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csrankings.js
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csrankings.js
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/*
CSRankings.ts
@author Emery Berger <[email protected]> http://www.emeryberger.com
*/
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
/// <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" />
;
;
;
;
;
;
;
;
;
;
;
class CSRankings {
constructor() {
this.note = {};
this.authorFile = "./csrankings.csv";
this.authorinfoFile = "./generated-author-info.csv";
this.countryinfoFile = "./country-info.csv";
// private readonly aliasFile = "./dblp-aliases.csv";
this.turingFile = "./turing.csv";
this.turingImage = "./png/acm-turing-award.png";
this.acmfellowFile = "./acm-fellows.csv";
this.acmfellowImage = "./png/acm.png";
this.homepageImage = "./png/house-logo.png";
this.allowRankingChange = false; /* Can we change the kind of rankings being used? */
this.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: "nips", title: "ML" },
{ area: "nlp", title: "NLP" },
{ area: "acl", title: "NLP" },
{ area: "emnlp", title: "NLP" },
{ area: "naacl", title: "NLP" },
{ area: "ir", 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" },
{ area: "pods", title: "DB" },
{ 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" },
{ area: "usenixatc", title: "OS" },
{ area: "eurosys", title: "OS" },
{ area: "pldi", title: "PL" },
{ area: "popl", title: "PL" },
{ area: "icfp", title: "PL" },
{ area: "oopsla", title: "PL" },
{ area: "plan", title: "PL" },
{ area: "soft", title: "SE" },
{ area: "fse", title: "SE" },
{ area: "icse", title: "SE" },
{ area: "ase", title: "SE" },
{ area: "issta", title: "SE" },
{ 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: "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 : "cse", title : "CSEd" }
];
this.aiAreas = ["ai", "vision", "mlmining", "nlp", "ir"];
this.systemsAreas = ["arch", "comm", "sec", "mod", "da", "bed", "hpc", "mobile", "metrics", "ops", "plan", "soft"];
this.theoryAreas = ["act", "crypt", "log"];
this.interdisciplinaryAreas = ["bio", "graph", "ecom", "chi", "robotics", "visualization"];
this.areaNames = [];
this.fields = [];
this.aiFields = [];
this.systemsFields = [];
this.theoryFields = [];
this.otherFields = [];
/* Map area to its name (from areaNames). */
this.areaDict = {};
/* Map area to its position in the list. */
this.areaPosition = {};
/* Map subareas to their areas. */
this.subareas = {};
/* Map names to Google Scholar IDs. */
this.scholarInfo = {};
/* Map aliases to canonical author name. */
this.aliases = {};
/* Map Turing award winners to year */
this.turing = {};
/* Map ACM Fellow award winners to year */
this.acmfellow = {};
/* Map institution to (non-US) region. */
this.countryInfo = {};
/* Map institution to (non-US) abbreviation. */
this.countryAbbrv = {};
/* Map name to home page. */
this.homepages = {};
/* Set to true for "dense rankings" vs. "competition rankings". */
this.useDenseRankings = false;
/* The data which will hold the parsed CSV of author info. */
this.authors = [];
/* The DBLP-transformed strings per author. */
this.dblpAuthors = {};
/* Map authors to the areas they have published in (for pie chart display). */
this.authorAreas = {};
/* Computed stats (univagg). */
this.stats = {};
this.areaDeptAdjustedCount = {}; /* area+dept */
this.areaStringMap = {}; // name -> areaString (memoized)
this.usePieChart = false;
/* Colors. */
this.RightTriangle = "►"; // right-facing triangle symbol (collapsed view)
this.DownTriangle = "▼"; // downward-facing triangle symbol (expanded view)
this.BarChartIcon = "<img class='closed_chart_icon chart_icon' alt='closed chart' src='png/barchart.png'>"; // bar chart image
this.OpenBarChartIcon = "<img class='open_chart_icon chart_icon' alt='opened chart' src='png/barchart-open.png'>"; // opened bar chart image
this.PieChartIcon = "<img class='closed_chart_icon chart_icon' alt='closed chart' src='png/piechart.png'>";
this.OpenPieChartIcon = "<img class='open_chart_icon chart_icon' alt='opened chart' src='png/piechart-open.png'>";
this.ChartIcon = this.BarChartIcon;
this.OpenChartIcon = this.OpenBarChartIcon;
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 (let item of subareaList) {
for (let 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);
(() => __awaiter(this, void 0, void 0, function* () {
yield this.loadTuring(this.turing);
yield this.loadACMFellow(this.acmfellow);
this.displayProgress(2);
yield this.loadAuthorInfo();
this.displayProgress(3);
yield this.loadAuthors();
this.setAllOn();
this.navigoRouter.on({
'/index': this.navigation,
'/fromyear/:fromyear/toyear/:toyear/index': this.navigation
}).resolve();
this.displayProgress(4);
this.countAuthorAreas();
yield this.loadCountryInfo(this.countryInfo, this.countryAbbrv);
this.addListeners();
CSRankings.geoCheck();
this.rank();
}))();
}
// We have scrolled: increase the number we rank.
