; go back.
disambiguation = lastName;
splitName.pop();
lastName = splitName[splitName.length - 1] + "_" + disambiguation;
}
splitName.pop();
let newName = splitName.join(" ");
newName = newName.replace(/\s/g, "_");
newName = newName.replace(/\-/g, "=");
newName = encodeURIComponent(newName);
let str = "https://dblp.org/pers/hd";
const lastInitial = lastName[0].toLowerCase();
str += `/${lastInitial}/${lastName}:${newName}`;
return str;
}
/* Create the prologue that we preface each generated HTML page with (the results). */
private makePrologue(): string {
const s = '<div class="table-responsive" style="overflow:auto; height:700px;">'
+ '<table class="table table-fit table-sm table-striped"'
+ 'id="ranking" valign="top">';
return s;
}
private static sum(n: Array<number>): number {
let s = 0.0;
for (let i = 0; i < n.length; i++) {
s += n[i];
}
return s;
}
private static average(n: Array<number>): number {
return CSRankings.sum(n) / n.length;
}
private static stddev(n: Array<number>): number {
const avg = CSRankings.average(n);
const squareDiffs = n.map(function(value) {
const diff = value - avg;
return (diff * diff);
});
const sigma = Math.sqrt(CSRankings.sum(squareDiffs) / (n.length - 1));
return sigma;
}
private areaString(name: string): string {
if (name in this.areaStringMap) {
return this.areaStringMap[name];
}
// Create a summary of areas, separated by commas,
// corresponding to a faculty member's publications. We only
// consider areas within a fixed number of standard deviations
// of the max that also comprise a threshold fraction of pubs
// (and at least crossing a min count threshold).
const pubThreshold = 0.2;
const numStddevs = 1.0;
const topN = 3;
const minPubThreshold = 1;
if (!this.authorAreas[name]) {
return "";
}
// Create an object containing areas and number of publications.
// This is essentially duplicated logic from makeChart and
// should be factored out.
let datadict: { [key: string]: number } = {};
const keys = CSRankings.topTierAreas;
let maxValue = 0;
for (let key in keys) { // i = 0; i < keys.length; i++) {
// let key = keys[i];
// if (key in CSRankings.nextTier) {
// continue;
// }
const value = this.authorAreas[name][key];
if (key in CSRankings.parentMap) {
key = this.areaDict[key];
}
if (value > 0) {
if (!(key in datadict)) {
datadict[key] = 0;
}
datadict[key] += value;
maxValue = (datadict[key] > maxValue) ? datadict[key] : maxValue;
}
}
// Now compute the standard deviation.
let values: Array<number> = [];
for (const key in datadict) {
values.push(datadict[key]);
}
const sum = CSRankings.sum(values);
let stddevs = 0.0;
if (values.length > 1) {
stddevs = Math.ceil(numStddevs * CSRankings.stddev(values));
}
// Strip out everything not within the desired number of
// standard deviations of the max and not crossing the
// publication threshold.
let maxes: Array<string> = [];
for (const key in datadict) {
if ((datadict[key] >= maxValue - stddevs) &&
((1.0 * datadict[key]) / sum >= pubThreshold) &&
(datadict[key] > minPubThreshold)) {
maxes.push(key);
}
}
// Finally, pick at most the top N.
const areaList = maxes.sort((x, y) => { return datadict[y] - datadict[x]; }).slice(0, topN);
// Cache the result.
this.areaStringMap[name] = areaList.map(n => `<span class="${this.subareas[n]}-area">${n}</span>`).join(",");
// Return it.
return this.areaStringMap[name];
}
/* from http://hubrik.com/2015/11/16/sort-by-last-name-with-javascript/ */
private compareNames(a: string, b: string): number {
//split the names as strings into arrays
const aName = a.split(" ");
const bName = b.split(" ");
// get the last names by selecting
// the last element in the name arrays
// using array.length - 1 since full names
// may also have a middle name or initial
const aLastName = aName[aName.length - 1];
const bLastName = bName[bName.length - 1];
// compare the names and return either
// a negative number, positive number
// or zero.
