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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
*/
/// <reference path="./typescript/jquery.d.ts" />
/// <reference path="./typescript/papaparse.d.ts" />
/// <reference path="./typescript/d3.d.ts" />
/// <reference path="./typescript/d3pie.d.ts" />
/// <reference path="./typescript/navigo.d.ts" />
;
;
;
;
;
;
;
;
;
;
;
class CSRankings {
constructor() {
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 = "./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", "hpc", "mobile", "metrics", "ops", "plan", "soft", "da", "bed"];
this.theoryAreas = ["act", "crypt", "log"];
this.interdisciplinaryAreas = ["graph", "chi", "robotics", "bio", "visualization", "ecom"];
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 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 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 = {};
/* Map authors and years to the top areas they have published in (for stacked bar chart display). */
this.authorYearsTopAreas = {};
/* Computed stats (univagg). */
this.stats = {};
this.areaDeptAdjustedCount = {}; /* area+dept */
this.areaStringMap = {}; // name -> areaString (memoized)
/* Colors for all areas. */
this.color = ["#f30000", "#0600f3", "#00b109", "#14e4b4", "#0fe7fb", "#67f200", "#ff7e00", "#8fe4fa", "#ff5300", "#640000", "#3854d1", "#d00ed8", "#7890ff", "#01664d", "#04231b", "#e9f117", "#f3228e", "#7ce8ca", "#ff5300", "#ff5300", "#7eff30", "#9a8cf6", "#79aff9", "#bfbfbf", "#56b510", "#00e2f6", "#ff4141", "#61ff41"];
this.RightTriangle = "►"; // right-facing triangle symbol (collapsed view)
this.DownTriangle = "▼"; // downward-facing triangle symbol (expanded view)
this.PieChart = "<img alt='closed piechart' src='png/piechart.png'>"; // pie chart image
this.OpenPieChart = "<img alt='opened piechart' src='png/piechart-open.png'>"; // opened pie chart image
CSRankings.theInstance = this;
this.navigoRouter = new Navigo(null, true);
/* Build the areaDict dictionary: areas -> names used in pie charts
and areaPosition dictionary: areas -> position in area array
*/
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;
}
for (let area of this.aiAreas) {
this.aiFields.push(this.areaPosition[area]);
}
for (let area of this.systemsAreas) {
this.systemsFields.push(this.areaPosition[area]);
}
for (let area of this.theoryAreas) {
this.theoryFields.push(this.areaPosition[area]);
}
for (let area of this.interdisciplinaryAreas) {
this.otherFields.push(this.areaPosition[area]);
}
let parentCounter = 0;
for (let child in CSRankings.parentMap) {
let 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);
this.loadTuring(this.turing, () => {
this.loadACMFellow(this.acmfellow, () => {
this.displayProgress(2);
this.loadAuthorInfo(() => {
this.displayProgress(3);
this.loadAuthors(() => {
this.setAllOn();
this.navigoRouter.on({
'/index': this.navigation,
'/fromyear/:fromyear/toyear/:toyear/index': this.navigation
}).resolve();
this.displayProgress(4);
this.countAuthorAreas();
this.loadCountryInfo(this.countryInfo, () => {
setTimeout(() => {
this.addListeners();
/* CSRankings.geoCheck(); */
CSRankings.getInstance().rank();
}, 0);
});
});
});
});
});
}
// We have scrolled: increase the number we rank.
static updateMinimum(obj) {
if (CSRankings.minToRank <= 500) {
let 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).
// Known issue: does not properly handle suffixes like Jr., III, etc.
name = name.replace(/'|\-|\./g, "=");
name = name.replace(/Á/g, "=Aacute=");
name = name.replace(/á/g, "=aacute=");
name = name.replace(/è/g, "=egrave=");
name = name.replace(/é/g, "=eacute=");
name = name.replace(/í/g, "=iacute=");
name = name.replace(/ï/g, "=iuml=");
name = name.replace(/ó/g, "=oacute=");
name = name.replace(/ç/g, "=ccedil=");
name = name.replace(/ä/g, "=auml=");
name = name.replace(/ö/g, "=ouml=");
name = name.replace(/ø/g, "=oslash=");
name = name.replace(/Ö/g, "=Ouml=");
name = name.replace(/ü/g, "=uuml=");
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, "=");
let str = "https://dblp.uni-trier.de/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" style="width: 90%">';
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) {
let avg = CSRankings.average(n);
let squareDiffs = n.map(function (value) {
let diff = value - avg;
return (diff * diff);
});
let 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 (let key in datadict) {
values.push(datadict[key]);
}
let 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 (let 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.