static updateMinimum(obj) {
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.
static getInstance() {
return CSRankings.theInstance;
}
// Promises polyfill.
static promise(cont) {
if (typeof Promise !== "undefined") {
var resolved = Promise.resolve();
resolved.then(cont);
}
else {
setTimeout(cont, 0);
}
}
translateNameToDBLP(name) {
// 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). */
makePrologue() {
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;
}
static sum(n) {
let s = 0.0;
for (let i = 0; i < n.length; i++) {
s += n[i];
}
return s;
}
static average(n) {
return CSRankings.sum(n) / n.length;
}
static stddev(n) {
const avg = CSRankings.average(n);
const squareDiffs = n.map(function (value) {
let diff = value - avg;
return (diff * diff);
});
const sigma = Math.sqrt(CSRankings.sum(squareDiffs) / (n.length - 1));
return sigma;
}
areaString(name) {
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 = {};
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;
// }
let 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 = [];
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 = [];
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/ */
compareNames(a, b) {
//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) */
makeChart(name, isPieChart) {
let data = [];
let datadict = {};
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;
// }
let value = this.authorAreas[uname][key];
// 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;
}
}
*/
// Round it to the nearest 0.1.
value = Math.round(value * 10) / 10;
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 });
}
displayProgress(step) {
const msgs = ["Initializing.",
"Loading author information.",
"Loading publication data.",
"Computing ranking."];
let s = "";
let count = 1;
msgs.map((elem) => {
if (count == step) {
s += "<strong>" + elem + "</strong>";
}
else {
s += "<font color='gray'>" + elem + "</font>";
}
s += "<br />";
count += 1;
});
document.querySelector("#progress").innerHTML = s;
}
loadTuring(turing) {
return __awaiter(this, void 0, void 0, function* () {
const data = yield new Promise((resolve) => {
Papa.parse(this.turingFile, {
header: true,
download: true,
complete: (results) => {
resolve(results.data);
}
});
});
const d = data;
for (const turingPair of d) {
turing[turingPair.name] = turingPair.year;
}
});
}
loadACMFellow(acmfellow) {
return __awaiter(this, void 0, void 0, function* () {
const data = yield new Promise((resolve) => {
Papa.parse(this.acmfellowFile, {
header: true,
download: true,
complete: (results) => {
resolve(results.data);
}
});
});
const d = data;
for (const acmfellowPair of d) {
acmfellow[acmfellowPair.name] = acmfellowPair.year;
}
});
}
loadCountryInfo(countryInfo, countryAbbrv) {
return __awaiter(this, void 0, void 0, function* () {
const data = yield new Promise((resolve) => {
Papa.parse(this.countryinfoFile, {
header: true,
download: true,
complete: (results) => {
resolve(results.data);
}
});
});
const ci = data;
for (const info of ci) {
countryInfo[info.institution] = info.region;
countryAbbrv[info.institution] = info.countryabbrv;
}
});
}
loadAuthorInfo() {
return __awaiter(this, void 0, void 0, function* () {
const data = yield new Promise((resolve) => {
Papa.parse(this.authorFile, {
download: true,
header: true,
complete: (results) => {
resolve(results.data);
}
});
});
const ai = data;
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'];
}
}
});
}
loadAuthors() {
return __awaiter(this, void 0, void 0, function* () {
const data = yield new Promise((resolve) => {
Papa.parse(this.authorinfoFile, {
download: true,
header: true,
complete: (results) => {
resolve(results.data);
