Sirte Pihlaja veti IoT, Digital Health & Wearables trackia sekä kertoi CXPA Finlandin tulevista tapahtumista CXPA Finlandin ja Mobile Mondayn yhteistapaamisessa Sanomilla 7.5.2015.
Merupakan bentuk presentasi dari proses pengerjaan soal Pre-Test modul 1 praktikum SIstem Operasi jurusan Sistem Informasi semester 3 Universitas Telkom
Sirte Pihlaja veti IoT, Digital Health & Wearables trackia sekä kertoi CXPA Finlandin tulevista tapahtumista CXPA Finlandin ja Mobile Mondayn yhteistapaamisessa Sanomilla 7.5.2015.
Merupakan bentuk presentasi dari proses pengerjaan soal Pre-Test modul 1 praktikum SIstem Operasi jurusan Sistem Informasi semester 3 Universitas Telkom
Персональный семинар С.Переслегина на Котлах-2015.
Идея города. По результатам работы на UrbanFest-2015, Ижевск.
Анонс Котлов-2015: http://sociosoft.ru/news/kotly_2015
Thou Shalt not Share Collections of Tweets: Should we give a TOS?Andrew Long
A conversation about Twitter's recent moves to enforce aspects of its API TOS to prohibit online research services archives for download. This was informed by recent discussion on the AoIR mailing list and my own experiences.
Персональный семинар С.Переслегина на Котлах-2015.
Идея города. По результатам работы на UrbanFest-2015, Ижевск.
Анонс Котлов-2015: http://sociosoft.ru/news/kotly_2015
Thou Shalt not Share Collections of Tweets: Should we give a TOS?Andrew Long
A conversation about Twitter's recent moves to enforce aspects of its API TOS to prohibit online research services archives for download. This was informed by recent discussion on the AoIR mailing list and my own experiences.
Matthew Russell's "Unleashing Twitter Data for Fun and Insight" presentation from Strata 2011. Matthew Russell's "Unleashing Twitter Data for Fun and Insight" presentation from Strata 2011. See http://strataconf.com/strata2011/public/schedule/detail/17714 for an overview of the talk.
Twitter is the world’s most popular microblogging site. Users share real time thoughts in 140 character bites. The service has changed the way people communicate and share on the web. While its been credited with everything from oversharing to coordinating revolutions, the service offers libraries a unique opportunity to connect directly with users. Learn how to find out what people are saying about your library, respond and create a buzz for your library or library special event.
NonProfits can use Twitter to successfully engage donors, create event buzz, recruit volunteers, and gain exposure. Find out how to best use this powerful tool.
Get Twitter Data With The Best Twitter Profile Scraper.pdfAqsaBatool21
The Twitter Leads Extractor is the ultimate tool for efficiently scraping and extracting relevant user information from Twitter profiles.
With its user-friendly interface, advanced filtering options, and real-time data scraping capabilities, this social media scraping tool unlocks a wealth of insights, empowering businesses, marketers, and researchers to make data-driven decisions and stay ahead of the competition.
Social Media for Lifestyle Health: MultimediaYelena Mejova
Computational Social Science Summer School on Methods, special issue on Multimedia. This course describes some latest work on using media found on Twitter, Instagram, and other websites to track obesity, diabetes, and mental health.
Modeling Human Values with Social MediaYelena Mejova
IC2S2 2019 Tutorial by Kyriaki Kalimeri and Yelena Mejova. Overview of theories on values and examples of studies that track values using social media in domains of politics, religion, and nutritional health.
Information Sources and Needs in the Obesity and DiabetesTwitter DiscourseYelena Mejova
In this paper we examine 1.5 million tweets mentioning obesity and diabetes in order to assess (1) the quality of information circulating in this conversation, as well as (2) the behavior and information needs of the users engaged in it. The analysis of top cited domains shows a strong presence of health information sources which are not affiliated with a governmental or academic institution at 41% in obesity and 50% diabetes samples, and that tweets containing these domains are retweeted more than those containing domains of reputable sources. On the user side, we estimate over a quarter of non-informational obesity discourse to contain fat-shaming. We also find a great diversity in questions asked in these datasets, spanning definition of obesity as a disease, social norms, and governmental policies.
