CN104123377A - 一种微博话题热度预测系统及方法 - Google ...

本发明涉及社交网络技术领域，特别是一种微博话题热度预测系统及方法，所述方法包括如下步骤：首先，根据用户关系及话题因素计算用户影响力；接着根据话题相关的微博和 ... CN104123377A-一种微博话题热度预测系统及方法 -GooglePatents 一种微博话题热度预测系统及方法 DownloadPDF Info Publicationnumber CN104123377A CN104123377A CN201410368076.XA CN201410368076A CN104123377A CN104123377A CN104123377A CN104123377A CN201410368076A CN201410368076A CN201410368076A CN104123377A CN104123377A CN104123377A Authority CN China Priorartkeywords topic user represent energy temperature Priorartdate 2014-07-30 Legalstatus(Thelegalstatusisanassumptionandisnotalegalconclusion.Googlehasnotperformedalegalanalysisandmakesnorepresentationastotheaccuracyofthestatuslisted.) Granted Applicationnumber CN201410368076.XA Otherlanguages English(en) Otherversions CN104123377B (zh Inventor 陈羽中 郭文忠 陈国龙 方明月 CurrentAssignee(Thelistedassigneesmaybeinaccurate.Googlehasnotperformedalegalanalysisandmakesnorepresentationorwarrantyastotheaccuracyofthelist.) FuzhouUniversity OriginalAssignee FuzhouUniversity Prioritydate(Theprioritydateisanassumptionandisnotalegalconclusion.Googlehasnotperformedalegalanalysisandmakesnorepresentationastotheaccuracyofthedatelisted.) 2014-07-30 Filingdate 2014-07-30 Publicationdate 2014-10-29 2014-07-30 ApplicationfiledbyFuzhouUniversity filed Critical FuzhouUniversity 2014-07-30 PrioritytoCN201410368076.XA priority Critical patent/CN104123377B/zh 2014-10-29 PublicationofCN104123377A publication Critical patent/CN104123377A/zh 2017-06-06 Applicationgranted granted Critical 2017-06-06 PublicationofCN104123377B publication Critical patent/CN104123377B/zh Status Expired-FeeRelated legal-status Critical Current 2034-07-30 Anticipatedexpiration legal-status Critical Links Espacenet GlobalDossier Discuss YHXISWVBGDMDLQ-UHFFFAOYSA-N moclobemide Chemicalcompound data:image/svg+xml;base64,<?xml version='1.0' encoding='iso-8859-1'?>
<svg version='1.1' baseProfile='full'
              xmlns='http://www.w3.org/2000/svg'
                      xmlns:rdkit='http://www.rdkit.org/xml'
                      xmlns:xlink='http://www.w3.org/1999/xlink'
                  xml:space='preserve'
width='300px' height='300px' viewBox='0 0 300 300'>
<!-- END OF HEADER -->
<rect style='opacity:1.0;fill:#FFFFFF;stroke:none' width='300' height='300' x='0' y='0'> </rect>
<path class='bond-0' d='M 97.8986,179.086 L 70.4726,186.907' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-0' d='M 92.2204,174.774 L 73.0222,180.249' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-17' d='M 97.8986,179.086 L 104.838,151.423' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-1' d='M 70.4726,186.907 L 49.9861,167.066' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-2' d='M 49.9861,167.066 L 39.8983,169.943' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-2' d='M 39.8983,169.943 L 29.8105,172.82' style='fill:none;fill-rule:evenodd;stroke:#5BB772;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3' d='M 49.9861,167.066 L 56.9256,139.404' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3' d='M 56.5595,164.305 L 61.4172,144.941' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4' d='M 56.9256,139.404 L 84.3517,131.582' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-5' d='M 84.3517,131.582 L 104.838,151.423' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-5' d='M 83.4565,138.656 L 97.797,152.545' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6' d='M 104.838,151.423 L 132.264,143.602' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7' d='M 135.03,144.296 L 137.001,136.44' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7' d='M 137.001,136.44 L 138.972,128.583' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7' d='M 129.498,142.908 L 131.469,135.052' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7' d='M 131.469,135.052 L 133.44,127.195' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-8' d='M 132.264,143.602 L 138.391,149.536' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-8' d='M 138.391,149.536 L 144.518,155.47' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-9' d='M 162.371,160.7 L 171.274,158.161' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-9' d='M 171.274,158.161 L 180.177,155.622' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10' d='M 180.177,155.622 L 200.663,175.463' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-11' d='M 200.663,175.463 L 209.566,172.924' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-11' d='M 209.566,172.924 L 218.469,170.385' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-12' d='M 236.322,175.615 L 