#social network analysis

[eannpatterson]

Evolutionary model of knowledge management

Towards the end of last year, I wrote about the challenges in deploying digital technologies in holistic approaches to knowledge management in order to gain organizational value and competitive advantage [see ‘Opportunities lost in knowledge management using digital technology’ on October 25th, 2023].  Almost on the last working day of 2023, we had an article published in PLOS ONE (my first in…

[marnoo]

The Best Alternative Social Networks

[phaya]

Ponencia «DataFake: Early detection system for viralization of disinformation» en VII Jornadas de Comunicación Digital

Ponencia «DataFake: Early detection system for viralization of disinformation» en VII Jornadas de Comunicación Digital

Presentación del Trabajo Fin de Grado realizado por David Marcos Martín en las VII Jornadas de Comunicación Digital sobre DataFake, una herramienta para detección temprana de desinformación.

[putnamspuppeteer]

A map of every single band on the Metal Archives as of March 1st of this year, using the same dataset I used for this site. Each individual dot represents a single band, and each line indicates that two bands have a member in common.

A closeup, showing the lines in a bit more detail.

There are around 177k bands on the Metal Archives, and, of them, about two-thirds can be connected to one another by common members.

[rodrigororschach]

⚒ 3 marketing strategies for business beginners

🖊 We're now exploring underrated techniques that promise to redefine the very essence of your marketing approach:

🖊 Collaboration with micro-influencers. Obviously, in the age of the “digital boom” you need to partner with bloggers, but microbloggers show much better results. They have much fewer subscribers, but a more engaged audience, which proves the result with sincerity and support.

🖊 VR, AR and gamification. The sales of the future will be built on these words: through these tools, brands will be able to attract audiences in a more accessible way. Try creating online quizzes or launching an AR company that reflects the essence of your business.

🖊 Storytelling. Today you can work with many storytelling tools: YouTube, Reels, TikTok. Gather your brand data and numbers to build a relevant social media strategy from it.‌‌

[artylo]

On the YouTube Home Page

Something that’s been rattling in the back of my mind these past couple of months has to do with the algorithmically suggested content on sites like YouTube. Obviously the whole conceit of going on a website like that and just getting a straight up unfiltered feed of the stuff you’ve subscribed to is no longer on the table – I can sort of grow to live with that, even if it is reluctantly. However, there are some implications that come along with total algorithmic suggestion, which I am growing increasingly frustrated with on a pure “I interact with the things on screen” level.

I think the primary benefit of the new style of feed is the mixture of videos from channels you are subscribed to, along with some random stragglers from random people on the website who are posting in the same vague categories that you usually watch. You can get your weekly Tim Cain or 3kliksphilip video on the same page as the VoDs for someone’s livestream from a day ago with a total of 300-ish views. This is all randomly broken apart by a video that is obviously doing numbers into the millions, because the algorithm has generally sensed that this is of wider appeal to most people using the website, or the world as a whole. The contrarian in me obviously feels a little bit too patronised by that assumption and has absolutely no interest in that mass market crap, for better or worse. The former two categories, however, are all well and good, as far as I am concerned.

I mostly notice this stuff, because the very top of the website features a scrolling list of the topics it thinks I enjoy, from which I can select to only see videos suggested within that category exclusively. I essentially use this as a kind of indicator as to what the algorithm is using to generate the suggested feed. In a way, the dynamic has now changed from me simply listing my interests and being served exactly that which I’ve listed out, to me listing out my interests and the algorithm making educated guesses as to what I’d like to see, while I also make educated guesses as to what it was thinking about me and figuring out ways to change my patterns in order to make it actually show me what I want.

Let’s say I’m interested in Monster Hunter as a video game series. I’d generally like to see stuff from any of those tens of titles, because I’ve gone through most of them and have a general idea of what’s what. The unfortunate thing is that one of those games has mass market appeal, while the others remain niche and obviously less spread by the algorithm. What this results in is the algorithm noticing that I am into Monster Hunter as a whole, and then trying to present me with the most popular videos on that topic, which are almost always guaranteed to be those of the rather recent title – Monster Hunter: World. As previously stated, I’m the kind of contrarian hipster type, who doesn’t necessarily think that newest stuff is better for simply being the most recent. As such, I tend to not like that the broader idea of Monster Hunter is reduced to World and its expansion Iceborne. It becomes a self-reaffirming logical fallacy that if I like Monster Hunter, then I surely like World. However, to have it not only suggest World I’d need to not watch any of those videos, otherwise it’d continue to think it was right in its assumption and double down on it. If it sees that I’m not interacting with the “Monster Hunter: World” category, it doesn’t assume to make that statement any vaguer. It just assumes I’m not interested in “Monster Hunter” at all, even if I go to seek out videos of older titles on my own.

