Meta tags:
description=A place to discuss mathematics, sociology, and their intersections.;

Headings (most frequently used words):

social, sociology, an, and, on, for, recent, permutations, late, blooming, doing, something, about, publication, bias, why, 75, might, be, overcount, undercount, but, maybe, not, the, relationship, between, cohesion, structural, holes, which, packages, are, good, what, network, analysis, forecasting, poorly, case, single, blind, review, neal, caren, is, github, replication, in, science, statistical, teaching, bleg, how, many, indeed, posts, comments, blogroll, mathematical, website, archives,

Text of the page (most frequently used words):
the (119), and (53), this (40), that (40), for (32), have (23), #network (23), but (23), are (21), with (19), from (17), you (17), here (17), data (16), 2012 (14), which (14), posted (14), not (13), would (13), there (13), one (13), social (12), than (12), 2010 (11), 2011 (11), #sociology (11), networks (11), these (11), those (11), they (11), was (11), more (11), igraph (11), comments (10), about (10), permalink (10), uncategorized (10), statistics (9), http (9), october (8), 2013 (8), science (8), how (8), think (8), them (8), package (8), 2014 (7), review (7), bias (7), what (7), something (7), tagged (7), jimi (7), adams (7), question (7), few (7), used (7), first (7), can (7), all (7), will (7), comment (6), permutations (6), other (6), november (6), recent (6), many (6), github (6), publication (6), just (6), class (6), could (6), right (6), size (6), papers (6), get (5), report (5), posts (5), september (5), december (5), january (5), march (5), may (5), august (5), health (5), single (5), blind (5), packages (5), been (5), some (5), came (5), estimate (5), quite (5), hard (5), article (5), interesting (5), point (5), his (5), particular (5), round (5), two (5), objects (5), also (5), take (5), methodological (5), wordpress (4), com (4), website (4), blog (4), 2009 (4), transparency (4), teaching (4), distributions (4), events (4), asa (4), indeed (4), statistical (4), analysis (4), might (4), leave (4), cross (4), published (4), method (4), potential (4), important (4), because (4), people (4), likely (4), research (4), etc (4), their (4), see (4), start (4), others (4), thought (4), much (4), every (4), among (4), pick (4), sna (4), out (4), contributions (4), both (4), most (4), available (4), statnet (4), www (4), approach (4), estimates (4), story (4), once (4), then (4), personal (4), whites (4), mental (4), kieran (4), trends (4), like (3), email (3), account (3), april (3), june (3), july (3), open (3), methodology (3), mathematical (3), hypothesis (3), add (3), information (3), code (3), neal (3), caren (3), case (3), poorly (3), relationship (3), between (3), cohesion (3), structural (3), holes (3), why (3), maybe (3), has (3), does (3), known (3), over (3), back (3), debate (3), actual (3), seems (3), number (3), questions (3), scale (3), examples (3), visualize (3), things (3), going (3), typical (3), surprising (3), when (3), presented (3), convert (3), michael (3), bishop (3), source (3), give (3), off (3), should (3), series (3), around (3), game (3), final (3), games (3), year (3), aim (3), even (3), main (3), functions (3), itself (3), models (3), were (3), org (3), k_i (3), different (3), proportions (3), isn (3), basically (3), estimated (3), potentially (3), part (3), general (3), primary (3), top (3), started (2), site (2), name (2), log (2), sign (2), subscribed (2), subscribe (2), already (2), now (2), free (2), rss (2), february (2), visualization (2), theory (2), reviews (2), publishing (2), programming (2), policy (2), physics (2), humor (2), meta (2), media (2), hiv (2), facebook (2), current (2), help (2), blogs (2), academia (2), home (2), culture (2), scatterplot (2), orgtheory (2), net (2), bleg (2), replication (2), forecasting (2), good (2), overcount (2), undercount (2), doing (2), late (2), blooming (2), previous (2), study (2), else (2), someone (2), assume (2), better (2), weeks (2), together (2), voter (2), laws (2), couldn (2), way (2), especially (2), enumerate (2), who (2), great (2), such (2), read (2), standard (2), visualizations (2), sharing (2), had (2), big (2), same (2), let (2), merits (2), tell (2), grad (2), academic (2), regular (2), fare (2), folks (2), engage (2), dinner (2), conversations (2), aspects (2), process (2), thoughts (2), really (2), too (2), sure (2), longer (2), expect (2), sweet (2), elite (2), champ (2), ncaa (2), wrong (2), pretty (2), seem (2), instead (2), points (2), correctly (2), your (2), check (2), michal (2), bojanorama (2), provide (2), manipulate (2), each (2), strengths (2), intergraph (2), basic (2), degree (2), contained (2), various (2), build (2), world (2), oriented (2), either (2), within (2), look (2), whether (2), socnet (2), list (2), node (2), effective (2), clustering (2), since (2), s_i (2), c_i (2), simple (2), work (2), nicosia (2), version (2), offer (2), don (2), enough (2), homophily (2), matt (2), suggest (2), substantially (2), shape (2), direct (2), extrapolation (2), bit (2), wonkblog (2), truncated (2), friendship (2), matters (2), collectively (2), common (2), nsum (2), dimensions (2), overly (2), elicited (2), population (2), allow (2), friends (2), issue (2), collection (2), lot (2), non (2), implications (2), decades (2), seen (2), studies (2), results (2), idea (2), post (2), ajs (2), asr (2), theoretical (2), hold (2), prominence (2), addition (2), higher (2), older (2), cited (2), sources (2), place (2), discuss (2), mathematics (2), intersections (2), design, write, loading, collapse, bar, manage, subscriptions, view, reader, content, privacy, join, subscribers, create, archives, video, trials, standards, significant, self, reference, rational_choice, psychology, protests, politics, performativity, peer, pedagogy, ngram, nerd, model, math_soc, modelling, math, links, link, language, interdisciplinary, intellectual, giants, testing, history, guide, gender, evolutionary_psychology, epistemology, education, economics, dna, disagreement, debut, mining, crisis, cries, computer_science, complexity, cognitive_bias, causality, casual_empiricism, books, publications, urban, orgs, understanding, society, thick, sociological, imagination, rense, corten, overcoming, marginal, revolution, lane, kenworthy, family, inequality, crooked, timber, cosmetropolis, cosma, shalizi, contexts, bad, hessian, andrew, gelman, budding, sociologist, blogroll, difficult, relationsh, helpdesk, ipt, successful, life, coac, professor, quality, professo, jeffrey, finley, revision, control, tara, forrest, search, entries, missed, need, hoping, solved, its, months, ago, anywho, puzzling, salient, linked, day, pointing, meaningful, throw, plausible, bounds, impact, furthermore, without, ids, accurately, own, engaged, fraud, news, morning, taught, using, technique, explore, aids, war, casualties, methods, hitting, overview, closing, semester, prefer, include, empirical, talk, fun, outside, wheelhouse, any, favorite, atypical, bizarre, differentially, distributed, univariate, bivariate, associations, stick, memories, visually, plenty, draw, bored, term, yours, fine, numbers, visual, pointers, follow, passionate, ups, learned, latest, offering, essentially, replicates, mark, regnerus, children, whose, parents, sex, relationships, writeup, exercise, takes, won, presume, cover, feel, completely, rocker, rest, entry, school, meetings, regularly, participate, became, circles, prolonged, overhaul, system, recall, having, portions, consecutive, years, students, bunch, grenade, our, pockets, toss, into, fray, ever, took, unwelcome, turn, boring, bring, lots, never, formalized, required, elongated, aspect, raised, yesterday, colleague, asking, answer, wanted, little, fully, discussions, hope, chime, opinions, slightly, formulated, put, test, picks, winners, getting, highest, score, closest, zero, wins, men, basketball, tournament, mean, tough, given, multiple, millions, brackets, submitted, espn, got, inverse, thinking, next, organize, anti, confidence, pool, gaining, predict, consist, losing, possible, easy, incorrectly, four, hunch, struggle, teams, kansas, state, wisconsin, salle, ole, miss, pod, missing, team, making, almost, impossible, none, moderately, tweaked, excerpt, helpful, facilities, store, technically, speaking, provides, specializedclass, storing, plus, additionalfunctions, itsrelative, weaknesses, large, mostbasic, operations, packagesequally, easily, moreover, vice, versa, calculating, centrality, ispossible, types, functionsfor, purposes, classical, routines, community, detection, algorithms, newman, girvan, onlyin, fancier, ergmsetc, jointly, constitute, suite, tnet, moreroutines, mode, borrows, fromboth, course, rsiena, forestimating, actor, dynamics, notrelated, matrix, algebra, obviously, recommendation, easier, far, asmanipulating, visualizing, concerned, thedocumentation, tutorials, homepage, labs, mcfarland, slides, scripts, sunbelt, workshop, matter, asyou, aways, asigraph, asnetwork, advantageof, snar, stanford, edu, rlabs, php, sourceforge, rdocumentation, newbies, concise, description, bojanowski, writes, social_networks, paper, define, measure, simmelian, brokerage, aiming, quantifying, extent, acts, broker, cohesive, groups, otherwise, disconnected, means, similar, exactly, kind, multivariate, regression, tend, collinear, proved, connected, functional, relation, appeared, journal, latora, panzarasa, tale, measures, stat, phys, 151, 745, arxiv, continuing, highlights, vincenzo, summarizing, cool, recently, know, paging, brashears, david, schaefer, salganik, arrived, above, error, particularly, soap, boxed, end, youtube, clip, chris, rock, kicked, certainty, thing, lists, eliciting, partners, severe, problems, estimating, highly, skewed, strategies, developed, practice, use, often, populations, able, handle, nicely, recognize, dispersed, traits, estimation, requires, compare, races, ages, names, allows, elicitations, numerous, corrections, characteristics, rather, arbitrarily, fixed, however, simplistic, shouldn, sorts, did, elicit, respondents, nominated, spilled, actually, dealt, well, problematic, assumption, limitation, based, responses, hand, researchers, appear, done, compute, racial, composition, extrapolate, presumed, least, 100, person, projections, thereof, percentages, strategy, ink, generator, circulating, today, punchline, white, title, comes, average, black, friend, interprets, conclusion, reactions, interpretations, ferguson, want, fact, qualms, small, wouldn, thrust, finding, image, public, religion, institute, 1pam2tr, wapo, 