}
});
});
this.authors = data;
});
}
inRegion(dept, regions) {
switch (regions) {
case "us":
if (dept in this.countryInfo) {
return false;
}
break;
case "at":
case "au":
case "br":
case "ca":
case "ch":
case "cn":
case "de":
case "dk":
case "es":
case "fr":
case "gr":
case "hk":
case "il":
case "in":
case "it":
case "jp":
case "kr":
case "nl":
case "nz":
case "tr":
case "uk":
if (this.countryAbbrv[dept] != regions) {
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") {
return false;
}
break;
case "southamerica":
if (!(dept in this.countryInfo)) { // USA
return false;
}
if (this.countryInfo[dept] != "southamerica") {
return false;
}
break;
case "asia":
if (!(dept in this.countryInfo)) { // USA
return false;
}
if (this.countryInfo[dept] != "asia") {
return false;
}
break;
case "africa":
if (!(dept in this.countryInfo)) { // USA
return false;
}
if (this.countryInfo[dept] != "africa") {
return false;
}
break;
case "world":
break;
}
return true;
}
activateFields(value, fields) {
for (let i = 0; i < fields.length; i++) {
const item = this.fields[fields[i]];
const str = "input[name=" + item + "]";
$(str).prop('checked', value);
if (item in CSRankings.childMap) {
// It's a parent.
$(str).prop('disabled', false);
// Activate / deactivate all children as appropriate.
CSRankings.childMap[item].forEach((k) => {
const str = 'input[name=' + k + ']';
if (k in CSRankings.nextTier) {
$(str).prop('checked', false);
}
else {
$(str).prop('checked', value);
}
});
}
}
this.rank();
return false;
}
sortIndex(univagg) {
let keys = Object.keys(univagg);
keys.sort((a, b) => {
if (univagg[a] != univagg[b]) {
return univagg[b] - univagg[a];
}
/*
if (univagg[a] > univagg[b]) {
return -1;
}
if (univagg[b] > univagg[a]) {
return 1;
}
*/
if (a < b) {
return -1;
}
if (b < a) {
return 1;
}
return 0;
});
return keys;
}
countAuthorAreas() {
const startyear = parseInt($("#fromyear").find(":selected").text());
const endyear = parseInt($("#toyear").find(":selected").text());
this.authorAreas = {};
for (const r in this.authors) {
const { area } = this.authors[r];
if (area in CSRankings.nextTier) {
continue;
}
const { year } = this.authors[r];
if ((year < startyear) || (year > endyear)) {
continue;
}
const { name, dept, count } = this.authors[r];
/*
DISABLING weight selection so all pie charts look the
same regardless of which areas are currently selected:
if (weights[theArea] === 0) {
continue;
}
*/
const theCount = parseFloat(count);
if (!(name in this.authorAreas)) {
this.authorAreas[name] = {};
for (const area in this.areaDict) {
if (this.areaDict.hasOwnProperty(area)) {
this.authorAreas[name][area] = 0;
}
}
}
if (!(dept in this.authorAreas)) {
this.authorAreas[dept] = {};
for (const area in this.areaDict) {
if (this.areaDict.hasOwnProperty(area)) {
this.authorAreas[dept][area] = 0;
}
}
}
this.authorAreas[name][area] += theCount;
this.authorAreas[dept][area] += theCount;
}
}
/* Build the dictionary of departments (and count) to be ranked. */
buildDepartments(startyear, endyear, weights, regions, deptCounts, deptNames, facultycount, facultyAdjustedCount) {
/* contains an author name if that author has been processed. */
let visited = {};
for (const r in this.authors) {
if (!this.authors.hasOwnProperty(r)) {
continue;
}
const auth = this.authors[r];
const dept = auth.dept;
// if (!(dept in regionMap)) {
if (!this.inRegion(dept, regions)) {
continue;
}
let area = auth.area;
if (weights[area] === 0) {
continue;
}
const year = auth.year;
if ((year < startyear) || (year > endyear)) {
continue;
}
if (typeof dept === 'undefined') {
continue;
}
const name = auth.name;
// If this area is a child area, accumulate totals for parent.