Every once in a while, by some miracle, that very specific “Monster Hunter: World” category turns in the much vaguer “Monster Hunter”, and the quality of the selection becomes much more in-tune with what I actually want to see. The problem is that I have no way of clapping my hands together and saying “good job, now keep it that way”. As such, it inevitably notices that I could be watching more numerically successful videos in that category and goes back to being specific and mostly popular stuff.

Then again, it does sometimes see me watch a single video on a topic and then hallucinate that I’d like to see that for the next year straight. I do think there have been strides towards getting less popular content into people’s eyes with some of the recommended videos in the side-bar being rather niche stuff, but those are few and far between. The issue is that watching something is a binary operation, and if that is the only thing you feed into the algorithm, there is no chance for you to adjust your preferences and see what you’d actually like. You have near zero control outside of watching whatever is serves up or simply leaving the website for the day.

[medsocionwheels]

Build and Interpret a Basic Structural Topic Model in R

New R tutorial available! Follow my 10-step process for estimating and interpreting a basic structural topic model without covariates.

Preview the Tutorial With Sound (slides with commentary) @medsocionwheels Structural topic modeling: my 10 step process for estimating and interpreting a basic structural topic model without covariates in R. Full #tutorial available on medsocionwheels.com! #TopicModeling #NLP #StructuralTopicModel #QuantitativeResearch #QualitativeResearch #ResearchMethods #R #LearnR #CodingTikTok #rstats…

[wtftwwfte]

so where the hell is eduardo?

"if Sean Parker represents the Lie... Eduardo is the Truth Mark needs to embrace."

"there will be one specific, objective Good Thing in his life, and he will be willing to sacrifice this good thing to pursue the false promise of the Lie."/ /"i was your only friend. you had one friend."

[nando161mando]

Report: A Spatial Analysis of the Israeli Military’s Conduct in Gaza since October 2023

https://forensic-architecture.org/investigation/a-cartography-of-genocide

[londonboy1633]

[strategichannah]

How to Find Clients Starts by Understanding Who You Serve

Struggling to find the right clients? You’re not alone. If your ideal customers seem just out of reach, it’s time to rethink your strategy. Discover the solution in my latest blog! #MarketingSolutions #BusinessGrowth #freecontent

How to Find ClientsStarts with Understanding Who You Serve Written By: that Hannah Jones Time to Read: 6 minutes Finding clients for your business is a lot like embarking on a journey. You need a map, a destination, and a solid understanding of who you’re inviting along for the ride. It all starts with one crucial question: Who is it that you serve? Who does your product work for? Who gains…

[jcmarchi]

Register Now for SportStream 2024 - Videoguys

New Post has been published on https://thedigitalinsider.com/register-now-for-sportstream-2024-videoguys/

Register Now for SportStream 2024 - Videoguys

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[esonetwork]

Woke Who: How Doctor Who has always been woke!! | Earth Station Who

New Post has been published on http://esonetwork.com/woke-who-how-doctor-who-has-always-been-woke-earth-station-who/

Woke Who: How Doctor Who has always been woke!! | Earth Station Who

In this live episode of the Earth Station Who Podcast, hosts Mike Faber and Mike Gordon welcome guests Mike Falkner, Dave Chapman, and Melanie Dean as they dive into the evolution of Doctor Who. They explore the show’s approach to diversity and representation, discussing the societal impact and the importance of inclusivity. The panel addresses the challenges of change within the fandom, emphasizing the Doctor’s message of acceptance. They reflect on personal experiences with the series, its cultural shifts, and the role of social media in the fandom.

We want to hear from you! Please write to us at feedback@earthstationwho.com. Also, please subscribe and rate the show on iTunes, Amazon, YouTube, or wherever fine podcasts are found. Feedback is always welcome and much appreciated.

Links Listen to older episodes of the Earth Station Who Podcast ESW on iTunes Earth Station Who on Spotify Earth Station Who on Instagram Earth Station Who on YouTube Make-A-Wish Foundation The ESO Network TeePublic Store The ESO Network Patreon The Rat Hole Creative Criticality Legend of the Traveling TARDIS Pieces of Melee

Promotion The Dragon Con Report

If you would like to leave feedback or comment feel free to email us at feedback@earthstationwho.com

[xpbrandai]

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[freytful]

God i was So Deep in watchmen last spring huh. There was Lore in the cover for the soundtrack for the HBO show on vinyl. I considered buying a copy but didn't, so i just zoomed in really far on the pictures in reviews to get the Deep Lore on what (the) Nine Inch Nails is doing in the watchmen universe.