1qi4oxj, wow, dusty, figure, where, make, share, quick, intriguing, deal, before, relatively, evaluated, benefits, incidentally, present, change, therefore, decision, publish, contingent, compared, effect, outcome, assess, evidence, taylor, reading, found, realized, acknowledge, literature, plan, bmj, smoking, cessation, effects, outcomes, nothing, 015, whole, cents, eventually, overtake, haven, settled, yet, probably, worth, noting, necessarily, contradiction, speculation, looking, primarily, catch, wider, reaching, gain, momentum, quicker, ultimately, lower, levels, substantive, sum, perhaps, noted, result, simultaneous, trajectories, notes, citations, received, periods, ones, say, mostly, age, lead, notice, stars, being, generalist, journals, substantively, theoretically, leads, substance, simply, diffuse, slower, plateau, thresholds, doesn, hasn, elsewhere, again, dust, login, alternative, healey, decade, noodle, come, clear, observed, summarizes, increasing, diversity, declining, dominance, conjecture, rise, broad, field, possibility, immediate, reaction,

Text of the page (random words):
published in bmj in one part of the article they acknowledge the potential for publication bias to shape the results in the published literature so they came up with a plan in some studies data on mental health were presented incidentally and the aim was to report on other data in others the aim of the report was to present data on change in mental health therefore the decision to publish might have been contingent on the results we compared effect estimates between studies in which mental health was the primary outcome and those in which it was not to assess if there was evidence of publication bias taylor et al 2014 p 3 this seems a potentially intriguing way to deal with publication bias but it s not one i ve seen before so my question is a relatively simple one is it a common approach and one with many evaluated strengths benefits 3 comments uncategorized permalink posted by jimi adams why 75 might be an overcount and 1 an undercount but maybe not august 25 2014 wow it s dusty around here i couldn t figure out where else to make this point so came back here to share a quick thought image source wonkblog http wapo st 1qi4oxj data source public religion research institute http bit ly 1pam2tr this story s been circulating on social media today the basic punchline is how few non white friends most whites have the title comes from the estimated 75 of whites friendship networks that have no non whites and the estimated 1 average black friend in whites networks it then interprets a lot of the potential implications of this conclusion for recent reactions to interpretations of events in ferguson mo it s not those implications that i want to take issue with here in fact i have few qualms with that part of the story that s in no small part because decades of homophily research wouldn t question the general thrust their finding however the method used here is overly simplistic and shouldn t be used to estimate these sorts of questions basically what they did is take the important matters network name generator and elicit the first 7 people respondents nominated there s been a lot of important methodological ink spilled on that data collection strategy but that s actually not the issue i have here either let s assume they ve dealt with the data collection aspects well which is potentially a problematic assumption itself but i don t think the main limitation of the report on which these estimates are based with those responses in hand what the researchers appear to have done is basically compute the racial composition of those truncated personal networks then extrapolate those proportions up to presumed actual network size or at least 100 person projections thereof i e percentages here s the thing truncated friendship lists like that i e just eliciting the first 7 important matters partners have severe problems in estimating actual proportions of events that have highly skewed distributions this is why a series of strategies collectively known as the network scale up method were developed in practice this isn t the most common use of the nsum which is more often used to estimate the size of hard to enumerate populations but this is something the approach is able to handle quite nicely what the nsum basically does is recognize that various dimensions of overly dispersed traits can be elicited at once the estimation requires that you then compare those that have known distributions in the population e g how many people there are of particular races ages etc in the population not among the elicited names this allows one to scale up from the elicitations on these numerous dimensions to allow one to estimate the size of someone s personal network these corrections could then be used instead of the direct extrapolation of proportions to estimate the number of friends of particular characteristics within particular folks personal networks of estimated rather than arbitrarily fixed size i don t know enough about current homophily statistics paging matt brashears david schaefer or matt salganik to suggest whether this approach would give substantially different point estimates than those arrived at in the report above but i can tell you with certainty that it would give you different error estimates particularly