There’s a hidden world of valuable data existing as invisible relationships within social networks. By ignoring the subsurface connections between seemingly unrelated content, these networks are missing out on a huge opportunity. Developers can generate valuable graph-based recommendations by harnessing the power of a graph database to store, manage and query the invisible relationships between people, brands, interests and more. In this session, Kenny Bastani, Neo4j Developer Evangelist, will demonstrate how graph databases are the key to providing richer experiences through personalized online interactions and content discovery.

1. (graphs)-[:are]->(everywhere)
Uncovering

2. Invisible

3. Relationships

4. with

5. a

6. Graph

7. Database
© All Rights Reserved 2014 | Neo Technology, Inc.
@kennybastani
Neo4j

8. Developer

9. Evangelist

10. Agenda
• Quick overview of Neo4j
• Using Neo4j to map the demand for valuable digital content
• Customer stories for social network use cases

12. Social

13. Network

14. Network

15. Impact

16. Analysis

17. Route

18. Finding

19. Recommendations

20. Logistics

21. Access

22. Control

23. Fraud

24. Analysis

25. Graphing

26. Content

27. Demand
• Describing the problem and some challenges
• What are invisible relationships?
• How do you infer relationships using a graph data model?
• How do you graph the demand for social content?
• How do you distribute valuable content where it is most demanded?

28. Describing

29. the

30. problem

31. and

32. some

33. challenges
There

34. is

35. all

36. this

37. digital

38. content

39. that

40. people

41. want,

42. but

43. they

44. don’t

45.
know

46. it

47. exists.

48. Today’s

49. Development

50. Challenges
If

51. you’re

52. using

53. a

54. relational

55. database,

56. recommendation

57. engines

58. are

59.
hard

60. to

61. develop

62. and

63. time

64. consuming.

65. Challenge
Data

66. modeling

67. on

68. relational

69. databases

70. is

71. not

72. a

73. fun

74. thing.
It’s

75. boring,

76. hard

77. to

78. remember,

79. hard

80. to

81. articulate

82. to

83. colleagues.

84. Solution
Neo4j

85. doesn’t

86. just

87. give

88. you

89. an

90. awesome

91. open

92. source

93. graph

94. database.
It

95. provides

96. you

97. with

98. a

99. new

100. way

101. of

102. thinking

103. about

104. how

105. data

106. is

107. connected.
It’s

108. easy.

109. It’s

110. fun.

111. You

112. don’t

113. need

114. to

115. be

116. a

117. 10x

118. to

119. build

120. freaking

121. awesome

122. apps.

123. Relational

124. Schema
Invisible

125. relationships

126. Property

127. Graph
Visible

128. relationships
Tom Hanks Hugo Weaving
Cloud Atlas
The Matrix
Lana
Wachowski
ACTED_IN
ACTED_IN
ACTED_IN
DIRECTED
DIRECTED

129. What

130. are

131. invisible

132. relationships?
People Brands
InterestsBehaviors
Content

133. What

134. are

135. some

136. examples

137. of

138. explicit

139. relationships

140. in

141. a

142. social

143. network?
PeoplePeople
ContentPeople
ContentPeople
InterestsPeople
Follow
Share
Like
Have

144. What

145. are

146. some

147. examples

148. of

149. invisible

150. relationships

151. in

152. a

153. social

154. network?
PeoplePeople
ContentPeople
ContentInterests
Friend

155. of

156. a

157. friend
Demand
Supplies

158. How

159. do

160. you

161. infer

162. relationships

163. using

164. a

165.
graph

166. data

167. model?

168. The

169. goal

170. is

171. to

172. best

173. understand

174. how

175. to

176. deliver

177. highly

178. valuable

179. content

180. to

181. a

182. social

183.
network

184. Make

185. connections

186. where

187. value

188. can

189. be

190. quantized

193. How

194. do

195. you

196. graph

197. the

198. demand

199. for

200.
social

201. content?

204. Map

205. Supply

206. To

207. Demand

208. Create

209. tangible

210. relationships

211. between

212. interests

213. of

214. users

215. to

216. the

217. content

218. they

219. share.