242.449,181.549' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-12' d='M 242.449,181.549 L 248.576,187.482' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-18' d='M 230.515,157.974 L 232.772,148.976' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-18' d='M 232.772,148.976 L 235.029,139.979' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-13' d='M 248.576,187.482 L 276.002,179.661' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-14' d='M 276.002,179.661 L 277.973,171.805' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-14' d='M 277.973,171.805 L 279.944,163.948' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-15' d='M 274.709,144.026 L 268.582,138.092' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-15' d='M 268.582,138.092 L 262.455,132.158' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-16' d='M 262.455,132.158 L 235.029,139.979' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<text x='13.6364' y='180.591' class='atom-3' style='font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#5BB772' >C</text>
<text x='21.5077' y='180.591' class='atom-3' style='font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#5BB772' >l</text>
<text x='135.781' y='121.644' class='atom-8' style='font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='149.328' y='169.147' class='atom-9' style='font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#4284F4' >N</text>
<text x='149.328' y='179.186' class='atom-9' style='font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#4284F4' >H</text>
<text x='224.667' y='173.345' class='atom-12' style='font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#4284F4' >N</text>
<text x='279.519' y='157.703' class='atom-15' style='font-size:11px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
</svg>
 data:image/svg+xml;base64,<?xml version='1.0' encoding='iso-8859-1'?>
<svg version='1.1' baseProfile='full'
              xmlns='http://www.w3.org/2000/svg'
                      xmlns:rdkit='http://www.rdkit.org/xml'
                      xmlns:xlink='http://www.w3.org/1999/xlink'
                  xml:space='preserve'
width='85px' height='85px' viewBox='0 0 85 85'>
<!-- END OF HEADER -->
<rect style='opacity:1.0;fill:#FFFFFF;stroke:none' width='85' height='85' x='0' y='0'> </rect>
<path class='bond-0' d='M 28.2667,49.8731 L 20.7459,52.0178' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-0' d='M 26.7096,48.6906 L 21.4451,50.192' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-17' d='M 28.2667,49.8731 L 30.1696,42.2876' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-1' d='M 20.7459,52.0178 L 15.1281,46.5771' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-2' d='M 15.1281,46.5771 L 11.7423,47.5426' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-2' d='M 11.7423,47.5426 L 8.35639,48.5082' style='fill:none;fill-rule:evenodd;stroke:#5BB772;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3' d='M 15.1281,46.5771 L 17.0311,38.9915' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3' d='M 16.9307,45.8198 L 18.2628,40.51' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4' d='M 17.0311,38.9915 L 24.5518,36.8468' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-5' d='M 24.5518,36.8468 L 30.1696,42.2876' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-5' d='M 24.3063,38.7865 L 28.2388,42.595' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6' d='M 30.1696,42.2876 L 37.6903,40.1428' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7' d='M 38.4489,40.3331 L 38.9995,38.1381' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7' d='M 38.9995,38.1381 L 39.5502,35.9431' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7' d='M 36.9318,39.9525 L 37.4824,37.7575' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7' d='M 37.4824,37.7575 L 38.0331,35.5625' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-8' d='M 37.6903,40.1428 L 39.5015,41.8969' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-8' d='M 39.5015,41.8969 L 41.3126,43.6509' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-9' d='M 45.3036,45.0145 L 48.0662,44.2267' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-9' d='M 48.0662,44.2267 L 50.8289,43.4388' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10' d='M 50.8289,43.4388 L 56.4466,48.8796' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-11' d='M 56.4466,48.8796 L 59.2092,48.0918' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-11' d='M 59.2092,48.0918 L 61.9718,47.3039' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-12' d='M 65.9629,48.6675 