Understanding Social Networks: A Comprehensive Overview

Posted on Oct 31, 2024 in Mathematics

1. Definition of Social Networks

Social networks are forms of social interaction, defined as a dynamic exchange between individuals, groups, and institutions in complex contexts.

2. Social Networking Features

Social networks are open and continuously evolving, involving groups with shared needs and problems, organized to leverage their resources. Their purposes are varied but non-profit, ranging from connecting with classmates, friends, and relatives to fostering professional relationships and business opportunities.

3. A Brief History of Social Networks

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4. Comparison of Social Networks

MySpace

MySpace offers personal profiles including networks of friends, groups, blogs, photos, videos, and music. It features internal messaging and search functionality, boasting 100,000,000 users.

YouTube

YouTube is a video-sharing platform created in February 2005 and acquired by Google in 2006. It uses Adobe Flash technology and hosts diverse content, including movies, TV shows, music videos, and user-generated videos like vlogs.

Sonic

Sonic is a free social network targeting Latin American audiences. It allows users to connect with friends, manage profiles, upload photos and videos, organize events, play games, and interact through messaging and comments.

Hi5

Hi5 lets users customize profiles with personal information and preferences, including marital status, age, religion, interests, and favorite media. All registered information is visible to other users unless access is restricted.

5. Quantitative Variables

Quantitative variables use numerical responses. Discrete variables are integers (e.g., age). Continuous variables fall within a range (e.g., height).

6. Qualitative Variables

Qualitative variables describe qualities or characteristics using text or numerical digits.

7. Sample

A sample is the group of individuals surveyed.

8. Population

A population is the entire group of individuals.

9. Research Method

a) Theoretical Framework

The theoretical framework outlines the concepts, theories, and hypotheses that define the research problem. It guides the investigation and considers existing scientific evidence.

b) Research Problem

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c) Assumptions

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d) Phases of the Method

  1. Problem:
    1. Exploration
    2. Formulation
  2. Empirical:
    • Define the research data set
    • Define arrays and universe
    • Choose data collection elements
  3. Design (matrix formulation of survey data)
  4. OS:
  5. Collecting and procedure, drafting tables and graphs, reading the results
  6. Treatment and Results:
  7. Expository:
    1. Reporting (report writing)
    2. Presentation

e) Frequency (Relative/Absolute), Average, Median, and Mode

Relative frequency is the fraction of survey data. Absolute frequency is the total number of answers. Average is the sum of all values divided by the number of values (for quantitative variables). Mode is the most frequent value. Median is the central value when data is ordered, or the average of the two central values.

f) Digital Divide

The digital divide refers to the socioeconomic gap between communities with and without internet access.