let str = maxes.sort((x, y) => { return datadict[y] - datadict[x]; }).slice(0, topN).join(",");
// Cache the result.
this.areaStringMap[name] = str;
// Return it.
return str;
}
/* 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 pie chart */
makeChart(name) {
let data = [];
let datadict = {};
const keys = CSRankings.topTierAreas;
const uname = unescape(name);
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];
}
if (!(key in datadict)) {
datadict[key] = 0;
}
datadict[key] += value;
}
}
for (let key in datadict) {
let newSlice = {
"label": this.areaDict[key],
"value": Math.round(datadict[key] * 10) / 10,
"color": this.color[CSRankings.parentIndex[key]]
};
data.push(newSlice);
}
new d3pie(name + "-chart", {
"header": {
"title": {
"text": uname,
"fontSize": 24,
"font": "open sans"
},
"subtitle": {
"text": "Publication Profile",
"color": "#999999",
"fontSize": 14,
"font": "open sans"
},
"titleSubtitlePadding": 9
},
"size": {
"canvasHeight": 500,
"canvasWidth": 500,
"pieInnerRadius": "38%",
"pieOuterRadius": "83%"
},
"data": {
"content": data,
"smallSegmentGrouping": {
"enabled": true,
"value": 1
},
},
"labels": {
"outer": {
"pieDistance": 32
},
"inner": {
//"format": "percentage", // "value",
//"hideWhenLessThanPercentage": 0 // 2 // 100 // 2
"format": "value",
"hideWhenLessThanPercentage": 5 // 100 // 2
},
"mainLabel": {
"fontSize": 10.5
},
"percentage": {
"color": "#ffffff",
"decimalPlaces": 0
},
"value": {
"color": "#ffffff",
"fontSize": 10
},
"lines": {
"enabled": true
},
"truncation": {
"enabled": true
}
},
"effects": {
"load": {
"effect": "none"
},
"pullOutSegmentOnClick": {
"effect": "linear",
"speed": 400,
"size": 8
}
},
"misc": {
"gradient": {
"enabled": true,
"percentage": 100
}
}
});
}
displayProgress(step) {
let 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;
});
$("#progress").html(s);
}
/*
private loadAliases(aliases: { [key: string]: string },
cont: () => void): void {
Papa.parse(this.aliasFile, {
header: true,
download: true,
complete: (results) => {
const data: any = results.data;
const d = data as Array<Alias>;
for (let aliasPair of d) {
aliases[aliasPair.alias] = aliasPair.name;
}
CSRankings.promise(cont);
}
});
}
*/
loadTuring(turing, cont) {
Papa.parse(this.turingFile, {
header: true,
download: true,
complete: (results) => {
const data = results.data;
const d = data;
for (let turingPair of d) {
turing[turingPair.name] = turingPair.year;
}
CSRankings.promise(cont);
}
});
}
loadACMFellow(acmfellow, cont) {
Papa.parse(this.acmfellowFile, {
header: true,
download: true,
complete: (results) => {
const data = results.data;
const d = data;
for (let acmfellowPair of d) {
acmfellow[acmfellowPair.name] = acmfellowPair.year;
}
CSRankings.promise(cont);
}
});
}
loadCountryInfo(countryInfo, cont) {
Papa.parse(this.countryinfoFile, {
header: true,
download: true,
complete: (results) => {
const data = results.data;
const ci = data;
for (let info of ci) {
countryInfo[info.institution] = info.region;
}
CSRankings.promise(cont);
}
});
}
loadAuthorInfo(cont) {
Papa.parse(this.authorFile, {
download: true,
header: true,
complete: (results) => {
const data = results.data;
const ai = data;
for (let counter = 0; counter < ai.length; counter++) {
const record = ai[counter];
let name = record['name'].trim();
if (name !== "") {
this.dblpAuthors[name] = this.translateNameToDBLP(name);
this.homepages[name] = record['homepage'];
this.scholarInfo[name] = record['scholarid'];
}
}
CSRankings.promise(cont);
}
});
}
loadAuthors(cont) {
Papa.parse(this.authorinfoFile, {
download: true,
header: true,
complete: (results) => {
const data = results.data;
this.authors = data.filter((author) => (Boolean(author) && Boolean(author.name)));
for (let r in this.authors) {
let name = this.authors[r].name;
}
CSRankings.promise(cont);
}
});
}
inRegion(dept, regions) {
switch (regions) {
case "USA":
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 "canada":
if (!(dept in this.countryInfo)) { // USA
return false;
}
if (this.countryInfo[dept] != "canada") {
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 = {};