L 67.774,50.4215' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-12' d='M 67.774,50.4215 L 69.5851,52.1756' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-18' d='M 64.468,44.7393 L 65.1691,41.9443' style='fill:none;fill-rule:evenodd;stroke:#4284F4;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-18' d='M 65.1691,41.9443 L 65.8703,39.1493' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-13' d='M 69.5851,52.1756 L 77.1059,50.0309' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-14' d='M 77.1059,50.0309 L 77.6565,47.8359' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-14' d='M 77.6565,47.8359 L 78.2072,45.6409' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-15' d='M 77.0133,40.5127 L 75.2022,38.7586' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-15' d='M 75.2022,38.7586 L 73.391,37.0046' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-16' d='M 73.391,37.0046 L 65.8703,39.1493' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<text x='2.91395' y='51.7218' class='atom-3' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#5BB772' >C</text>
<text x='7.05395' y='51.7218' class='atom-3' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#5BB772' >l</text>
<text x='37.7933' y='35.5573' class='atom-8' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='41.5081' y='48.5836' class='atom-9' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#4284F4' >N</text>
<text x='41.5081' y='53.8636' class='atom-9' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#4284F4' >H</text>
<text x='62.1674' y='49.7348' class='atom-12' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#4284F4' >N</text>
<text x='77.2088' y='45.4453' class='atom-15' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
</svg>
 C1=CC(Cl)=CC=C1C(=O)NCCN1CCOCC1 YHXISWVBGDMDLQ-UHFFFAOYSA-N 0.000 claims abstract description 15 230000001131 transforming Effects 0.000 claims abstract description 5 241001151997 Arenariamarschlinsii Species 0.000 claims abstract 6 280000974253 Arima companies 0.000 claims abstract 6 238000000034 methods Methods 0.000 claims description 19 238000009825 accumulation Methods 0.000 claims description 15 240000005158 Phaseolusvulgaris Species 0.000 claims description 13 235000010627 Phaseolusvulgaris Nutrition 0.000 claims description 13 230000000050 nutritive Effects 0.000 claims description 13 238000000354 decompositionreactions Methods 0.000 claims description 8 230000005526 G1toG0transition Effects 0.000 claims description 3 108010074506 TransferFactor Proteins 0.000 claims description 3 238000010521 absorptionreactions Methods 0.000 claims description 3 230000001276 controllingeffects Effects 0.000 claims description 3 230000000875 corresponding Effects 0.000 claims description 3 238000002592 echocardiography Methods 0.000 claims description 3 235000016709 nutrition Nutrition 0.000 claims description 3 230000035764 nutrition Effects 0.000 claims description 3 238000005295 randomwalk Methods 0.000 claims description 3 238000004088 simulation Methods 0.000 claims description 3 230000003313 weakening Effects 0.000 claims description 2 239000010410 layers Substances 0.000 claims 2 239000011135 tin Substances 0.000 claims 2 238000010586 diagram Methods 0.000 description 4 230000000694 effects Effects 0.000 description 2 230000001537 neural Effects 0.000 description 2 241001123248 Arma Species 0.000 description 1 230000032683 aging Effects 0.000 description 1 230000018109 developmentalprocess Effects 0.000 description 1 239000002360 explosive Substances 0.000 description 1 230000001373 regressive Effects 0.000 description 1 Classifications G—PHYSICS G06—COMPUTING;CALCULATING;COUNTING G06F—ELECTRICDIGITALDATAPROCESSING G06F16/00—Informationretrieval;Databasestructurestherefor;Filesystemstructurestherefor G06F16/90—Detailsofdatabasefunctionsindependentoftheretrieveddatatypes G06F16/95—Retrievalfromtheweb G06F16/958—Organisationormanagementofwebsitecontent,e.g.publishing,maintainingpagesorautomaticlinking G—PHYSICS G06—COMPUTING;CALCULATING;COUNTING G06Q—DATAPROCESSINGSYSTEMSORMETHODS,SPECIALLYADAPTEDFORADMINISTRATIVE,COMMERCIAL,FINANCIAL,MANAGERIAL,SUPERVISORYORFORECASTINGPURPOSES;SYSTEMSORMETHODSSPECIALLYADAPTEDFORADMINISTRATIVE,COMMERCIAL,FINANCIAL,MANAGERIAL,SUPERVISORYORFORECASTINGPURPOSES,NOTOTHERWISEPROVIDEDFOR G06Q50/00—Systemsormethodsspeciallyadaptedforspecificbusinesssectors,e.g.utilitiesortourism G06Q50/01—Socialnetworking Abstract 本发明涉及社交网络技术领域，特别是一种微博话题热度预测系统及方法，所述方法包括如下步骤：首先，根据用户关系及话题因素计算用户影响力；接着根据话题相关的微博和用户影响力，计算话题能量值，量化话题热度；最后结合小波变换与ARIMA回归模型，预测话题热度。