if (aLastName < bLastName) return -1;
if (aLastName > bLastName) return 1;
return 0;
}
/* Create a bar or pie chart using Vega. Modified by Minsuk Kahng (https://minsuk.com) */
private makeChart(name: string, isPieChart: boolean): void {
let data: Array<ChartData> = [];
let datadict: { [key: string]: number } = {};
const keys = CSRankings.topTierAreas;
const uname = unescape(name);
// Areas with their category info for color map (from https://colorbrewer2.org/#type=qualitative&scheme=Set1&n=4).
const areas = [
...this.aiAreas.map(key =>
({key: key, label: this.areaDict[key], color: "#377eb8"})),
...this.systemsAreas.map(key =>
({key: key, label: this.areaDict[key], color: "#ff7f00"})),
...this.theoryAreas.map(key =>
({key: key, label: this.areaDict[key], color: "#4daf4a"})),
...this.interdisciplinaryAreas.map(key =>
({key: key, label: this.areaDict[key], color: "#984ea3"}))
];
areas.forEach(area => datadict[area.key] = 0);
for (let key in keys) { // i = 0; i < keys.length; i++) {
// let key = keys[i];
if (!(uname in this.authorAreas)) {
// Defensive programming.
// This should only happen if we have an error in the aliases file.
return;
}
// if (key in CSRankings.nextTier) {
// continue;
// }
// Round it to the nearest 0.1.
const value = Math.round(this.authorAreas[uname][key] * 10) / 10;
// Use adjusted count if this is for a department.
/*
DISABLED so department charts are invariant.
if (uname in this.stats) {
value = this.areaDeptAdjustedCount[key+uname] + 1;
if (value == 1) {
value = 0;
}
}
*/
if (value > 0) {
if (key in CSRankings.parentMap) {
key = CSRankings.parentMap[key];
}
datadict[key] += value;
}
}
let valueSum = 0;
areas.forEach(area => {
valueSum += datadict[area.key];
});
areas.forEach((area, index) => {
const newSlice = {
index: index,
area: this.areaDict[area.key],
value: Math.round(datadict[area.key] * 10) / 10,
ratio: datadict[area.key] / valueSum
};
data.push(newSlice);
area.label = this.areaDict[area.key];
});
const colors = areas.sort((a, b) =>
a.label > b.label ? 1 : (a.label < b.label ? -1 : 0)
).map(area => area.color);
const vegaLiteBarChartSpec = {
$schema: "https://vega.github.io/schema/vega-lite/v5.json",
data: {
values: data
},
mark: "bar",
encoding: {
x: {
field: "area",
type: "nominal",
sort: null,
axis: {title: null}
},
y: {
field: "value",
type: "quantitative",
axis: {title: null}
},
tooltip: [
{"field": "area", "type": "nominal", "title": "Area"},
{"field": "value", "type": "quantitative", "title": "Count"}
],
color: {
field: "area",
type: "nominal",
scale: {"range": colors},
legend: null
}
},
width: 420,
height: 80,
padding: {left: 25, top: 3}
};
const vegaLitePieChartSpec = {
$schema: "https://vega.github.io/schema/vega-lite/v5.json",
data: {
values: data
},
encoding: {
theta: {
field: "value",
type: "quantitative",
stack: true
},
color: {
field: "area",
type: "nominal",
scale: {"range": colors},
legend: null
},
order: {field: "index"},
tooltip: [
{field: "area", type: "nominal", title: "Area"},
{field: "value", type: "quantitative", title: "Count"},
{field: "ratio", type: "quantitative", title: "Ratio", format: ".1%"}
]
},
layer: [
{
mark: {type: "arc", outerRadius: 90, stroke: "#fdfdfd", strokeWidth: 1}
},
{
mark: {type: "text", radius: 108, dy: -3},
encoding: {
text: {field: "area", type: "nominal"},
color: {
condition: {test: "datum.ratio < 0.03", value: "rgba(255, 255, 255, 0)"},
field: "area",
type: "nominal",