[fatliberation]

they have a point though. you wouldn't need everyone to accommodate you if you just lost weight, but you're too lazy to stick to a healthy diet and exercise. it's that simple. I'd like to see you back up your claims, but you have no proof. you have got to stop lying to yourselves and face the facts

Must I go through this again? Fine. FINE. You guys are working my nerves today. You want to talk about facing the facts? Let's face the fucking facts.

In 2022, the US market cap of the weight loss industry was $75 billion [1, 3]. In 2021, the global market cap of the weight loss industry was estimated at $224.27 billion [2]. 

In 2020, the market shrunk by about 25%, but rebounded and then some since then [1, 3] By 2030, the global weight loss industry is expected to be valued at $405.4 billion [2]. If diets really worked, this industry would fall overnight. 

1. LaRosa, J. March 10, 2022. "U.S. Weight Loss Market Shrinks by 25% in 2020 with Pandemic, but Rebounds in 2021." Market Research Blog. 2. Staff. February 09, 2023. "[Latest] Global Weight Loss and Weight Management Market Size/Share Worth." Facts and Factors Research. 3. LaRosa, J. March 27, 2023. "U.S. Weight Loss Market Partially Recovers from the Pandemic." Market Research Blog.

Over 50 years of research conclusively demonstrates that virtually everyone who intentionally loses weight by manipulating their eating and exercise habits will regain the weight they lost within 3-5 years. And 75% will actually regain more weight than they lost [4].

4. Mann, T., Tomiyama, A.J., Westling, E., Lew, A.M., Samuels, B., Chatman, J. (2007). "Medicare’s Search For Effective Obesity Treatments: Diets Are Not The Answer." The American Psychologist, 62, 220-233. U.S. National Library of Medicine, Apr. 2007.

The annual odds of a fat person attaining a so-called “normal” weight and maintaining that for 5 years is approximately 1 in 1000 [5].

5. Fildes, A., Charlton, J., Rudisill, C., Littlejohns, P., Prevost, A.T., & Gulliford, M.C. (2015). “Probability of an Obese Person Attaining Normal Body Weight: Cohort Study Using Electronic Health Records.” American Journal of Public Health, July 16, 2015: e1–e6.

Doctors became so desperate that they resorted to amputating parts of the digestive tract (bariatric surgery) in the hopes that it might finally result in long-term weight-loss. Except that doesn’t work either. [6] And it turns out it causes death [7],  addiction [8], malnutrition [9], and suicide [7].

6. Magro, Daniéla Oliviera, et al. “Long-Term Weight Regain after Gastric Bypass: A 5-Year Prospective Study - Obesity Surgery.” SpringerLink, 8 Apr. 2008. 7. Omalu, Bennet I, et al. “Death Rates and Causes of Death After Bariatric Surgery for Pennsylvania Residents, 1995 to 2004.” Jama Network, 1 Oct. 2007.  8. King, Wendy C., et al. “Prevalence of Alcohol Use Disorders Before and After Bariatric Surgery.” Jama Network, 20 June 2012.  9. Gletsu-Miller, Nana, and Breanne N. Wright. “Mineral Malnutrition Following Bariatric Surgery.” Advances In Nutrition: An International Review Journal, Sept. 2013.

Evidence suggests that repeatedly losing and gaining weight is linked to cardiovascular disease, stroke, diabetes and altered immune function [10].

10. Tomiyama, A Janet, et al. “Long‐term Effects of Dieting: Is Weight Loss Related to Health?” Social and Personality Psychology Compass, 6 July 2017.

Prescribed weight loss is the leading predictor of eating disorders [11].

11. Patton, GC, et al. “Onset of Adolescent Eating Disorders: Population Based Cohort Study over 3 Years.” BMJ (Clinical Research Ed.), 20 Mar. 1999.

The idea that “obesity” is unhealthy and can cause or exacerbate illnesses is a biased misrepresentation of the scientific literature that is informed more by bigotry than credible science [12]. 

12. Medvedyuk, Stella, et al. “Ideology, Obesity and the Social Determinants of Health: A Critical Analysis of the Obesity and Health Relationship” Taylor & Francis Online, 7 June 2017.

