soo trends pt2

SOCIAL NETWORK

> structure made up of individuals, groups, or organizations that are linked through relationships or interactions.

> web of connections where information, support, and influence flow.

Micro Level

> individuals and their personal connections (family, friends, classmates, co-workers)

> Example: Sharing news in a private group chat

with friends.

Meso Level

> institutions, organizations, or communities that connect larger groups of people

> Example: Schools, Barangays, LGUs, NGOs,

youth organizations, or parish groups

Macro Level

> broad networks of society and global communities.

> Example: National Political Networks, Global

Movements, International Organization, Social

Media

Social media

> online platforms that allow people to create, share, and interact with content while connecting with others in real time

> virtual version of social networks, making

connections faster and more accessible.

Interactivity

Enables two-way communication (users can react, comment, and share)

User-Generated Content

Posts, videos, photos, memes, and other content created by users.

Connectivity

Easy access to connect with family, friends, communities, and even strangers worldwide.

Real-Time Updates

Instant sharing of information, news, and trends.

Community Building

Creates groups, fandoms, or online movements based on shared interests.

Virality

Content can spread rapidly and reach thousands or even millions of people.

NEURAL

> neuron ; "nerve cell."

> related to the nervous system or neurons (the cells that carry information in the brain and

body)

> stub your toe, a blank signal is sent to your brain to tell you how much it hurts.

NEURAL NETWORK

> essentially a complex, adaptive machine learning model that learns to recognize patterns and relationships directly from data.

> achieves this by using a layered structure of

interconnected mathematical functions,

called nodes or artificial neurons.

Input Layer

Takes in the raw data

Hidden Layers

Perform the bulk of the processing. Information passes through these layers, getting transformed and distilled into more abstract patterns

Output Layer

Provides the final result or prediction (e.g., classifying an image as a "cat" or "dog").

Social Media

Recognizing people in photos (tag suggestions)

Healthcare

Detecting diseases using medical images

Technology

Voice assistants like Siri, Alexa, or Google Assistant

Finance

Detecting possible credit card fraud

> They help make our lives easier through automation and intelligent systems

> They are used in almost all industries: education, healthcare,

transportation, and communication

> important for young people to understand this technology to prepare for future jobs

IMPORTANCE OF NEURAL NETWORKS