Connecting Twitter With Scholarly Networks: Exploring HCI Scholars’ Interactions From an SNA Approach

Long-Jing Hsu National Taiwan University ; Weijane Lin National Taiwan University ; Hsiu-Ping Yueh

Abstract

<roman xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>Background:</b></roman> Building a reputable network on Twitter is viewed as impactful in several scholarly disciplines, but little is known about the professional and interdisciplinary human-computer interaction (HCI) community. This study combined two approaches from scholarly communication and technical communication to capture the static and dynamic features of the HCI scholar Twitter network. <roman xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>Literature review:</b></roman> Related studies that described the scholarly reputation built through Twitter and social networking in the field of HCI were reviewed and discussed. <roman xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>Research questions:</b></roman> 1. In which countries are HCI scholars more likely to follow their peers in the same country? 2. What are the characteristics (country, reputation) and actions (reciprocity) of HCI scholars who are more likely to build HCI scholarly network profiles on Twitter? <roman xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>Research methodology:</b></roman> The network analysis method of the exponential random graph model (ERGM) was adopted to trace and visualize current follower networks on Twitter. <roman xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>Results and discussion:</b></roman> We found that 22.9% of HCI scholars use Twitter and that reciprocity and country of current employment best drive the Twitter connections of scholars. Characteristics of HCI scholars’ tie formation online are also illustrated and discussed. <roman xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>Implications for practice:</b></roman> This study contributes to field studies of professional networks by identifying the structural properties and factors that influence scholars’ search for professional development on Twitter. The empirical findings should be a helpful reference for HCI professional societies and individual scholars in operating online professional networks.

Journal
IEEE Transactions on Professional Communication
Published
2022-12-01
DOI
10.1109/tpc.2022.3205511
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Cites in this index (4)

  1. IEEE Transactions on Professional Communication
  2. IEEE Transactions on Professional Communication
  3. Technical Communication Quarterly
  4. Technical Communication Quarterly
Also cites 74 works outside this index ↓
  1. 10.1007/s40299-018-0424-z
  2. 10.1145/3411764.3445488
  3. 10.1080/1461670X.2014.939849
  4. 10.1198/016214507000000446
  5. 10.1086/680060
  6. 10.1016/j.socnet.2011.05.006
  7. 10.29024/joa.13
  8. 10.1007/s10734-015-9900-z
  9. 10.1093/icc/dtv037
  10. 10.1007/s13278-019-0612-8
  11. 10.1080/07370024.2013.823823
  12. 10.1145/1693042.1693076
  13. 10.1177/2053951715589417
  14. 10.1016/j.iheduc.2016.02.002
  15. 10.1080/19415257.2018.1562957
  16. 10.1177/0894439318763580
  17. 10.1109/HICSS.2006.394
  18. 10.1177/0961000618769977
  19. 10.1080/17439884.2015.1015547
  20. 10.1177/0899764020959472
  21. 10.1080/10447318.2020.1819668
  22. 10.1002/asi.22798
  23. 10.1093/reseval/rvv049
  24. 10.3390/su11195172
  25. 10.1016/j.joi.2017.02.011
  26. 10.1007/s11192-017-2497-5
  27. 10.1371/journal.pone.0203594
  28. 10.1145/3394231.3397889
  29. 10.1016/j.joi.2017.08.002
  30. 10.1177/2056305120969914
  31. 10.2307/2786835
  32. 10.1016/j.techfore.2017.02.011
  33. 10.1007/s11423-020-09790-5
  34. 10.1177/1077699014550092
  35. 10.1080/1360144X.2018.1520109
  36. 10.19173/irrodl.v18i2.2859
  37. 10.1007/s11192-018-2970-9
  38. 10.1111/j.1365-2729.2011.00449.x
  39. 10.1108/LHT-05-2019-0101
  40. 10.1007/s11192-020-03636-w
  41. 10.1177/0093650214559601
  42. 10.1177/009365089016005004
  43. 10.1177/1461444817707349
  44. 10.1080/03637751.2020.1869797
  45. 10.1007/s11192-016-2126-8
  46. 10.1145/3334480.3375068
  47. 10.1108/01443570910986201
  48. 10.1007/s11192-011-0552-1
  49. 10.1002/bult.2013.1720390404
  50. 10.1002/asi.23833
  51. 10.1093/reseval/rvy039
  52. 10.1016/j.chb.2012.07.004
  53. 10.1080/10447318.2018.1471838
  54. 10.1016/j.adro.2017.06.003
  55. 10.1007/s11192-019-03112-0
  56. 10.1080/07370024.2018.1469410
  57. 10.1371/journal.pone.0064841
  58. 10.1145/2696863
  59. 10.1023/B:SCIE.0000027796.55585.61
  60. 10.2307/41410412
  61. 10.3145/epi.2019.ene.02
  62. 10.1002/asi.23825
  63. 10.1109/ASONAM.2009.65
  64. 10.1109/PICMET.2007.4349633
  65. 10.1145/985921.986203
  66. 10.1007/s11192-013-1081-x
  67. 10.1007/BF02459299
  68. 10.1177/0894439316671698
  69. 10.1002/asi.24458
  70. 10.1145/3411763.3451646
  71. 10.1162/qss_a_00047
  72. 10.1002/ecs2.2899
  73. 10.1080/0309877X.2015.1014321
  74. 10.1016/j.cell.2007.04.032