the shape of them than would the direct extrapolation used ok i ve soap boxed enough so i ll end with the youtube clip of the chris rock bit that the wonkblog version of this story kicked off with 4 comments uncategorized permalink posted by jimi adams on the relationship between social cohesion and structural holes october 28 2013 in a continuing series highlights of socnet i offer you vincenzo nicosia s email summarizing his cool recently published work in a recent work appeared in journal of statistical physics v latora v nicosia p panzarasa social cohesion structural holes and a tale of two measures j stat phys 151 3 4 745 2013 arxiv version we have proved that node degree k_i effective size s_i and clustering c_i are indeed connected by the simple functional relation s_i k_i k_i 1 c_i this means that effective size and clustering indeed provide similar information even if not exactly the same kind of information and they should not be used together in multivariate regression models since they tend to be collinear in that paper we also build on this relationship to define a measure of simmelian brokerage aiming at quantifying the extent to which a node acts as a broker among two or more cohesive groups which would otherwise be disconnected leave a comment uncategorized tagged social_networks permalink posted by michael bishop which r packages are good for what social network analysis october 8 2013 newbies to social network analysis in r should check out this great concise description from michal bojanowski on the socnet email list he writes there are two main r packages that provide facilities to store manipulate and visualize network data these are network and igraph technically speaking each package provides a specializedclass of r data objects for storing network data plus additionalfunctions to manipulate and visualize them each package has itsrelative strengths and weaknesses but by and large you can do mostbasic network data operations and visualizations in both packagesequally easily moreover you can convert network data objects from network to igraph or vice versa with functions from the intergraph package calculating basic network statistics degree centrality etc ispossible for both types of objects for igraph objects functionsfor these purposes are contained in igraph itself for network objects most of the classical sna routines are contained in the sna package community detection algorithms e g newman girvan are available onlyin the igraph package fancier things especially statistical models for networks ergmsetc are available in various packages that were build around the network package and jointly constitute the statnet suite http www statnet org there is also tnet package with some moreroutines for among other things two mode networks which borrows fromboth network and igraph world and of course there is rsiena forestimating actor oriented models of network dynamics which is notrelated either network or igraph as for matrix algebra it is obviously available within r itself my recommendation would be to have a look at both igraph and network and pick the one which seems easier to you as far asmanipulating and visualizing networks is concerned have a look at thedocumentation of these packages e g on http www rdocumentation org and at tutorials on e g statnet website http www statnet org igraph homepage http igraph sourceforge net r labs by mcfarland et al http sna stanford edu rlabs php slides and scripts to my sunbelt workshop http www bojanorama pl snar start it does not really matter whether you pick igraph or network asyou can aways convert your network to the other class with asigraph or asnetwork functions from intergraph package and take advantageof the functions available in the other world check out more of michal s helpful contributions at his blog http bc bojanorama pl 8 comments uncategorized tagged r sna social networks permalink posted by michael bishop forecasting poorly march 23 2013 moderately tweaked excerpt from here how hard would it be to get all of the first round games in the ncaa men s basketball tournament wrong i mean that would be pretty tough right given that among the multiple millions of brackets submitted to espn this year none got all the first round games right it would seem hard to do the inverse too right so i m thinking that next year i organize the anti confidence ncaa pool instead of gaining points for every game you correctly predict it ll consist of losing points for every game you get right i e your aim will be to in correctly pick as many games as possible it would seem easy to incorrectly pick the champ final four and even the elite 8 but my hunch is that people would even struggle to get all sweet 16 teams wrong see e g this year s kansas state wisconsin la salle ole miss pod and missing every team making the round of 32 would be almost impossible i think we re going to have to put this to the test something like 1 point for every first round game right 2 for round 2 4 for sweet 16 8 for elite 8 16 for final 4 picks 32 for final 4 winners and 64 for getting the champ right highest score closest to zero wins how poorly do you think you could do 2 comments uncategorized tagged statistics permalink posted by jimi adams a case for single blind review january 23 2013 cross posted from here when i was in grad