if (area in CSRankings.parentMap) {
area = CSRankings.parentMap[area];
}
const areaDept = area + dept;
if (!(areaDept in this.areaDeptAdjustedCount)) {
this.areaDeptAdjustedCount[areaDept] = 0;
}
const count = parseInt(this.authors[r].count);
const adjustedCount = parseFloat(this.authors[r].adjustedcount);
this.areaDeptAdjustedCount[areaDept] += adjustedCount;
/* Is this the first time we have seen this person? */
if (!(name in visited)) {
visited[name] = true;
facultycount[name] = 0;
facultyAdjustedCount[name] = 0;
if (!(dept in deptCounts)) {
deptCounts[dept] = 0;
deptNames[dept] = [];
}
deptNames[dept].push(name);
deptCounts[dept] += 1;
}
facultycount[name] += count;
facultyAdjustedCount[name] += adjustedCount;
}
}
/* Compute aggregate statistics. */
computeStats(deptNames, numAreas, weights) {
this.stats = {};
for (const dept in deptNames) {
if (!deptNames.hasOwnProperty(dept)) {
continue;
}
this.stats[dept] = 1;
for (const area in CSRankings.topLevelAreas) {
const areaDept = area + dept;
if (!(areaDept in this.areaDeptAdjustedCount)) {
this.areaDeptAdjustedCount[areaDept] = 0;
}
if (weights[area] != 0) {
// Adjusted (smoothed) geometric mean.
this.stats[dept] *= (this.areaDeptAdjustedCount[areaDept] + 1.0);
}
}
// finally compute geometric mean.
this.stats[dept] = Math.pow(this.stats[dept], 1 / numAreas); // - 1.0;
}
}
/* Updates the 'weights' of each area from the checkboxes. */
/* Returns the number of areas selected (checked). */
updateWeights(weights) {
let numAreas = 0;
for (let ind = 0; ind < CSRankings.areas.length; ind++) {
const area = CSRankings.areas[ind];
weights[area] = $('input[name=' + this.fields[ind] + ']').prop('checked') ? 1 : 0;
if (weights[area] === 1) {
if (area in CSRankings.parentMap) {
// Don't count children.
continue;
}
/* One more area checked. */
numAreas++;
}
}
return numAreas;
}
/* Build drop down for faculty names and paper counts. */
buildDropDown(deptNames, facultycount, facultyAdjustedCount) {
let univtext = {};
for (const dept in deptNames) {
if (!deptNames.hasOwnProperty(dept)) {
continue;
}
let p = '<div class="table"><table class="table table-sm table-striped"><thead><th></th><td><small><em>'
+ '<abbr title="Click on an author\'s name to go to their home page.">Faculty</abbr></em></small></td>'
+ '<td align="right"><small><em> <abbr title="Total number of publications (click for DBLP entry).">\# Pubs</abbr>'
+ ' </em></small></td><td align="right"><small><em><abbr title="Count divided by number of co-authors">Adj. \#</abbr></em>'
+ '</small></td></thead><tbody>';
/* Build a dict of just faculty from this department for sorting purposes. */
let fc = {};
for (const name of deptNames[dept]) {
fc[name] = facultycount[name];
}
let keys = Object.keys(fc);
keys.sort((a, b) => {
if (fc[b] === fc[a]) {
return this.compareNames(a, b);
/* let fb = Math.round(10.0 * facultyAdjustedCount[b]) / 10.0;
const fa = Math.round(10.0 * facultyAdjustedCount[a]) / 10.0;