This section analyzes the locations of tweeters.
Measure List
Origination of tweet (in-degree centrality)-Tweet x Location
Origination of tweet (in-degree centrality)
The most popular locations from which tweets are sent.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Tweet x Location
Rank Location Value Unscaled 1 Brooklyn, NY 3.407e-05 29 2 Washington, DC 2.819e-05 24 3 Washington, DC 2.584e-05 22 4 Sacramento, CA 1.410e-05 12 5 Brooklyn, NY 1.292e-05 11 6 Washington, DC 1.292e-05 11 7 Cayman Islands 9.397e-06 8 8 Del Monte Forest, CA 9.397e-06 8 9 LAT: 19.33333, LON: -81.21667 9.397e-06 8 10 Manhattan, NY 9.397e-06 8 11 Manhattan, NY 8.223e-06 7 12 Washington, DC 8.223e-06 7 13 Los Angeles, CA 7.048e-06 6 14 Washington, DC 7.048e-06 6 15 Florida, USA 5.873e-06 5 16 Cayman Islands 4.699e-06 4 17 Los Angeles, CA 4.699e-06 4 18 Manhattan, NY 4.699e-06 4 19 Tallahassee, FL 4.699e-06 4 20 Washington, DC 4.699e-06 4 21 Aguilares, El Salvador 3.524e-06 3 22 Cayman Islands 3.524e-06 3 23 Crozet, VA 3.524e-06 3 24 Manhattan, NY 3.524e-06 3 25 Parkland, FL 3.524e-06 3 26 Pikesville, MD 3.524e-06 3 27 Washington, DC 3.524e-06 3 28 Boston, PA 2.349e-06 2 29 Canas Urbano, USA 2.349e-06 2 30 Cayman Islands 2.349e-06 2 31 Charlotte, NC 2.349e-06 2 32 Charlotte, NC 2.349e-06 2 33 Croton-on-Hudson, NY 2.349e-06 2 34 Dania Beach, FL 2.349e-06 2 35 Fort Washington, MD 2.349e-06 2 36 Hillsboro, OR 2.349e-06 2 37 Israel 2.349e-06 2 38 Konterra, MD 2.349e-06 2 39 Lauderhill, FL 2.349e-06 2 40 Manhattan, NY 2.349e-06 2 41 Manhattan, NY 2.349e-06 2 42 Maryland, USA 2.349e-06 2 43 Merriam, KS 2.349e-06 2 44 Minneapolis, MN 2.349e-06 2 45 Orlando, FL 2.349e-06 2 46 Plantation, FL 2.349e-06 2 47 Washington, DC 2.349e-06 2 48 Washington, DC 2.349e-06 2 49 Washington, DC 2.349e-06 2 50 Washington, DC 2.349e-06 2 51 Washington, DC 2.349e-06 2 52 Washington, DC 2.349e-06 2 53 Washington, DC 2.349e-06 2 54 Washington, DC 2.349e-06 2 55 Afghanistan 0 1 56 Agdal, Royaume du Maroc 0 1 57 Agdal, Royaume du Maroc 0 1 58 Alabama, USA 0 1 59 Albuquerque, NM 0 1 60 Alexandria, VA 0 1 61 Alexandria, VA 0 1 62 Arlington, VA 0 1 63 Arlington, VA 0 1 64 Arlington, VA 0 1 65 Atlanta, GA 0 1 66 Austin, TX 0 1 67 Austin, TX 0 1 68 Bahrain 0 1 69 Bethesda, MD 0 1 70 Bogotá, D.C., Colombia 0 1 71 Boquerón, Puerto Rico 0 1 72 Boston, MA 0 1 73 Brookings, SD 0 1 74 Buffalo, NY 0 1 75 Buffalo, NY 0 1 76 Buffalo, NY 0 1 77 Buffalo, NY 0 1 78 Buffalo, NY 0 1 79 California, MD 0 1 80 California, MD 0 1 81 California, USA 0 1 82 California, USA 0 1 83 California, USA 0 1 84 Camden Town, London 0 1 85 Camden Town, London 0 1 86 Carpinteria, CA 0 1 87 Cayman Islands 0 1 88 Cayman Islands 0 1 89 Cayman Islands 0 1 90 Chevy Chase Village, MD 0 1 91 Chicago, IL 0 1 92 Colorado, USA 0 1 93 Deerfield Beach, FL 0 1 94 Edgewood, PA 0 1 95 Emmitsburg, MD 0 1 96 Escondido, CA 0 1 97 Essaouira, Royaume du Maroc 0 1 98 Fairfax, VA 0 1 99 Falls Church, VA 0 1 100 Florida, USA 0 1
Scaled value statistics Min: 1.175e-06 Mean: 2.152e-06 Lower quartile: 1.175e-06 Max: 3.407e-05 Std.dev: 3.545e-06 Median: 1.175e-06 Upper quartile: 1.175e-06