scale: {"range": colors}
}
}
},
{
mark: {type: "text", radius: 108, fontSize: 9, dy: 7},
encoding: {
text: {field: "value", type: "quantitative"},
color: {
condition: {test: "datum.ratio < 0.03", value: "rgba(255, 255, 255, 0)"},
field: "area",
type: "nominal",
scale: {"range": colors}
}
}
}
],
width: 400,
height: 250,
padding: {left: 25, top: 3}
};
vegaEmbed(`div[id="${name}-chart"]`,
isPieChart ? vegaLitePieChartSpec : vegaLiteBarChartSpec,
{actions: false}
);
}
private displayProgress(step: number) {
const msgs = ["Initializing.",
"Loading author information.",
"Loading publication data.",
"Computing ranking."];
const s = `<strong>${msgs[step-1]}</strong><br />`;
const progress = document.querySelector("#progress");
if (progress) {
progress!.innerHTML = s;
}
}
private async loadTuring(turing: { [key: string]: number }): Promise<void> {
const data = await new Promise((resolve) => {
Papa.parse(this.turingFile, {
header: true,
download: true,
complete: (results) => {
resolve(results.data);
}
});
});
const d = data as Array<Turing>;
for (const turingPair of d) {
turing[turingPair.name] = turingPair.year;
}
}
private async loadACMFellow(acmfellow: { [key: string]: number }): Promise<void> {
const data = await new Promise((resolve) => {
Papa.parse(this.acmfellowFile, {
header: true,
download: true,
complete: (results) => {
resolve(results.data);
}
});
});
const d = data as Array<ACMFellow>;
for (const acmfellowPair of d) {
acmfellow[acmfellowPair.name] = acmfellowPair.year;
}
}
private async loadCountryInfo(countryInfo: { [key: string]: string },
countryAbbrv: { [key: string]: string }): Promise<void> {
const data = await new Promise((resolve) => {
Papa.parse(this.countryinfoFile, {
header: true,
download: true,
complete: (results) => {
resolve(results.data);
}
});
});
const ci = data as Array<CountryInfo>;
for (const info of ci) {
countryInfo[info.institution] = info.region;
countryAbbrv[info.institution] = info.countryabbrv;
}
}
private async loadAuthorInfo(): Promise<void> {
const data = await new Promise((resolve) => {
Papa.parse(this.authorFile, {
download: true,
header: true,
complete: (results) => {
resolve(results.data);
}
});
});
const ai = data as Array<AuthorInfo>;
for (let counter = 0; counter < ai.length; counter++) {
const record = ai[counter];
let name = record['name'].trim();
const result = name.match(CSRankings.nameMatcher);
if (result) {
name = result[1].trim();
this.note[name] = result[2];
}
if (name !== "") {
this.dblpAuthors[name] = this.translateNameToDBLP(name);
this.homepages[name] = record['homepage'];
this.scholarInfo[name] = record['scholarid'];
}
}
}
private async loadAuthors(): Promise<void> {
const data = await new Promise((resolve) => {
Papa.parse(this.authorinfoFile, {
download: true,
header: true,
complete: (results) => {
resolve(results.data);
}
});
});
this.authors = data as Array<Author>;
}
private inRegion(dept: string,
regions: string): boolean {
switch (regions) {
case "us":
if (dept in this.countryInfo) {
return false;
}
break;
case "europe":
if (!(dept in this.countryInfo)) { // USA
return false;
}
if (this.countryInfo[dept] != "europe") {
return false;
}
break;
case "northamerica":
if ((dept in this.countryInfo) && (this.countryInfo[dept] != "canada")) {
return false;
}
break;
case "australasia":
if (!(dept in this.countryInfo)) { // USA
return false;
}
if (this.countryInfo[dept] != "australasia") {