Social Media and Tech for Health ResearchYelena Mejova
A part of the Workshop on Social Media for Health Research at ICWSM 2017, here we go over the recent history of health-related social media and other technologies, as well as major conceptualizations of this new ecosystem.
Social Medial for Health Research: InterventionsYelena Mejova
A part of the Workshop on Social Media for Health Research, here we look at some of the latest research on the success of using latest tech for health interventions, including social support, wearables, and gamification.
Also check out slide deck on Social Media Research and Practice in the Health Domain at Weill Cornell Medicine Qatar https://www.slideshare.net/IngmarWeber/social-media-research-and-practice-in-the-health-domain-tutorial-part-ii
Religion on Social Media ICWSM 2015 Workshop IntroductionYelena Mejova
The First Workshop on Religion on Social Media is a one-day ICWSM 2015 workshop. This presentation motivates the workshop and introduces its themes and the guest speakers -- Robin Dunbar, Yasmine Hafiz, and Peter Webster.
Giving is Caring: Understanding Donation Behavior through EmailYelena Mejova
Every day, thousands of people make donations to humanitarian, political, environmental, and other causes, a large amount of which occur on the Internet. In our paper presented at CSCW'14, we describe a comprehensive large-scale data-driven study of donation behavior. We analyze a two-month anonymized email log from several perspectives motivated by past studies on charitable giving: demographics, user interest, external time-related factors and social network influence. We show that email captures the demographic peculiarities of different interest groups, for instance, predicting demographic distributions found in US 2012 Presidential Election exit polls. Furthermore, we find that people respond to major national events, as well as to solicitations with special promotions, and that social connections are the most important factor in predicting donation behavior.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
1. Language of Politics on Twitter
Summer School in AI
American University Beirut
June 16, 2015
Yelena Mejova
@yelenamm
Social Computing Group
Qatar Computing Research Institute, HBKU
4. #hashtags
word or phrase preceded by a hash mark (#),
used within a message to identify a keyword
or topic of interest and facilitate a search for it
5. links
all links are shortened by Twitter to form t.co/…
shorter
control for spam, malware, phishing
collect clickthrough information
6. MEME
an idea, behavior, or style that spreads
from person to person within a culture
Richard Dawkins
MEME
7. Monthly active users
302 million (4/28/2015)
Total number of Twitter registered users
“about a billion” (9/16/13)
Unique monthly visitors to Twitter.com (desktop)
36 million (10/3/13)
Daily active twitter users
100 million (10/3/13)
Number of Twitter accounts that have
ever sent a tweet
550 million (4/14/14)
23. questions
where are you from?
are you male or female?
what job do you have?
when did you join?
how active are you?
what do you look like?
are you a bot?
28. #!/usr/bin/env python
# -*- coding: utf-8 -*-
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
import sys
import urllib
# Go to http://dev.twitter.com and create an app.
# The consumer key and secret will be generated for you after
consumer_key = '4x8XS232ncHXewIOPa50eZZWz'
consumer_secret = '0rjF9c34QgjK6nlL9zSpptAmVntDDsXRKV5JS3sQ0bi15flq5Y'
# After the step above, you will be redirected to your app's page.
# Create an access token under the the "Your access token" section
access_token = '2958638362-6VIJ2S7zSX7ellLHvrFLbsJKBKimIDuk62O8ZNP'
access_token_secret='EwqIjYNJKDGhJskYHdMS8nX7dBqpxB94qmmarJL058B9I'
class StdOutListener(StreamListener):
""" A listener handles tweets are the received from the stream.
This is a basic listener that just prints received tweets to
stdout.
