• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

The Impacts Of Big Data On Love, Relationships and Behaviors

Ali Rebaie / 3 min read.
May 25, 2016
Datafloq AI Score
×

Datafloq AI Score: 69

Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality.

Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to contact us.

floq.to/nlb1W

With Big Data, we can store and analyze health record data to predict the likelihood of going to a hospital or analyze our daily expenditures to identify better saving patterns or even analyze our calendar to adjust a better schedule and become more productive. Then, why cant we predict the likelihood of having a successful relationship or break up using Big Data?

Big Data can be used, for example, to store and analyze our communication with our partner via instant messaging applications like WhatsApp, Facebook Messenger, or WeChat. The figure below shows an example of the frequency of texts between partners in a mobile messaging application. You can also show the most common words or phrases mentioned in their conversations. The heart figure in the bottom shows both positive and negative words discussed between a couple in conversations (The bigger the word, the more times it was mentioned during a conversation). Negative words like Forgot might mean forgetting a special occasion or something a partner would care for.

Average number texts

Would such text analytics be useful? Research findings show that distance plays a significant role in increasing text volume and usage compared to other communication mediums face-to-face. Analyzing texting among couples also predicts personalities based on the attachment literature. To illustrate, avoidant people are usually uncomfortable with emotional intimacy and dont express their problems, support, or even ask for support from their partners. Thus, they use the less intimate communication channeltexting to maintain their close relationship. Anxiously attached individuals constantly fear that their partner will abandon them and they are more likely to use texting along with other communication methods to keep their partner close by. Besides, texting frequently does not mean a bad relationship, but relying on texting compared to other communication channels would negatively affect relationships

love

Several researches proved that in close relationships, direct behavior is not the primary factor of satisfaction. Communication skills is another main factor that reflects the perception of one another behavior. Thus, apprehension of behavior is equally important where secure partners are more likely to use adaptive emotional communication, whereas insecure partners show dysfunctional communication patterns. Big Data can be used here to detect patterns of communications  in order to show whether a relationship is destined to succeed or no.

To illustrate, an experiment was run by Gottman, a psychologist who built a mock apartment and analyzed couples behavior by hooking them to electrodes and placing surveillance cameras. Data were analyzed from couples heart rates and vascular tone while they flirted and fought. Also, professionals analyzed cameras data for facial expressions.

They found that couples that stay happy used a lot of we, whereas couples that turned out unhappy used I, me and mine.  Thus, its the couples capacity to be patient, calm down, and express empathy is what reduced arousal and thus predicted the status of their marriage.

Big Data systems can be used to analyze physical data including sweating, heart rate, skin temperature, along with analyzing facial expressions through video analytics, and even text analytics through natural language processing, and then we can develop a guidance system that can predict the likelihood of having a successful relationship.


Interested in what the future will bring? Download our 2023 Technology Trends eBook for free.

Consent

Besides, Big Data analytics can also be used to offer a real-time recommendations for partners. It will eventually store affinities and interests of one another discussed previously during communication in order to provide them with contextual recommendations accordingly. For example, a partner might mention a likelihood for cupcakes. This engine might give a real-time alert as her partner pass by a cupcake shop during a special occasion like Valentine. And who knows, in the near future, we might be wearing augmented reality glasses and seeing the personality traits of our crush in front of us, thus, giving us the ability to match the right partner.

On the other hand, scholars might critique the implications of such experiments on our emotional intimacy and others might fear the infringement on our privacy.

I would like to hear your thoughts about this topic. Feel free to comment below. Do you think Big Data analytics should ever be used in such emotional human moments? If yes, what are the positive or negative consequences of this usage?

–

References:

Meeks, B. S., Hendrick, S. S., & Hendrick, C. (1998). Communication, love and relationship satisfaction. Journal of Social and Personal Relationships,15(6), 755-773.

Luo, S. (2014). Effects of texting on satisfaction in romantic relationships: The role of attachment. Computers in Human Behavior, 33, 145-152.

Love in The Age of Big Data, Huffington Post

Categories: Big Data
Tags: Big Data, health, predictive analytics, relationships

About Ali Rebaie

Ali Rebaie is a principal analyst at Rebaie Analytics Group. He is also a prominent blogger and keynote speaker. A data science anthropologist, and phenomenologist, Rebaie has been studying the impact of data patterns that govern changes in business, human affairs, and culture. His research, keynotes, and consulting help data natives and business executives to draw power from these universal patterns to better understand its impact on people and the role each one of us play in the data era.

As a part of his work at Rebaie Analytics Group, Rebaie has led and developed several data-driven strategies for different industries such as media, marketing, retail, oil & gas, public sector, and transportation to help them become competitive in the new economy. Ali has contributed and quoted in leading technology and media outlets including WIRED, CIO, Yahoo, Computer World etc...

Ali also appeared in several lists of "Who's Who in Big Data" and as one of the top 100 big data influencers worldwide. Ali is a frequent speaker at international conferences and regularly trains on data science and visualization. As a School of Data fellow, he aims at growing a community of data enthusiasts, spreading data skills and educating on the use of big data for public good.

As a part of his work with big data and analytics, Rebaie has led and developed several technology projects across business intelligence for different industries such as media, marketing, oil & gas and transportation. Ali is a member of the internationally renowned Boulder BI Brain Trust (BBBT). If you would like to read my upcoming posts about "Big Data", you can connect with himvia Twitter, like his page on Facebook, or sign-up to my his blog.

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post

Related Articles

Cybersecurity World Asia

March 29, 2023 By r.chan

Top 6 Cybersecurity Certification Programs in 2023

March 22, 2023 By Lucia Adams

Empowering Cyber Defenders: The Role of AI in Securing Our Digital Future

March 13, 2023 By Jessica Wade

Related Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics app application applications Artificial Intelligence BI Big Data blockchain business China Cloud Companies company costs crypto Data design development digital environment experience future Google+ government Group health information machine learning market mobile news public research security services share skills social social media software strategy technology

Related Events

  • 6th Middle East Banking AI & Analytics Summit 2023 | Riyadh, Saudi Arabia - May 10, 2023
  • Data Science Salon NYC: AI & Machine Learning in Finance & Technology | The Theater Center - December 7, 2022
  • Big Data LDN 2023 | Olympia London - September 20, 2023
More events

Related Online Courses

  • Cybersecurity World Asia
  • Introduction to Computer Security
  • Management Communication
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • 12 Data Quality Metrics That ACTUALLY Matter
  • How to Build Microservices with Node.js
  • How to Validate OpenAI GPT Model Performance with Text Summarization (Part 1)
  • What is Enterprise Application Integration (EAI), and How Should Your Company Approach It?
  • 5 Best Data Engineering Projects & Ideas for Beginners

Search

Tags

AI Amazon analysis analytics app application applications Artificial Intelligence BI Big Data blockchain business China Cloud Companies company costs crypto Data design development digital environment experience future Google+ government Group health information machine learning market mobile news public research security services share skills social social media software strategy technology

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

settings

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!