SOCIAL NETWORK JARGONS.pptx

“The strength of a network lies NOT in the number of connections, but in the quality of those connections” – Reid Hoffman (LinkedIn)  Empathy Map 1. After being formed in groups of 4, each student writes down one personal or academic challenge on their given paper for twe...

“The strength of a network lies NOT in the number of connections, but in the quality of those connections” – Reid Hoffman (LinkedIn)  Empathy Map 1. After being formed in groups of 4, each student writes down one personal or academic challenge on their given paper for twenty (20) seconds. 2. Pass the paper to the person on their right.  Empathy Map 3. The next student writes how they would feel if they were in that situation for twenty (20) seconds as well. 4. Keep passing the paper until everyone in the group has added their thoughts.  Social Network Jargons Midterm, 1st Semester, A.Y. 2024- 2025  At the end of the lesson, the students should be able to: a. distinguish the functions of different network jargons through analogy; b. simulate real-life examples of various network jargons by collaborating with their peers on “the boat is sinking”; and c. demonstrate empathy amongst their peers as they discover the impact of social networking analysis in their classroom.  How does understanding someone’s personal experiences help in building more effective and supportive social networks in real life? Social Networking Analysis (SNA) A research methodology that delves deep into the patterns of relationships between interconnected entities, whether individuals, organizations, or other units. (Derr, 2023)  SNA shows who’s linked to whom and looks at how strong and important those connections are. In what ways do you think people are being connected to one another?  Jargon is the complex language used by experts in a certain profession or group, offering clarity and precision to those inside. (Nordquist, 2024)  Nodes (Vertices) Individual actors within the networks  Who or what are considered as “nodes” in our society?  Edges (Links/Ties) Relationships between the actors  Density Measures how many connections exist in the network. Q: When there is high density, many nodes are connected to each other, leading to a faster transfer of information. True or False?  Three Kinds of Social Networks (1) Egocentric Specific individual and its immediate or close connections.  (2) Sociocentric Closely connected by default, there is no choice given but to form bonds with others to progress. Q: Do you consider family as a Sociocentric Network? Why or why not?  (3) Open System There’s a possibility of mutuality despite sharing minimal connection such as through other nodes or interests.  Degree Number of direct connections a single node has to its network.  Homophily Likelihood of a node connecting to others with similar traits.  Heterophily Tendency of a node connecting to others despite dissimilar traits.  Multiplexity Existence of different relationships or ties between two nodes.  Reciprocity There is mutual support provided between nodes. Cut-point (Broker/Bridge) A node that once cut or removed, will disconnect the whole network. Homophily Heterophily Multiplexity Reciprocity Cut-point  If someone in this class knows almost everyone, do they have a high or low degree in our network? Why or why not?  If one key person stops communicating, and it breaks the network into smaller groups, what is this person called in social network analysis?  Why is it important to understand both similar connections (homophily) and different connections (heterophily) in building strong networks?  “The Boat is Sinking” with Network Jargon 1. The teacher will call out a social network jargon, which then will be repeated twice. 2. Afterwards, students have five (5) seconds to find their group or partner based on the jargon. 3. If you don’t group in time, you’re “out”. 4. The game continues until one group or pair is left. The last standing is exempted from the evaluation.  Do an advance reading on the Degrees, use these sub-topics as your guide: 1. Two Measures of Degrees (In and Out-degree) 2. Five Hypothetical Networks 3. Directed, Undirected, Reciprocal, Weighted, and Self-loop Edges Thank you for participating! CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon and infographics & images by Freepik Please keep this slide for attribution