所述系统和方法可以实现社交网络热点话题的热度预测，挖掘话题被关注的情况及变化趋势，从海量微博信息中了解并预测出用户所关注话题的热度趋势，并且具有较高的准确度。

Description 一种微博话题热度预测系统及方法 技术领域 [0001]本发明涉及社交网络技术领域，特殊涉及一种微博话题热度预测系统及方法。

背景技术 [0002]微博已成为互联网的一种时尚，随着微博的快速发展，微博信息呈现一种爆炸式的增长态势，大量的微博信息导致微博平台成为当今社会重要的舆论场。

如何从海量微博信息中了解并预测出用户所关注话题的热度趋势成为一个具有挑战性的研究课题。

[0003]近年来，基于社交媒体的总统选举预测、票房预测、话题热度预测等预测问题的研究引起了学者们的关注。

其中话题热度预测旨在挖掘话题被关注的情况及变化趋势，而如何量化话题的热度是话题热度预测的重要前提。

高热度话题是指在一段时间内频繁出现在网络上，并被用户广泛关注并讨论的话题。

因此，话题相关微博数及其相关用户共同决定着话题的热度。

然而，现有的微博话题热度预测方法大都只考虑微博信息而忽略了用户社会关系，如很多方法只考虑当前时间片的微博数作为新闻热度，忽略了不同用户对于话题知名度的贡献的区别。

已有部分方法将用户关系考虑在内，但忽略用户同预测话题之间的相关性。

此外，话题的热度不仅受当前时间片产生的微博和相关用户影响，也受到话题的历史热度值的影响。

因此有研究人员引进老化理论计算话题的能量值，刻画话题生命周期。

[0004]从统计的思想出发，话题热度的预测可以看成是在已有的历史时间序列数值情况下，对未来某个时刻的话题的能量值的预测。

现有时间序列值的预测大多基于回归预测模型，如自回归或者自回归滑动预测模型（ARMA)、基于神经网络的预测模型等。

采用基于回归的预测模型适用于值在时间上的波动较为平稳的情况。

而话题在演化过程中具有突发性，表现出明显的多尺度特性。

而基于神经网络的预测模型能够较好地预测非线性的时间序列，但模型训练和计算的复杂度过高。

[0005]综上，现有的话题热度预测系统及方法尚有很大的提升空间。

面对海量微博话题数据，现有方法无论是在效果和效率上都难以满足要求。

发明内容 [0006]本发明的目的在于克服现有技术的不足，提供一种微博话题热度预测系统及方法，该系统及方法可有效预测话题热度。

[0007]为实现上述目的，本发明的技术方案是：一种微博话题热度预测系统，所述系统包括：用户影响力计算模块，用于计算话题相关的用户影响力；话题能量值计算模块，用于根据与话题相关的微博和用户影响力计算话题能量值，量化话题热度；话题热度预测模块，用于根据计算得到的话题能量值，利用小波变换和ARIMA回归模型，预测话题热度。

[0008]本发明还提供一种微博话题热度预测方法，所述方法包括如下步骤：步骤A:计算话题相关的用户影响力；步骤B:根据话题相关的微博和用户影响力，计算话题能量值，量化话题热度；步骤C:根据计算得到的话题能量值，利用小波变换和ARIMA回归模型，预测话题热度：对能量曲线进行小波分解，然后分别对得到的逼近信号与各层的细节信号进行ARIMA回归预测，再对预测的分量进行重构，得到预测的话题热度。

[0009]进一步的，所述步骤A中，计算话题相关的用户影响力，包括以下步骤：步骤A1:定义话题依存度，表示两个用户在话题φ下的相关程度，计算公式为： 其中，Ts/Pp.表示用户~和&的话题依存度；表示用户&和&共同关注用户集合，％y=(匕）n(6)，(6)表示用户6关注的用户集合，/视(心）表示用户^关注的用户集合 表示第ί个时间片内发布与话题Φ相关的微博的用户集合，定义为话题内用户 表示第ί个时间片内没有发布与话题Φ相关的微博的用户集合，定义为话题外用户；ί为一系数，用于削弱话题外用户对用户6和~之间相关程度的贡献，0彡ί彡1;步骤Α2:根据话题依存度，模拟随机游走过程，迭代更新用户影响力，为使得影响力从一个用户以更大的概率转移到与之依存度更高的关注用户，定义用户影响力计算的迭代过程中的概率转移公式为： 步骤A3:引入系数ί削弱话题外的粉丝的影响力贡献，则相应的用户影响力更新公式为： 其中，/^V(^)表示用户6的粉丝集合，e[0,1]为阻尼因子，用于修正用户影响力的计算；迭代过程中的初始影响力 定义为用户与其所有粉丝的依存度总和，即： 每一步迭代计算用户影响力为：Infik) 步骤A4:设定阈值f，当前后两次迭代得到的用户影响力值相差小于阈值f，满足迭代终止条件，话题相关的用户影响力计算结束。