this.authorYearsTopAreas = {};
for (let r in this.authors) {
let { area } = this.authors[r];
if (area in CSRankings.nextTier) {
continue;
}
let { year } = this.authors[r];
if ((year < startyear) || (year > endyear)) {
continue;
}
let { 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 (let area in this.areaDict) {
if (this.areaDict.hasOwnProperty(area)) {
this.authorAreas[name][area] = 0;
}
}
}
if (!(dept in this.authorAreas)) {
this.authorAreas[dept] = {};
for (let area in this.areaDict) {
if (this.areaDict.hasOwnProperty(area)) {
this.authorAreas[dept][area] = 0;
}
}
}
if (!(name in this.authorYearsTopAreas)) {
this.authorYearsTopAreas[name] = {};
for (let i = startyear; i <= endyear; i++) {
this.authorYearsTopAreas[name][i] = {};
for (let area in CSRankings.topLevelAreas) {
if (CSRankings.topLevelAreas.hasOwnProperty(area)) {
this.authorYearsTopAreas[name][i][area] = 0;
}
}
}
}
this.authorAreas[name][area] += theCount;
this.authorAreas[dept][area] += theCount;
this.authorYearsTopAreas[name][year][(area in CSRankings.parentMap) ? CSRankings.parentMap[area] : 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 (let r in this.authors) {
if (!this.authors.hasOwnProperty(r)) {
continue;
}
let auth = this.authors[r];
let dept = auth.dept;
// if (!(dept in regionMap)) {
if (!this.inRegion(dept, regions)) {
continue;
}
let area = auth.area;
if (weights[area] === 0) {
continue;
}
let year = auth.year;
if ((year < startyear) || (year > endyear)) {
continue;
}
if (typeof dept === 'undefined') {
continue;
}
let 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 (let dept in deptNames) {
if (!deptNames.hasOwnProperty(dept)) {
continue;
}
this.stats[dept] = 1;
for (let area in CSRankings.topLevelAreas) {
let 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++) {
let 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;
}
/* Updates the 'weights' of AI areas. */
/* Returns the number of AI areas. */
getAIWeights(weights) {
let numAreas = 0;
for (let ind = 0; ind < CSRankings.areas.length; ind++) {
let area = CSRankings.areas[ind];
weights[area] = (this.aiFields.indexOf(ind) > -1 || ((area in CSRankings.parentMap) && this.aiAreas.indexOf(CSRankings.parentMap[area]) > -1)) ? 1 : 0;
if (weights[area] === 1) {
if (area in CSRankings.parentMap) {
// Don't count children.
continue;
}
/* One more area checked. */
numAreas++;
}
}
return numAreas;
}
/* Updates the 'weights' of CV areas. */
/* Returns the number of CV areas. */
getCVWeights(weights) {
let numAreas = 0;
for (let ind = 0; ind < CSRankings.areas.length; ind++) {
let area = CSRankings.areas[ind];
weights[area] = (area == 'vision' || ((area in CSRankings.parentMap) && CSRankings.parentMap[area] == 'vision')) ? 1 : 0;
if (weights[area] === 1) {
if (area in CSRankings.parentMap) {
// Don't count children.
continue;
}
/* One more area checked. */
numAreas++;
}
}
return numAreas;
}
/* Updates the 'weights' of All areas. */
/* Returns the number of All areas. */
getAllWeights(weights) {
let numAreas = 0;
for (let ind = 0; ind < CSRankings.areas.length; ind++) {
let area = CSRankings.areas[ind];
weights[area] = 1;
if (area in CSRankings.parentMap) {
// Don't count children.
continue;
}
/* One more area checked. */
numAreas++;
}
return numAreas;
}
buildAdditionalFacultyData(startyear, endyear, whichRegions, cv, ai, all) {
var weights;
var facultycount; /* name -> raw count of pubs per name / department */
let result = {};
if (cv) {
weights = {};
facultycount = {};
this.getCVWeights(weights);
this.buildDepartments(startyear, endyear, weights, whichRegions, {}, {}, facultycount, {});
result["#CVPubs"] = facultycount;
}
if (ai) {
weights = {};
facultycount = {};
this.getAIWeights(weights);
this.buildDepartments(startyear, endyear, weights, whichRegions, {}, {}, facultycount, {});
result["#AIPubs"] = facultycount;
}
if (all) {
weights = {};
facultycount = {};
this.getAllWeights(weights);
this.buildDepartments(startyear, endyear, weights, whichRegions, {}, {}, facultycount, {});
result["#CSPubs"] = facultycount;
}