school at one of the academic meetings i regularly participate in it became regular fare for 2 particular folks in my circles to engage in a prolonged debate about how we should overhaul the academic publishing system this was so regular i recall them having portions of this debate for 3 consecutive years over dinner that the grad students in the bunch thought of this as a grenade in our back pockets we could toss into the fray if ever conversations took an unwelcome turn to the boring i bring this up because there are lots of aspects of this process that i have quite a few thoughts on but have never really formalized them too much more than is required for such elongated dinner conversations and one particular aspect of that was raised on facebook yesterday by a colleague asking about the merits of single blind review i started my answer there but wanted to engage this a little more fully so i m going to start a series of posts not sure how many there will be at this point on the publication review process here that i think could be interesting discussions i hope others will chime in with opinions questions etc these posts will likely be slightly longer than typical fare around here i expect that some of my thoughts on these will be much more formulated than others so let s start with a case for single blind review i think think there are quite a few merits to single blind review for a few other takes see here and here i won t presume to cover them all here but i will get a start feel free to add others or tell me i m completely off my rocker in the comments read the rest of this entry 1 comment uncategorized tagged academia reviews sociology of science permalink posted by jimi adams neal caren is on github replication in social science december 11 2012 i m passionate about open source science so i had to give big ups to neal caren who i just learned is sharing code on github his latest offering essentially replicates the mark regnerus study of children whose parents had same sex relationships the writeup of this exercise is at scatterplot my previous posts on github and sharing code are here and here if you re on github follow me 3 comments uncategorized tagged data github open science programming permalink posted by michael bishop statistical teaching bleg november 20 2012 ok in my research methods class we are hitting an overview of statistics in the closing weeks of the semester as such i would prefer to include some empirical examples to visualize the things we re going to talk about that are fun outside my typical wheelhouse so do you have any favorite read typical atypical surprising bizarre differentially distributed etc examples of univariate distributions and or bivariate associations that may stick in their memories when they see them presented visually i have plenty of standard examples i could draw from but they re likely bored with the one s i think of first by this point in the term so what are yours it s fine if you just have the numbers i can convert them to visualizations but if you have visual pointers all the better cross posted leave a comment uncategorized tagged methodology sociology statistics teaching visualization permalink posted by jimi adams how many indeed october 23 2012 from class to news to research question so this morning in class i taught an article using the network scale up method it s a great technique that s been used to explore a number of interesting questions e g war casualties and hiv aids i came back from that class to this article pointing to a debate on voter id laws and i couldn t help but think that there has to be a meaningful way to throw this method at this question to estimate plausible bounds for the actual potential impact of these laws and furthermore it seems especially important because people without ids are likely quite hard to accurately enumerate on there own as are those who ve engaged in voter fraud so has this study already been published and i just missed it else does someone have the data we d need for that i m hoping it s a solved question as i assume its something it would be better to have known a few months ago than a few weeks from now anywho just puzzling over a salient question that linked together some events from my day cross posted leave a comment uncategorized tagged methodology networks policy statistics permalink posted by jimi adams previous entries search recent posts late blooming sociology doing something about publication bias why 75 might be an overcount and 1 an undercount but maybe not on the relationship between social cohesion and structural holes which r packages are good for what social network analysis forecasting poorly a case for single blind review neal caren is on github replication in social science statistical teaching bleg how many indeed recent comments tara forrest on revision control statistics jeffrey finley on professor quality and professo successful life coac on transparency from the asa and helpdesk ipt pw on transparency from the asa and difficult relationsh on transparency from the asa and blogroll a budding sociologist andrew gelman bad hessian code and culture contexts blogs cosma shalizi cosmetropolis crooked timber family inequality lane kenworthy marginal revolution orgtheory net overcoming bias rense corten scatterplot social science statistics ...