“Obesity” has no proven causative role in the onset of any chronic condition [13, 14] and its appearance may be a protective response to the onset of numerous chronic conditions generated from currently unknown causes [15, 16, 17, 18].

13. Kahn, BB, and JS Flier. “Obesity and Insulin Resistance.” The Journal of Clinical Investigation, Aug. 2000. 14. Cofield, Stacey S, et al. “Use of Causal Language in Observational Studies of Obesity and Nutrition.” Obesity Facts, 3 Dec. 2010.  15. Lavie, Carl J, et al. “Obesity and Cardiovascular Disease: Risk Factor, Paradox, and Impact of Weight Loss.” Journal of the American College of Cardiology, 26 May 2009.  16. Uretsky, Seth, et al. “Obesity Paradox in Patients with Hypertension and Coronary Artery Disease.” The American Journal of Medicine, Oct. 2007.  17. Mullen, John T, et al. “The Obesity Paradox: Body Mass Index and Outcomes in Patients Undergoing Nonbariatric General Surgery.” Annals of Surgery, July 2005. 18. Tseng, Chin-Hsiao. “Obesity Paradox: Differential Effects on Cancer and Noncancer Mortality in Patients with Type 2 Diabetes Mellitus.” Atherosclerosis, Jan. 2013.

Fatness was associated with only 1/3 the associated deaths that previous research estimated and being “overweight” conferred no increased risk at all, and may even be a protective factor against all-causes mortality relative to lower weight categories [19].

19. Flegal, Katherine M. “The Obesity Wars and the Education of a Researcher: A Personal Account.” Progress in Cardiovascular Diseases, 15 June 2021.

Studies have observed that about 30% of so-called “normal weight” people are “unhealthy” whereas about 50% of so-called “overweight” people are “healthy”. Thus, using the BMI as an indicator of health results in the misclassification of some 75 million people in the United States alone [20]. 

20. Rey-López, JP, et al. “The Prevalence of Metabolically Healthy Obesity: A Systematic Review and Critical Evaluation of the Definitions Used.” Obesity Reviews : An Official Journal of the International Association for the Study of Obesity, 15 Oct. 2014.

While epidemiologists use BMI to calculate national obesity rates (nearly 35% for adults and 18% for kids), the distinctions can be arbitrary. In 1998, the National Institutes of Health lowered the overweight threshold from 27.8 to 25—branding roughly 29 million Americans as fat overnight—to match international guidelines. But critics noted that those guidelines were drafted in part by the International Obesity Task Force, whose two principal funders were companies making weight loss drugs [21].

21. Butler, Kiera. “Why BMI Is a Big Fat Scam.” Mother Jones, 25 Aug. 2014. 

Body size is largely determined by genetics [22].

22. Wardle, J. Carnell, C. Haworth, R. Plomin. “Evidence for a strong genetic influence on childhood adiposity despite the force of the obesogenic environment” American Journal of Clinical Nutrition Vol. 87, No. 2, Pages 398-404, February 2008.

Healthy lifestyle habits are associated with a significant decrease in mortality regardless of baseline body mass index [23].  

23. Matheson, Eric M, et al. “Healthy Lifestyle Habits and Mortality in Overweight and Obese Individuals.” Journal of the American Board of Family Medicine : JABFM, U.S. National Library of Medicine, 25 Feb. 2012.

Weight stigma itself is deadly. Research shows that weight-based discrimination increases risk of death by 60% [24].

24. Sutin, Angela R., et al. “Weight Discrimination and Risk of Mortality .” Association for Psychological Science, 25 Sept. 2015.

Fat stigma in the medical establishment [25] and society at large arguably [26] kills more fat people than fat does [27, 28, 29].

25. Puhl, Rebecca, and Kelly D. Bronwell. “Bias, Discrimination, and Obesity.” Obesity Research, 6 Sept. 2012. 26. Engber, Daniel. “Glutton Intolerance: What If a War on Obesity Only Makes the Problem Worse?” Slate, 5 Oct. 2009.  27. Teachman, B. A., Gapinski, K. D., Brownell, K. D., Rawlins, M., & Jeyaram, S. (2003). Demonstrations of implicit anti-fat bias: The impact of providing causal information and evoking empathy. Health Psychology, 22(1), 68–78. 28. Chastain, Ragen. “So My Doctor Tried to Kill Me.” Dances With Fat, 15 Dec. 2009. 29. Sutin, Angelina R, Yannick Stephan, and Antonio Terraciano. “Weight Discrimination and Risk of Mortality.” Psychological Science, 26 Nov. 2015.

There's my "proof." Where is yours?