"""
def on_data(self, data):
print data[:-1]
return True
def on_error(self, status):
print status
Querying public stream
using python
(1)
https://tinyurl.com/aiss
15-gettweets
29. def auto_restart_stream(auth,listner,l_keywords):
while True:
try:
sapi = Stream(auth, l)
sapi.filter(track=l_keywords)
except:
#print 'Restarting ;)'
continue
if __name__ == '__main__':
keywords =
[u'Cátar',u'Catar',u'Katar',u'Katara',u'Kataras',u'Katari',u'Kataro',u'Qadar',u'Qatar',u'
,'ﺭﻃﻖu'कतर',u'ਕਤਰ',u'卡塔尔',u'卡塔爾',u'카타르',u','קטארu'कतार',u'કતાર''కతర్',u'ກາຕາ',u'カタ
ール',u'Κατάρ',u'Катар',u'Қатар',u'ատար',u'কাতার',u'ಕತಾರ್',u'ഖത്തർ',u'කටාර්',u'
กาตาร์',u','קַאטַארu'கத்தார்',u'ប្រទេសកាតា',u'ကာတာနိုင်ငံ']
l = StdOutListener()
auth = OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
auto_restart_stream(auth,l,keywords)
Querying public stream
using python
(2)
https://tinyurl.com/aiss
15-gettweets
30. {"created_at":"Wed May 13 11:44:24 +0000 2015","id":598453736839598080,"id_str":"598453736839598080","text":"Don't get star struck often but I
like this guy @Mo_Farah you the man boss! Much respect to you! #Doha #qatar http://t.co/wf8nc0C527","source":"u003ca
href="http://twitter.com/download/iphone" rel="nofollow"u003eTwitter for
iPhoneu003c/au003e","truncated":false,"in_reply_to_status_id":null,"in_reply_to_status_id_str":null,"in_reply_to_user_id":null,"in_reply_to_user_i
d_str":null,"in_reply_to_screen_name":null,"user":{"id":788413,"id_str":"788413","name":"Mohsin Ali","screen_name":"mohsin","location":"Doha,
Qatar","url":"http://mohsinali.com","description":"Digital story telling, infogrpahics, interactives, R&D, Emerging Technologies, Future Trends,
Innovation @ajlabs, Global Nomad, Likes Maps. LBA, DHA, BHA,
DOH","protected":false,"verified":false,"followers_count":2422,"friends_count":645,"listed_count":69,"favourites_count":889,"statuses_count":10756,
"created_at":"Thu Feb 22 11:11:01 +0000
2007","utc_offset":10800,"time_zone":"Riyadh","geo_enabled":true,"lang":"en","contributors_enabled":false,"is_translator":false,"profile_background
_color":"C0DEED","profile_background_image_url":"http://pbs.twimg.com/profile_background_images/462946198211407873/xWaKYtpF.jpeg","p
rofile_background_image_url_https":"https://pbs.twimg.com/profile_background_images/462946198211407873/xWaKYtpF.jpeg","profile_backgr
ound_tile":true,"profile_link_color":"0084B4","profile_sidebar_border_color":"FFFFFF","profile_sidebar_fill_color":"DDEEF6","profile_text_color":"333
333","profile_use_background_image":true,"profile_image_url":"http://pbs.twimg.com/profile_images/1249217364/n504379828_3076_normal.j
pg","profile_image_url_https":"https://pbs.twimg.com/profile_images/1249217364/n504379828_3076_normal.jpg","profile_banner_url":"https:
//pbs.twimg.com/profile_banners/788413/1399210132","default_profile":false,"default_profile_image":false,"following":null,"follow_request_sent
":null,"notifications":null},"geo":{"type":"Point","coordinates":[25.316197,51.498302]},"coordinates":{"type":"Point","coordinates":[51.498302,25.3161
97]},"place":{"id":"0181f32937df0de8","url":"https://api.twitter.com/1.1/geo/id/0181f32937df0de8.json","place_type":"admin","name":"Doha","
full_name":"Doha, Qatar","country_code":"QA","country":"u062fu0648u0644u0629
u0642u0637u0631","bounding_box":{"type":"Polygon","coordinates":[[[51.4477039,25.2216],[51.4477039,25.4263938],[51.630581,25.4263938],[5