221. You

222. might

223. be

224. thinking...
Content

225. may

226. have

227. nothing

228. to

229. do

230. with

231. an

232. interest

233. that

234. it

235. supplies.
That

236. is

237. ok
Because

238. people

239. don’t

240. always

241. know

242. what

243. they

244. want.

245. How

246. do

247. you

248. distribute

249. valuable

250. content

251.
where

252. it

253. is

254. most

255. demanded?

256. Generate

257. Demand

258. Recommendation
Lars

259. is

260. interested

261. in

262. Venture

263. Capital,

264. Startups,

265. NoSQL,

266. Predictive

267. Analytics
Lars

268. has

269. shared

270. articles:
• Analyst:

271. 'Box's

272. Only

273. Realistic

274. Option

275. Is

276. To

277. Sell

278. The

279. Company’

280.
• NoSQL

281. Job

282. Trends:

283. February

284. 2014

285. Generate

286. Demand

287. Recommendation

288. Generate

289. Demand

290. Recommendation

291. Conclusion
Lars

292. should

293. really

294. read:

295.
!
!
A

296. Massive

297. Market

298. Opportunity

299. Awaits

300. In

301. Analyzing

302. The

303. Internet

304. Of

305. Things

306. The

307. Power

308. of

309. Graph

310. Databases

311. Graph

312. databases

313. provide

314. a

315. means

316. to

317. draw

318. valuable

319. inferences

320. at

321. large

322. scales.

323. Graph

324. databases

325. are

326. a

327. tool

328. to

329. deliver

330. richer

331. experiences

332. through

333. personalized

334.
online

335. interactions

336. and

337. content

338. discovery.
Experiences
Personalized
Interactions
Content
Discovery

339. The

340. invisible

341. relationships

342. in

343. a

344. social

345. network

346. are

347. the

348. ones

349. that

350. haven’t

351. yet

352. been

353.
made.

354. There

355. is

356. a

357. huge

358. opportunity

359. to

360. connect

361. people

362. with

363. content

364. they

365. demand.

366. Some

367. Customer

368. Quotes

369. Gamesys
“Using

370. Neo4j

371. allowed

372. us

373. to

374. focus

375. on

376. the

377. important

378. parts

379. of

380. the

381.
project:

382. getting

383. the

384. domain

385. model

386. right,

387. extracting

388. novel

389. insights

390.
from

391. the

392. data

393. and

394. delivering

395. business

396. value

397. quickly.”
­–

398. Toby

399. O’Rourke,

400. Technical

401. Architect,

402. Gamesys

403. Glassdoor
“The

404. Neo4j

405. graph

406. database

407. proved

408. the

409. perfect

410. fit

411. for

412.
integrating

413. Facebook

414. into

415. the

416. Glassdoor

417. community.

418. As

419. a

420.
result

421. we

422. are

423. able

424. to

425. provide

426. a

427. better

428. experience

429. for

430. our

431.
members

432. and

433. provide

434. them

435. with

436. real

437. job

438. recommendations.”
­–

439. Glassdoor

440. CrunchBase
“Creating

441. the

442. Business

443. Graph

444. requires

445. a

446. technology

447. platform

448.
that

449. can

450. expand

451. and

452. evolve

453. with

454. an

455. ever

456. changing

457. dataset.

458.
CrunchBase

459. 2.0

460. is

461. built

462. on

463. a

464. graph

465. database

466. designed

467. for

468.
applications

469. where

470. you

471. can’t

472. neatly

473. predict

474. what

475. data

476. you

477.
might

478. add

479. down

480. the

481. road,

482. or

483. what

484. queries

485. you

486. might

487. throw

488.
at

489. the

490. data.”
­–

491. Matt

492. Kaufman,

493. President

494. at

495. CrunchBase

496. © All Rights Reserved 2014 | Neo Technology, Inc.
(Thank

497. You)

498. © All Rights Reserved 2014 | Neo Technology, Inc.
Smart

499. people

500. come

501. work

502. with

503. me
We’re

504. looking

505. for

506. awesome

507. data

508. scientists

509. to

510. join

511. the

512. Neo

513. graph.
http://www.neotechnology.com/jobs

514. © All Rights Reserved 2014 | Neo Technology, Inc.
Get

515. in

516. touch
Twitter:
@kennybastani
LinkedIn:
/in/kennybastani