[0010]进一步的，所述步骤B中，计算话题能量值，量化话题热度，包括以下步骤：步骤B1:定义话题能量值是由话题在当前时刻的营养的累积(累计支持度）转换而来，而当前时刻的累积支持度是话题的历史累积支持度经衰减之后同当前摄入的营养值之和；计算在第ί个时间片，话题Φ所获取的营养值，其取决于当前时间片与该话题相关的微博数及话题的影响力，计算公式为： 其中， 表示第ί个时间片话题Φ的营养值，Jiff表示第ί个时间片与话题φ相关的微博集合， 表示微博集合大小 表示第ί个时间片的话题Φ的影响力，其为当前时间片内发布了与话题相关微博的用户对话题Φ的影响力的总和，计算公式如下： 其中，7/?/表示发布与话题ί/7相关的第i条微博的用户ί%.在这个话题上的影响力；步骤Β2:采用指数衰减方案，计算话题在第ί个时间片的累积支持度X: 其中&=0,参数〇e[0,1]为支持度转移因子，决定着营养值对话题生命的贡献；参数，e[0,1]为支持度衰减因子，用于控制话题的衰减速度；步骤B3:采用sigmoid函数定义能量函数将&从无限的范围[0,…）转化到[0,D之间的能量值： 能量函数还要满足以下两个条件： 其中，5；表示累积支持度，万以）表示能量函数，1彡e2彡ei彡0的表示话题能量值的最低阈值，内表示话题能量峰值的最小阈值；通过以上两个限制条件，保证得到的能量计算公式能够使得话题在其稳定期有足够大的能量值表示话题高度活跃，同时话题在其生命周期内的能量值总和要远大于生命周期外的能量值总和。

[0011]进一步的，所述步骤c中，结合小波变换和ARIMA回归模型，预测话题热度，包括以下步骤：步骤Cl:将从第Γί个时间片的能量序列 看做能量信号；对能量信号ι(ί)进行/尺度小波分解后得到一个小波逼近信号4及各层的细节信号4，Je[1，/];再通过小波重构即可得到无损的原始信号： 步骤C2:通过以上的小波分解得到各个分量心与&;利用ARIMA回归方法分别预测第ί+l个时间片的分量预测值 再根据步骤C1得到第ί+l个时间片的话题能量值的预测值： [0012]相较于现有技术，本发明的有益效果是：根据用户关系及话题因素计算用户影响力进而定义话题影响力，并考虑话题影响力和话题相关微博数定义话题能量值，更合理地量化话题的热度，接着结合小波变换与ARIMA回归模型，预测话题热度(能量值)。

所述系统和方法可以实现社交网络热点话题的热度预测，挖掘话题被关注的情况及变化趋势，从海量微博信息中了解并预测出用户所关注话题的热度趋势，并且具有较高的准确度。

附图说明 [0013]图1是本发明系统的模块结构示意图。

[0014]图2是本发明方法的流程图。

具体实施方式 [0015]下面结合附图及具体实施例对本发明作进一步的说明。

[0016]图1是本发明的微博话题热度预测系统的模块结构示意图。

如图1所示，所述系统包括：用户影响力计算模块100、话题能量值计算模块200和话题热度预测模块300。

[0017]用户影响力计算模块100综合考虑微博用户的粉丝数、粉丝影响力及特定话题因素，计算话题相关的用户影响力；话题能量值计算模块200考虑话题相关微博和用户影响力计算话题能量值，用于量化话题热度；话题热度(能量值）预测模块300根据历史的话题能量值，结合小波变换和ARIMA回归模型，预测话题热度(能量值)。

[0018]图2是本发明的微博话题热度预测方法的流程图。

如图2所示，所述方法包括如下步骤：步骤A:考虑微博用户的粉丝数、粉丝影响力及特定话题等因素，计算话题相关的用户影响力。

[0019]计算话题热度时，需要考虑不同用户影响力的差别，计算话题相关的用户影响力，包括以下步骤：步骤A1:定义话题依存度TDR，表示两个用户在话题φ下的相关程度，计算公式为： 其中，TS/Pp.表示用户~和&的话题依存度；表示用户&和&共同关注用户集合，=(匕）n(匕），/^z〇〇)表示用户匕关注的用户集合，/视(匕.）表示用户匕.关注的用户集合 表示第ί个时间片内发布与话题φ相关的微博的用户集合，定义为话题内用户 表示第ί个时间片内没有发布与话题Φ相关的微博的用户集合，定义为话题外用户；ί为一系数，话题外用户对用户^和~之间的话题依存度的贡献要小于话题内用户，因此利用ί削弱话题外用户对用户^和~之间相关程度的贡献，〇