1.630581,25.2216]]]},"attributes":{}},"contributors":null,"retweet_count":0,"favorite_count":0,"entities":{"hashtags":[{"text":"Doha","indices":[97,102]}
,{"text":"qatar","indices":[103,109]}],"trends":[],"urls":[],"user_mentions":[{"screen_name":"Mo_Farah","name":"Mo
Farah","id":83855918,"id_str":"83855918","indices":[48,57]}],"symbols":[],"media":[{"id":598453717596119040,"id_str":"598453717596119040","indi
ces":[110,132],"media_url":"http://pbs.twimg.com/media/CE4ifEPUIAAhCsG.jpg","media_url_https":"https://pbs.twimg.com/media/CE4ifEPUIA
AhCsG.jpg","url":"http://t.co/wf8nc0C527","display_url":"pic.twitter.com/wf8nc0C527","expanded_url":"http://twitter.com/mohsin/status/59
8453736839598080/photo/1","type":"photo","sizes":{"small":{"w":340,"h":453,"resize":"fit"},"medium":{"w":600,"h":800,"resize":"fit"},"thumb":{"w
":150,"h":150,"resize":"crop"},"large":{"w":768,"h":1024,"resize":"fit"}}}]},"extended_entities":{"media":[{"id":598453717596119040,"id_str":"5984537
17596119040","indices":[110,132],"media_url":"http://pbs.twimg.com/media/CE4ifEPUIAAhCsG.jpg","media_url_https":"https://pbs.twimg.com
/media/CE4ifEPUIAAhCsG.jpg","url":"http://t.co/wf8nc0C527","display_url":"pic.twitter.com/wf8nc0C527","expanded_url":"http://twitter.com/
mohsin/status/598453736839598080/photo/1","type":"photo","sizes":{"small":{"w":340,"h":453,"resize":"fit"},"medium":{"w":600,"h":800,"resize"
:"fit"},"thumb":{"w":150,"h":150,"resize":"crop"},"large":{"w":768,"h":1024,"resize":"fit"}}}]},"favorited":false,"retweeted":false,"possibly_sensitive":fal
se,"filter_level":"low","lang":"en","timestamp_ms":"1431517464252"}
https://tinyurl.com/aiss15-tweetjson
40. questions
what are you interested in?
how do you eat/sleep/work/hang out?
how happy are you?
what political opinions do you have?
what outside sources do you link to?
what new emerging topics are you mentioning?
how do you behave?
are you a bot?
48. questions
how influential are you?
how influential are your connections?
who influences you?
what are people around you like?
do you bring together different communities?
how fast will you know about a piece of news?
are you an opinion leader?
are you a bot?
http://www.businessinsider.com/the-top-twitter-markets-in-the-world-2013-11
An amazing 41% of the online population in Saudi Arabia uses Twitter, a higher percentage than anywhere else in the world. Indonesia and the Philippines were close.
Almost one-third of online audiences in India use Twitter. India, with 36.6 million people on the social network, is also Twitter's third-largest market right after the U.S.
14 countries — including Japan, the UK, South Africa, and Turkey — have heavier Twitter usage than the social network's home market, the U.S.
84.4 million Chinese Internet users report having used Twitter thanks to various hacks despite the fact that it's blocked in the country (along with just about every other Western social media service).
http://www.alex-hanna.com/tworkshops/lesson-7-mention-network-analysis/
Its complexity is quite remarkable, especially for only representing about 10 minutes of tweets. The larger nodes are those that have been mentioned more. The red edges are people who have interacted more than three times. So you see a pretty low incidence of interaction in this short time period, but a lot of mentions of elite users. You can also see a bit of a polarization developed around the two big nodes in the center, which are Obama and Romney. Once you run these analysis across time I’m sure more patterns will emerge.