# Friends are better than you: Friendship paradox and its social consequences - Networks shap behavior - Network with blue and yellow : identical topologies but stoll different perceptions Paper: K schaul: Quick puzzle to tell whether you know what people are thinking - Networks distorty local information: Example: college students overestimate peers' alcohol use - Friendship paradox: Origins; bias in directed networks, polling; Friendship paradox: Your friends have more friends than you do, on average. Generalized FP: You are frinds are more X than you are on average. Strong FP: Most of your friends have more friends than you do. Generalized SP: Most of your friends are more X than you are Majority illusion: Most of your friends have a trait, even if it is rare. - Strong friendship paradox: 90% of the nodes in a social network provided evidence of strong friendship paradox - Also holds for activity, diversity and virality in a social media setting FP and GFP are explained by sampling properties: long tailed distributions (which the speaker calls a hetereogenous distribution) - The slide on PDF vs X had some serious problems: First of all what is a hetereogenous distribution> Median is unaffected by sample size. - First order (1k) structure: Long tailed arrises because very few nodes have high degrees - Degree distribution of neighbors overpowers that of the nodes. - Joint degree distribution for modeling degree assortavity - NREla world networks have third order structure? - Friendship paradox in directed networks? - Followers are more popular than the main person on twitter - Global popularity is different from local perception - Polling: What is the right question to ask in a poll? - Intent polling: b random votes: Will you vote for X? - Node perceltption polling: Who will your friends vote for X? - Follower perception polling (FPP): What fractions fo your friends will vote for X? [ b random followers] - Network strucutre is very important: can have different affect on the perception Open questions: Are freinds happiner than you are? Are your coauthors more prestigious than you are?